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ORCIDVenkatesh Saligrama
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- affiliation: Department of Electrical and Computer Engineering, Boston University
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2020 – today
- 2024
[j42]Samarth Mishra
, Pengkai Zhu, Venkatesh Saligrama:
Interpretable Compositional Representations for Robust Few-Shot Generalization. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1496-1512 (2024)- [c162]Aditya Gangrade, Tianrui Chen, Venkatesh Saligrama:
Safe Linear Bandits over Unknown Polytopes. COLT 2024: 1755-1795 - [c161]Aditya Gangrade, Aditya Gopalan, Venkatesh Saligrama, Clayton Scott:
Testing the Feasibility of Linear Programs with Bandit Feedback. ICML 2024 - [i101]Samarth Mishra, Kate Saenko, Venkatesh Saligrama:
SynCDR : Training Cross Domain Retrieval Models with Synthetic Data. CoRR abs/2401.00420 (2024) - [i100]Aditya Gangrade, Aditya Gopalan, Venkatesh Saligrama, Clayton Scott:
Testing the Feasibility of Linear Programs with Bandit Feedback. CoRR abs/2406.15648 (2024) - [i99]Ruizhao Zhu, Venkatesh Saligrama:
Deep Companion Learning: Enhancing Generalization Through Historical Consistency. CoRR abs/2407.18821 (2024) - 2023
- [c160]Chen Chen, Dylan Walker, Venkatesh Saligrama:
Ideology Prediction from Scarce and Biased Supervision: Learn to Disregard the "What" and Focus on the "How"! ACL (1) 2023: 9529-9549 - [c159]Ruizhao Zhu, Pengkai Zhu, Samarth Mishra, Venkatesh Saligrama:
Fine-grained Few-shot Recognition by Deep Object Parsing. BMVC 2023: 330-331 - [c158]Ruizhao Zhu, Peng Huang, Eshed Ohn-Bar, Venkatesh Saligrama:
Learning to Drive Anywhere. CoRL 2023: 3631-3653 - [c157]Anil Kag, Durmus Alp Emre Acar, Aditya Gangrade, Venkatesh Saligrama:
Scaffolding a Student to Instill Knowledge. ICLR 2023 - [c156]Anil Kag, Igor Fedorov, Aditya Gangrade, Paul N. Whatmough, Venkatesh Saligrama:
Efficient Edge Inference by Selective Query. ICLR 2023 - [c155]Fangzhou Lin, Yun Yue, Ziming Zhang, Songlin Hou, Kazunori D. Yamada, Vijaya Kolachalama, Venkatesh Saligrama:
InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion. NeurIPS 2023 - [c154]Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris:
Learning Human Action Recognition Representations Without Real Humans. NeurIPS 2023 - [i98]Chen Chen, Dylan Walker, Venkatesh Saligrama:
Filtering Context Mitigates Scarcity and Selection Bias in Political Ideology Prediction. CoRR abs/2302.00239 (2023) - [i97]Ruizhao Zhu, Peng Huang, Eshed Ohn-Bar, Venkatesh Saligrama:
Learning to Drive Anywhere. CoRR abs/2309.12295 (2023) - [i96]Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris:
Learning Human Action Recognition Representations Without Real Humans. CoRR abs/2311.06231 (2023) - 2022
- [c153]Anil Kag, Venkatesh Saligrama:
Condensing CNNs with Partial Differential Equations. CVPR 2022: 600-609 - [c152]Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Richard Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris:
Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data. CVPR 2022: 9184-9194 - [c151]Tianrui Chen, Aditya Gangrade, Venkatesh Saligrama:
Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk. ICML 2022: 3123-3148 - [c150]Bhuvesh Kumar, Jacob D. Abernethy, Venkatesh Saligrama:
ActiveHedge: Hedge meets Active Learning. ICML 2022: 11694-11709 - [c149]Ali Siahkamari, Durmus Alp Emre Acar, Christopher Liao, Kelly L. Geyer, Venkatesh Saligrama, Brian Kulis:
Faster Algorithms for Learning Convex Functions. ICML 2022: 20176-20194 - [c148]Yo-whan Kim, Samarth Mishra, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Kate Saenko, Aude Oliva, Rogério Feris:
How Transferable are Video Representations Based on Synthetic Data? NeurIPS 2022 - [i95]Tianrui Chen, Aditya Gangrade, Venkatesh Saligrama:
Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk. CoRR abs/2204.00706 (2022) - [i94]Samarth Mishra, Pengkai Zhu, Venkatesh Saligrama:
Learning Compositional Representations for Effective Low-Shot Generalization. CoRR abs/2204.08090 (2022) - [i93]Durmus Alp Emre Acar, Venkatesh Saligrama:
FedHeN: Federated Learning in Heterogeneous Networks. CoRR abs/2207.03031 (2022) - [i92]Pengkai Zhu, Ruizhao Zhu, Samarth Mishra, Venkatesh Saligrama:
Fine-grained Few-shot Recognition by Deep Object Parsing. CoRR abs/2207.07110 (2022) - [i91]Tianrui Chen, Aditya Gangrade, Venkatesh Saligrama:
A Doubly Optimistic Strategy for Safe Linear Bandits. CoRR abs/2209.13694 (2022) - 2021
- [c147]Aditya Gangrade, Anil Kag, Venkatesh Saligrama:
Selective Classification via One-Sided Prediction. AISTATS 2021: 2179-2187 - [c146]Samarth Mishra, Kate Saenko, Venkatesh Saligrama:
Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency. BMVC 2021: 177 - [c145]Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan A. Plummer:
Effectively Leveraging Attributes for Visual Similarity. CVPR Workshops 2021: 3904-3909 - [c144]Anil Kag, Venkatesh Saligrama:
Time Adaptive Recurrent Neural Network. CVPR 2021: 15149-15158 - [c143]Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan A. Plummer:
Effectively Leveraging Attributes for Visual Similarity. ICCV 2021: 995-1004 - [c142]Durmus Alp Emre Acar, Yue Zhao, Ramon Matas Navarro, Matthew Mattina, Paul N. Whatmough, Venkatesh Saligrama:
Federated Learning Based on Dynamic Regularization. ICLR 2021 - [c141]Durmus Alp Emre Acar, Yue Zhao, Ruizhao Zhu, Ramon Matas Navarro, Matthew Mattina, Paul N. Whatmough, Venkatesh Saligrama:
Debiasing Model Updates for Improving Personalized Federated Training. ICML 2021: 21-31 - [c140]Durmus Alp Emre Acar, Ruizhao Zhu, Venkatesh Saligrama:
Memory Efficient Online Meta Learning. ICML 2021: 32-42 - [c139]Anil Kag, Venkatesh Saligrama:
Training Recurrent Neural Networks via Forward Propagation Through Time. ICML 2021: 5189-5200 - [c138]Aditya Gangrade, Anil Kag, Ashok Cutkosky, Venkatesh Saligrama:
Online Selective Classification with Limited Feedback. NeurIPS 2021: 14529-14541 - [c137]Aditya Gopalan, Braghadeesh Lakshminarayanan, Venkatesh Saligrama:
Bandit Quickest Changepoint Detection. NeurIPS 2021: 29064-29073 - [i90]Samarth Mishra, Kate Saenko, Venkatesh Saligrama:
Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency. CoRR abs/2101.12727 (2021) - [i89]Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan A. Plummer:
Effectively Leveraging Attributes for Visual Similarity. CoRR abs/2105.01695 (2021) - [i88]Aditya Gopalan, Venkatesh Saligrama, Braghadeesh Lakshminarayanan:
Bandit Quickest Changepoint Detection. CoRR abs/2107.10492 (2021) - [i87]Aditya Gangrade, Anil Kag, Ashok Cutkosky, Venkatesh Saligrama:
Online Selective Classification with Limited Feedback. CoRR abs/2110.14243 (2021) - [i86]Ali Siahkamari, Durmus Alp Emre Acar, Christopher Liao, Kelly Geyer, Venkatesh Saligrama, Brian Kulis:
Faster Convex Lipschitz Regression via 2-block ADMM. CoRR abs/2111.01348 (2021) - [i85]Durmus Alp Emre Acar, Yue Zhao, Ramon Matas Navarro, Matthew Mattina, Paul N. Whatmough, Venkatesh Saligrama:
Federated Learning Based on Dynamic Regularization. CoRR abs/2111.04263 (2021) - [i84]Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris:
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data. CoRR abs/2112.00054 (2021) - 2020
- [j41]Yao Ma, Alex Olshevsky, Csaba Szepesvári, Venkatesh Saligrama:
Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers. J. Mach. Learn. Res. 21: 133:1-133:36 (2020) - [j40]Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama:
Zero Shot Detection. IEEE Trans. Circuits Syst. Video Technol. 30(4): 998-1010 (2020) - [c136]Venkatesh Saligrama, Alexander Olshevsky, Julien M. Hendrickx:
Minimax Rank-$1$ Matrix Factorization. AISTATS 2020: 3426-3436 - [c135]Durmus Alp Emre Acar, Aditya Gangrade, Venkatesh Saligrama:
Budget Learning via Bracketing. AISTATS 2020: 4109-4119 - [c134]Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama:
Don't Even Look Once: Synthesizing Features for Zero-Shot Detection. CVPR 2020: 11690-11699 - [c133]Anil Kag, Ziming Zhang, Venkatesh Saligrama:
RNNs Incrementally Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? ICLR 2020 - [c132]Julien M. Hendrickx, Alex Olshevsky, Venkatesh Saligrama:
Minimax Rate for Learning From Pairwise Comparisons in the BTL Model. ICML 2020: 4193-4202 - [c131]Ali Siahkamari, Aditya Gangrade, Brian Kulis, Venkatesh Saligrama:
Piecewise Linear Regression via a Difference of Convex Functions. ICML 2020: 8895-8904 - [c130]Pengkai Zhu, Ruizhao Zhu, Samarth Mishra, Venkatesh Saligrama:
Low Dimensional Visual Attributes: An Interpretable Image Encoding. ICPR Workshops (3) 2020: 90-102 - [c129]Yun Yue, Ming Li, Venkatesh Saligrama, Ziming Zhang:
RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm. ICPR 2020: 10532-10539 - [c128]Aditya Gangrade, Bobak Nazer, Venkatesh Saligrama:
Limits on Testing Structural Changes in Ising Models. NeurIPS 2020 - [c127]Ali Siahkamari, Xide Xia, Venkatesh Saligrama, David A. Castañón, Brian Kulis:
Learning to Approximate a Bregman Divergence. NeurIPS 2020 - [c126]Arun Verma, Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama:
Online Algorithm for Unsupervised Sequential Selection with Contextual Information. NeurIPS 2020 - [i83]Aditya Gangrade, Durmus Alp Emre Acar, Venkatesh Saligrama:
Budget Learning via Bracketing. CoRR abs/2004.06298 (2020) - [i82]Ali Siahkamari, Aditya Gangrade, Brian Kulis, Venkatesh Saligrama:
Piecewise Linear Regression via a Difference of Convex Functions. CoRR abs/2007.02422 (2020) - [i81]Yun Yue, Ming Li, Venkatesh Saligrama, Ziming Zhang:
RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm. CoRR abs/2010.05397 (2020) - [i80]Aditya Gangrade, Anil Kag, Venkatesh Saligrama:
Selective Classification via One-Sided Prediction. CoRR abs/2010.07853 (2020) - [i79]Arun Verma, Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama:
Online Algorithm for Unsupervised Sequential Selection with Contextual Information. CoRR abs/2010.12353 (2020) - [i78]Aditya Gangrade, Bobak Nazer, Venkatesh Saligrama:
Limits on Testing Structural Changes in Ising Models. CoRR abs/2011.03678 (2020)
2010 – 2019
- 2019
- [j39]Yuting Chen, Joseph Wang, Yannan Bai, Gregory D. Castañón, Venkatesh Saligrama:
Probabilistic Semantic Retrieval for Surveillance Videos With Activity Graphs. IEEE Trans. Multim. 21(3): 704-716 (2019) - [c125]Pengkai Zhu, Durmus Alp Emre Acar, Nan Feng, Prateek Jain, Venkatesh Saligrama:
Cost aware Inference for IoT Devices. AISTATS 2019: 2770-2779 - [c124]Arun Verma, Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama:
Online Algorithm for Unsupervised Sensor Selection. AISTATS 2019: 3168-3176 - [c123]Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama:
Generalized Zero-Shot Recognition Based on Visually Semantic Embedding. CVPR 2019: 2995-3003 - [c122]Md. Rizwan Parvez, Tolga Bolukbasi, Kai-Wei Chang, Venkatesh Saligrama:
Robust Text Classifier on Test-Time Budgets. EMNLP/IJCNLP (1) 2019: 1167-1172 - [c121]Hanxiao Wang, Venkatesh Saligrama, Stan Sclaroff, Vitaly Ablavsky:
Cost-Aware Fine-Grained Recognition for IoTs Based on Sequential Fixations. ICCV 2019: 1252-1261 - [c120]Julien M. Hendrickx, Alexander Olshevsky, Venkatesh Saligrama:
Graph Resistance and Learning from Pairwise Comparisons. ICML 2019: 2702-2711 - [c119]Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama:
Learning Classifiers for Target Domain with Limited or No Labels. ICML 2019: 7643-7653 - [c118]Aditya Gangrade, Praveen Venkatesh, Bobak Nazer, Venkatesh Saligrama:
Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models. NeurIPS 2019: 10364-10375 - [c117]Don Kurian Dennis, Durmus Alp Emre Acar, Vikram Mandikal, Vinu Sankar Sadasivan, Venkatesh Saligrama, Harsha Vardhan Simhadri, Prateek Jain:
Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices. NeurIPS 2019: 12896-12906 - [i77]Arun Verma, Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama:
Online Algorithm for Unsupervised Sensor Selection. CoRR abs/1901.04676 (2019) - [i76]Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama:
Learning for New Visual Environments with Limited Labels. CoRR abs/1901.09079 (2019) - [i75]Julien M. Hendrickx, Alex Olshevsky, Venkatesh Saligrama:
Graph Resistance and Learning from Pairwise Comparisons. CoRR abs/1902.00141 (2019) - [i74]Ziming Zhang, Anil Kag, Alan Sullivan, Venkatesh Saligrama:
Equilibrated Recurrent Neural Network: Neuronal Time-Delayed Self-Feedback Improves Accuracy and Stability. CoRR abs/1903.00755 (2019) - [i73]Yao Ma, Alex Olshevsky, Venkatesh Saligrama, Csaba Szepesvári:
Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers. CoRR abs/1904.11608 (2019) - [i72]Ali Siahkamari, Venkatesh Saligrama, David Castanon, Brian Kulis:
Learning Bregman Divergences. CoRR abs/1905.11545 (2019) - [i71]Anil Kag, Ziming Zhang, Venkatesh Saligrama:
RNNs Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? CoRR abs/1908.08574 (2019) - [i70]Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama:
Dont Even Look Once: Synthesizing Features for Zero-Shot Detection. CoRR abs/1911.07933 (2019) - 2018
- [j38]Ziming Zhang, Yun Liu, Xi Chen, Yanjun Zhu, Ming-Ming Cheng, Venkatesh Saligrama, Philip H. S. Torr:
Sequential Optimization for Efficient High-Quality Object Proposal Generation. IEEE Trans. Pattern Anal. Mach. Intell. 40(5): 1209-1223 (2018) - [j37]Anelia Somekh-Baruch, Amir Leshem, Venkatesh Saligrama:
On the Non-Existence of Unbiased Estimators in Constrained Estimation Problems. IEEE Trans. Inf. Theory 64(8): 5549-5554 (2018) - [c116]Aditya Gangrade, Bobak Nazer, Venkatesh Saligrama:
Two-Sample Testing can be as Hard as Structure Learning in Ising Models: Minimax Lower Bounds. ICASSP 2018: 6931-6935 - [c115]Yao Ma, Alexander Olshevsky, Csaba Szepesvári, Venkatesh Saligrama:
Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers. ICML 2018: 3341-3350 - [i69]Pengkai Zhu, Hanxiao Wang, Tolga Bolukbasi, Venkatesh Saligrama:
Zero-Shot Detection. CoRR abs/1803.07113 (2018) - [i68]Hanxiao Wang, Venkatesh Saligrama, Stan Sclaroff, Vitaly Ablavsky:
Learning Where to Fixate on Foveated Images. CoRR abs/1811.06868 (2018) - [i67]Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama:
Generalized Zero-Shot Recognition based on Visually Semantic Embedding. CoRR abs/1811.07993 (2018) - [i66]Aditya Gangrade, Praveen Venkatesh, Bobak Nazer, Venkatesh Saligrama:
Testing Changes in Communities for the Stochastic Block Model. CoRR abs/1812.00769 (2018) - 2017
- [j36]Ziming Zhang, Venkatesh Saligrama:
PRISM: Person Reidentification via Structured Matching. IEEE Trans. Circuits Syst. Video Technol. 27(3): 499-512 (2017) - [j35]Cem Aksoylar, George K. Atia, Venkatesh Saligrama:
Sparse Signal Processing With Linear and Nonlinear Observations: A Unified Shannon-Theoretic Approach. IEEE Trans. Inf. Theory 63(2): 749-776 (2017) - [j34]Abhinav Ganesan, Sidharth Jaggi, Venkatesh Saligrama:
Learning Immune-Defectives Graph Through Group Tests. IEEE Trans. Inf. Theory 63(5): 3010-3028 (2017) - [j33]Feng Nan, Venkatesh Saligrama:
Comments on the Proof of Adaptive Stochastic Set Cover Based on Adaptive Submodularity and Its Implications for the Group Identification Problem in "Group-Based Active Query Selection for Rapid Diagnosis in Time-Critical Situations". IEEE Trans. Inf. Theory 63(11): 7612-7614 (2017) - [j32]Cem Aksoylar, Jing Qian, Venkatesh Saligrama:
Clustering and Community Detection With Imbalanced Clusters. IEEE Trans. Signal Inf. Process. over Networks 3(1): 61-76 (2017) - [c114]Tolga Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama:
Resource Constrained Structured Prediction. AAAI 2017: 1756-1762 - [c113]Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama:
Unsupervised Sequential Sensor Acquisition. AISTATS 2017: 803-811 - [c112]Aditya Gangrade, Bobak Nazer, Venkatesh Saligrama:
Lower bounds for two-sample structural change detection in ising and Gaussian models. Allerton 2017: 1016-1025 - [c111]Cem Aksoylar, Lorenzo Orecchia, Venkatesh Saligrama:
Connected Subgraph Detection with Mirror Descent on SDPs. ICML 2017: 51-59 - [c110]Tolga Bolukbasi, Joseph Wang, Ofer Dekel, Venkatesh Saligrama:
Adaptive Neural Networks for Efficient Inference. ICML 2017: 527-536 - [c109]Feng Nan, Venkatesh Saligrama:
Adaptive Classification for Prediction Under a Budget. NIPS 2017: 4727-4737 - [i65]Tolga Bolukbasi, Joseph Wang, Ofer Dekel, Venkatesh Saligrama:
Adaptive Neural Networks for Fast Test-Time Prediction. CoRR abs/1702.07811 (2017) - [i64]Zafar Takhirov, Joseph Wang, Marcia S. Louis, Venkatesh Saligrama, Ajay Joshi:
Field of Groves: An Energy-Efficient Random Forest. CoRR abs/1704.02978 (2017) - [i63]Feng Nan, Venkatesh Saligrama:
Dynamic Model Selection for Prediction Under a Budget. CoRR abs/1704.07505 (2017) - [i62]Feng Nan, Venkatesh Saligrama:
Comments on the proof of adaptive submodular function minimization. CoRR abs/1705.03771 (2017) - [i61]Feng Nan, Venkatesh Saligrama:
Adaptive Classification for Prediction Under a Budget. CoRR abs/1705.10194 (2017) - [i60]Henghui Zhu, Feng Nan, Ioannis Ch. Paschalidis, Venkatesh Saligrama:
Sequential Dynamic Decision Making with Deep Neural Nets on a Test-Time Budget. CoRR abs/1705.10924 (2017) - [i59]Yao Ma, Alex Olshevsky, Venkatesh Saligrama, Csaba Szepesvári:
Crowdsourcing with Sparsely Interacting Workers. CoRR abs/1706.06660 (2017) - [i58]Aditya Gangrade, Bobak Nazer, Venkatesh Saligrama:
Lower Bounds for Two-Sample Structural Change Detection in Ising and Gaussian Models. CoRR abs/1710.10366 (2017) - [i57]Yuting Chen, Joseph Wang, Yannan Bai, Gregory D. Castañón, Venkatesh Saligrama:
Probabilistic Semantic Retrieval for Surveillance Videos with Activity Graphs. CoRR abs/1712.06204 (2017) - 2016
- [j31]Weicong Ding, Prakash Ishwar, Venkatesh Saligrama:
A Provably Efficient Algorithm for Separable Topic Discovery. IEEE J. Sel. Top. Signal Process. 10(4): 712-725 (2016) - [j30]Greg Castañón, Mohamed A. Elgharib, Venkatesh Saligrama, Pierre-Marc Jodoin:
Retrieval in Long-Surveillance Videos Using User-Described Motion and Object Attributes. IEEE Trans. Circuits Syst. Video Technol. 26(12): 2313-2327 (2016) - [j29]Vincenzo Matta, Cédric Richard, Venkatesh Saligrama, Ali H. Sayed:
Guest Editorial Inference and Learning over Networks. IEEE Trans. Signal Inf. Process. over Networks 2(4): 423-425 (2016) - [j28]Mohammad Hossein Rohban, Venkatesh Saligrama, Delaram Motamed Vaziri:
Minimax Optimal Sparse Signal Recovery With Poisson Statistics. IEEE Trans. Signal Process. 64(13): 3495-3508 (2016) - [c108]Huanyu Ding, Eric Cristofalo, Joseph Wang, David A. Castañón, Eduardo Montijano, Venkatesh Saligrama, Mac Schwager:
A multi-resolution approach for discovery and 3-D modeling of archaeological sites using satellite imagery and a UAV-borne camera. ACC 2016: 1359-1365 - [c107]Ziming Zhang, Yuting Chen, Venkatesh Saligrama:
Efficient Training of Very Deep Neural Networks for Supervised Hashing. CVPR 2016: 1487-1495 - [c106]Ziming Zhang, Venkatesh Saligrama:
Zero-Shot Learning via Joint Latent Similarity Embedding. CVPR 2016: 6034-6042 - [c105]Ziming Zhang, Venkatesh Saligrama:
Zero-Shot Recognition via Structured Prediction. ECCV (7) 2016: 533-548 - [c104]Manjesh Kumar Hanawal, Amir Leshem, Venkatesh Saligrama:
Efficient algorithms for linear polyhedral bandits. ICASSP 2016: 4796-4800 - [c103]Zafar Takhirov, Joseph Wang, Venkatesh Saligrama, Ajay Joshi:
Energy-Efficient Adaptive Classifier Design for Mobile Systems. ISLPED 2016: 52-57 - [c102]Feng Nan, Joseph Wang, Venkatesh Saligrama:
Pruning Random Forests for Prediction on a Budget. NIPS 2016: 2334-2342 - [c101]Tolga Bolukbasi, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama, Adam Tauman Kalai:
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings. NIPS 2016: 4349-4357 - [i56]Feng Nan, Joseph Wang, Venkatesh Saligrama:
Optimally Pruning Decision Tree Ensembles With Feature Cost. CoRR abs/1601.00955 (2016) - [i55]Jonathan Root, Venkatesh Saligrama, Jing Qian:
Learning Minimum Volume Sets and Anomaly Detectors from KNN Graphs. CoRR abs/1601.06105 (2016) - [i54]Tolga Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama:
Structured Prediction with Test-time Budget Constraints. CoRR abs/1602.08761 (2016) - [i53]Feng Nan, Joseph Wang, Venkatesh Saligrama:
Pruning Random Forests for Prediction on a Budget. CoRR abs/1606.05060 (2016) - [i52]Tolga Bolukbasi, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama, Adam Tauman Kalai:
Quantifying and Reducing Stereotypes in Word Embeddings. CoRR abs/1606.06121 (2016) - [i51]Tolga Bolukbasi, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama, Adam Kalai:
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings. CoRR abs/1607.06520 (2016) - [i50]Cem Aksoylar, Jing Qian, Venkatesh Saligrama:
Clustering and Community Detection with Imbalanced Clusters. CoRR abs/1608.07605 (2016) - [i49]Anelia Somekh-Baruch, Amir Leshem, Venkatesh Saligrama:
On the Non-Existence of Unbiased Estimators in Constrained Estimation Problems. CoRR abs/1609.07415 (2016) - [i48]Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama:
Sequential Learning without Feedback. CoRR abs/1610.05394 (2016) - [i47]Ziming Zhang, Venkatesh Saligrama:
Learning Joint Feature Adaptation for Zero-Shot Recognition. CoRR abs/1611.07593 (2016) - 2015
- [j27]Wuyang Dai, Theodora S. Brisimi, William G. Adams, Theofanie Mela, Venkatesh Saligrama, Ioannis Ch. Paschalidis:
Prediction of hospitalization due to heart diseases by supervised learning methods. Int. J. Medical Informatics 84(3): 189-197 (2015) - [j26]George K. Atia, Venkatesh Saligrama, Cem Aksoylar:
Correction to "Boolean Compressed Sensing and Noisy Group Testing". IEEE Trans. Inf. Theory 61(3): 1507 (2015) - [c100]Weicong Ding, Prakash Ishwar, Venkatesh Saligrama:
A Topic Modeling Approach to Ranking. AISTATS 2015 - [c99]Jonathan Root, Jing Qian, Venkatesh Saligrama:
Learning Efficient Anomaly Detectors from K-NN Graphs. AISTATS 2015 - [c98]Manjesh Kumar Hanawal, Venkatesh Saligrama:
Cost effective algorithms for spectral bandits. Allerton 2015: 1323-1329 - [c97]Ziming Zhang, Venkatesh Saligrama:
Rapid: Rapidly accelerated proximal gradient algorithms for convex minimization. ICASSP 2015: 3796-3800 - [c96]Weicong Ding, Prakash Ishwar, Venkatesh Saligrama:
Learning shared rankings from mixtures of noisy pairwise comparisons. ICASSP 2015: 5446-5450 - [c95]Manjesh Kumar Hanawal, Venkatesh Saligrama:
Efficient detection and localization on graph structured data. ICASSP 2015: 5590-5594 - [c94]Ziming Zhang, Yuting Chen, Venkatesh Saligrama:
Group Membership Prediction. ICCV 2015: 3916-3924 - [c93]Ziming Zhang, Venkatesh Saligrama:
Zero-Shot Learning via Semantic Similarity Embedding. ICCV 2015: 4166-4174 - [c92]Feng Nan, Joseph Wang, Venkatesh Saligrama:
Feature-Budgeted Random Forest. ICML 2015: 1983-1991 - [c91]Manjesh Kumar Hanawal, Venkatesh Saligrama, Michal Valko, Rémi Munos:
Cheap Bandits. ICML 2015: 2133-2142 - [c90]Abhinav Ganesan, Sidharth Jaggi, Venkatesh Saligrama:
Learning immune-defectives graph through group tests. ISIT 2015: 66-70 - [c89]Weicong Ding, Prakash Ishwar, Venkatesh Saligrama:
Most large topic models are approximately separable. ITA 2015: 199-203 - [c88]Abhinav Ganesan, Sidharth Jaggi, Venkatesh Saligrama:
Non-adaptive group testing with inhibitors. ITW 2015: 1-5 - [c87]Gregory D. Castañón, Yuting Chen, Ziming Zhang, Venkatesh Saligrama:
Efficient Activity Retrieval through Semantic Graph Queries. ACM Multimedia 2015: 391-400 - [c86]Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama:
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction. NIPS 2015: 2152-2160 - [i46]Feng Nan, Joseph Wang, Venkatesh Saligrama:
Max-Cost Discrete Function Evaluation Problem under a Budget. CoRR abs/1501.02702 (2015) - [i45]Jing Qian, Jonathan Root, Venkatesh Saligrama:
Learning Efficient Anomaly Detectors from K-NN Graphs. CoRR abs/1502.01783 (2015) - [i44]Feng Nan, Joseph Wang, Venkatesh Saligrama:
Feature-Budgeted Random Forest. CoRR abs/1502.05925 (2015) - [i43]Abhinav Ganesan, Sidharth Jaggi, Venkatesh Saligrama:
Learning Immune-Defectives Graph through Group Tests. CoRR abs/1503.00555 (2015) - [i42]Weicong Ding, Prakash Ishwar, Venkatesh Saligrama:
Learning Mixed Membership Mallows Models from Pairwise Comparisons. CoRR abs/1504.00757 (2015) - [i41]Manjesh Kumar Hanawal, Venkatesh Saligrama, Michal Valko, Rémi Munos:
Cheap Bandits. CoRR abs/1506.04782 (2015) - [i40]Weicong Ding, Prakash Ishwar, Venkatesh Saligrama:
Necessary and Sufficient Conditions and a Provably Efficient Algorithm for Separable Topic Discovery. CoRR abs/1508.05565 (2015) - [i39]Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama:
Sensor Selection by Linear Programming. CoRR abs/1509.02954 (2015) - [i38]Ziming Zhang, Venkatesh Saligrama:
Zero-Shot Learning via Semantic Similarity Embedding. CoRR abs/1509.04767 (2015) - [i37]Ziming Zhang, Yuting Chen, Venkatesh Saligrama:
Group Membership Prediction. CoRR abs/1509.04783 (2015) - [i36]Manjesh Kumar Hanawal, Amir Leshem, Venkatesh Saligrama:
Algorithms for Linear Bandits on Polyhedral Sets. CoRR abs/1509.07927 (2015) - [i35]Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama:
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction. CoRR abs/1510.07609 (2015) - [i34]Ziming Zhang, Yun Liu, Tolga Bolukbasi, Ming-Ming Cheng, Venkatesh Saligrama:
BING++: A Fast High Quality Object Proposal Generator at 100fps. CoRR abs/1511.04511 (2015) - [i33]Ziming Zhang, Venkatesh Saligrama:
Classifying Unseen Instances by Learning Class-Independent Similarity Functions. CoRR abs/1511.04512 (2015) - [i32]Ziming Zhang, Yuting Chen, Venkatesh Saligrama:
Supervised Hashing with Deep Neural Networks. CoRR abs/1511.04524 (2015) - 2014
- [j25]Chun Lam Chan, Sidharth Jaggi, Venkatesh Saligrama, Samar Agnihotri:
Non-Adaptive Group Testing: Explicit Bounds and Novel Algorithms. IEEE Trans. Inf. Theory 60(5): 3019-3035 (2014) - [c85]Cem Aksoylar, Venkatesh Saligrama:
Information-Theoretic Characterization of Sparse Recovery. AISTATS 2014: 38-46 - [c84]Weicong Ding, Mohammad H. Rohban, Prakash Ishwar, Venkatesh Saligrama:
Efficient Distributed Topic Modeling with Provable Guarantees. AISTATS 2014: 167-175 - [c83]Jing Qian, Venkatesh Saligrama, Yuting Chen:
Connected Sub-graph Detection. AISTATS 2014: 796-804 - [c82]Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama:
An LP for Sequential Learning Under Budgets. AISTATS 2014: 987-995 - [c81]Ziming Zhang, Yuting Chen, Venkatesh Saligrama:
A Novel Visual Word Co-occurrence Model for Person Re-identification. ECCV Workshops (3) 2014: 122-133 - [c80]Joseph Wang, Tolga Bolukbasi, Kirill Trapeznikov, Venkatesh Saligrama:
Model Selection by Linear Programming. ECCV (2) 2014: 647-662 - [c79]Weicong Ding, Prakash Ishwar, Venkatesh Saligrama, W. Clem Karl:
Sensing-aware kernel SVM. ICASSP 2014: 2947-2951 - [c78]Feng Nan, Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama:
Fast margin-based cost-sensitive classification. ICASSP 2014: 2952-2956 - [c77]Jing Qian, Venkatesh Saligrama:
Spectral clustering with imbalanced data. ICASSP 2014: 3057-3061 - [c76]Jing Qian, Venkatesh Saligrama, Yuting Chen:
Anomalous cluster detection. ICASSP 2014: 3854-3858 - [c75]Delaram Motamedvaziri, Mohammad Hossein Rohban, Venkatesh Saligrama:
Sparse signal recovery under poisson statistics for online marketing applications. ICASSP 2014: 4953-4957 - [c74]Cem Aksoylar, Venkatesh Saligrama:
Information-theoretic bounds for adaptive sparse recovery. ISIT 2014: 1311-1315 - [c73]Jing Qian, Venkatesh Saligrama:
Efficient Minimax Signal Detection on Graphs. NIPS 2014: 2708-2716 - [i31]Cem Aksoylar, Venkatesh Saligrama:
Information-Theoretic Bounds for Adaptive Sparse Recovery. CoRR abs/1402.5731 (2014) - [i30]Cem Aksoylar, Venkatesh Saligrama:
Sparse Recovery with Linear and Nonlinear Observations: Dependent and Noisy Data. CoRR abs/1403.3109 (2014) - [i29]Greg Castañón, Mohamed A. Elgharib, Venkatesh Saligrama, Pierre-Marc Jodoin:
Retrieval in Long Surveillance Videos using User Described Motion and Object Attributes. CoRR abs/1405.0234 (2014) - [i28]Ziming Zhang, Venkatesh Saligrama:
Person Re-identification via Structured Prediction. CoRR abs/1406.4444 (2014) - [i27]Ziming Zhang, Venkatesh Saligrama:
RAPID: Rapidly Accelerated Proximal Gradient Algorithms for Convex Minimization. CoRR abs/1406.4445 (2014) - [i26]Ziming Zhang, Yuting Chen, Venkatesh Saligrama:
A Novel Visual Word Co-occurrence Model for Person Re-identification. CoRR abs/1410.6532 (2014) - [i25]Abhinav Ganesan, Javad Ebrahimi, Sidharth Jaggi, Venkatesh Saligrama:
Non-Adaptive Group Testing with Inhibitors. CoRR abs/1410.8440 (2014) - [i24]Weicong Ding, Prakash Ishwar, Venkatesh Saligrama:
A Topic Modeling Approach to Ranking. CoRR abs/1412.3705 (2014) - 2013
- [j24]Venkatesh Saligrama, Ery Arias-Castro, Rama Chellappa, Alfred O. Hero III, Robert D. Nowak, Venugopal V. Veeravalli:
Introduction to the issue on anomalous pattern discovery for spatial, temporal, networked, and high-dimensional signals. IEEE J. Sel. Top. Signal Process. 7(1): 1-3 (2013) - [j23]Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón:
Multi-stage classifier design. Mach. Learn. 92(2-3): 479-502 (2013) - [c72]Joseph Wang, Venkatesh Saligrama:
Locally-Linear Learning Machines (L3M). ACML 2013: 451-466 - [c71]Weicong Ding, Prakash Ishwar, Venkatesh Saligrama:
Dynamic topic discovery through sequential projections. ACSSC 2013: 1100-1104 - [c70]Kirill Trapeznikov, Venkatesh Saligrama:
Supervised Sequential Classification Under Budget Constraints. AISTATS 2013: 581-589 - [c69]Delaram Motamedvaziri, Mohammad H. Rohban, Venkatesh Saligrama:
Sparse signal recovery under Poisson statistics. Allerton 2013: 1450-1457 - [c68]Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama:
Online local linear classification. CAMSAP 2013: 173-176 - [c67]Mohamed A. Elgharib, François Pitié, Anil C. Kokaram, Venkatesh Saligrama:
User-assisted reflection detection and feature point tracking. CVMP 2013: 13:1-13:10 - [c66]Yuting Chen, Jing Qian, Venkatesh Saligrama:
A new one-class SVM for anomaly detection. ICASSP 2013: 3567-3571 - [c65]Cem Aksoylar, George K. Atia, Venkatesh Saligrama:
Compressive sensing bounds through a unifying framework for sparse models. ICASSP 2013: 5524-5528 - [c64]Weicong Ding, Mohammad H. Rohban, Prakash Ishwar, Venkatesh Saligrama:
A new geometric approach to latent topic modeling and discovery. ICASSP 2013: 5568-5572 - [c63]Weicong Ding, Mohammad Hossein Rohban, Prakash Ishwar, Venkatesh Saligrama:
Topic Discovery through Data Dependent and Random Projections. ICML (3) 2013: 1202-1210 - [c62]Cem Aksoylar, George K. Atia, Venkatesh Saligrama:
Sparse signal processing with linear and non-linear observations: A unified shannon theoretic approach. ITW 2013: 1-5 - [c61]Chun Lam Chan, Sheng Cai, Mayank Bakshi, Sidharth Jaggi, Venkatesh Saligrama:
Stochastic threshold group testing. ITW 2013: 1-5 - [c60]Mohammad H. Rohban, Prakash Ishwar, Burkay Orten, William Clement Karl, Venkatesh Saligrama:
An impossibility result for high dimensional supervised learning. ITW 2013: 1-5 - [i23]Weicong Ding, Mohammad H. Rohban, Prakash Ishwar, Venkatesh Saligrama:
Topic Discovery through Data Dependent and Random Projections. CoRR abs/1303.3664 (2013) - [i22]Cem Aksoylar, George K. Atia, Venkatesh Saligrama:
Sparse Signal Processing with Linear and Non-Linear Observations: A Unified Shannon Theoretic Approach. CoRR abs/1304.0682 (2013) - [i21]Chun Lam Chan, Sheng Cai, Mayank Bakshi, Sidharth Jaggi, Venkatesh Saligrama:
Near-Optimal Stochastic Threshold Group Testing. CoRR abs/1304.6027 (2013) - [i20]Weicong Ding, Prakash Ishwar, Mohammad H. Rohban, Venkatesh Saligrama:
Necessary and Sufficient Conditions for Novel Word Detection in Separable Topic Models. CoRR abs/1310.7994 (2013) - [i19]Weicong Ding, Prakash Ishwar, Venkatesh Saligrama, W. Clem Karl:
Sensing-Aware Kernel SVM. CoRR abs/1312.0512 (2013) - 2012
- [j22]Pierre-Marc Jodoin, Venkatesh Saligrama, Janusz Konrad:
Behavior Subtraction. IEEE Trans. Image Process. 21(9): 4244-4255 (2012) - [j21]Mahdi Cheraghchi, Amin Karbasi, Soheil Mohajer, Venkatesh Saligrama:
Graph-Constrained Group Testing. IEEE Trans. Inf. Theory 58(1): 248-262 (2012) - [j20]George K. Atia, Venkatesh Saligrama:
Boolean Compressed Sensing and Noisy Group Testing. IEEE Trans. Inf. Theory 58(3): 1880-1901 (2012) - [j19]Venkatesh Saligrama:
Aperiodic Sequences With Uniformly Decaying Correlations With Applications to Compressed Sensing and System Identification. IEEE Trans. Inf. Theory 58(9): 6023-6036 (2012) - [c59]Greg Castañón, Venkatesh Saligrama, André-Louis Caron, Pierre-Marc Jodoin:
Real-Time Activity Search of Surveillance Video. AVSS 2012: 246-251 - [c58]Peter B. Jones, Sanjoy K. Mitter, Venkatesh Saligrama:
Bayesian filtering without an observation model. CDC 2012: 3496-3501 - [c57]Venkatesh Saligrama, Zhu Chen:
Video anomaly detection based on local statistical aggregates. CVPR 2012: 2112-2119 - [c56]Chun Lam Chan, Sidharth Jaggi, Venkatesh Saligrama, Samar Agnihotri:
Non-adaptive group testing: Explicit bounds and novel algorithms. ISIT 2012: 1837-1841 - [c55]Gregory D. Castañón, André-Louis Caron, Venkatesh Saligrama, Pierre-Marc Jodoin:
Exploratory search of long surveillance videos. ACM Multimedia 2012: 309-318 - [c54]Joseph Wang, Venkatesh Saligrama:
Local Supervised Learning through Space Partitioning. NIPS 2012: 91-99 - [c53]Cem Aksoylar, George K. Atia, Venkatesh Saligrama:
Sample complexity of salient feature identification for sparse signal processing. SSP 2012: 329-332 - [c52]Jing Qian, Venkatesh Saligrama:
New statistic in P-value estimation for anomaly detection. SSP 2012: 393-396 - [c51]Zachary Sun, W. Clem Karl, Prakash Ishwar, Venkatesh Saligrama:
Sensing aware dimensionality reduction for nearest neighbor classification of high dimensional signals. SSP 2012: 405-408 - [c50]Delaram Motamedvaziri, Venkatesh Saligrama, David A. Castañón:
A combined approach to multi-label multi-task learning. SSP 2012: 616-619 - [c49]Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón:
Two stage decision system. SSP 2012: 920-923 - [c48]Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón:
Multi-Stage Classifier Design. ACML 2012: 459-474 - [c47]Venkatesh Saligrama, Manqi Zhao:
Local Anomaly Detection. AISTATS 2012: 969-983 - [i18]Chun Lam Chan, Sidharth Jaggi, Venkatesh Saligrama, Samar Agnihotri:
Non-adaptive Group Testing: Explicit bounds and novel algorithms. CoRR abs/1202.0206 (2012) - [i17]Jing Qian, Venkatesh Saligrama, Manqi Zhao:
Graph-based Learning with Unbalanced Clusters. CoRR abs/1205.1496 (2012) - [i16]Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón:
Cost Sensitive Sequential Classification. CoRR abs/1205.4377 (2012) - 2011
- [j18]Venkatesh Saligrama, Murat Alanyali:
A Token-Based Approach for Distributed Computation in Sensor Networks. IEEE J. Sel. Top. Signal Process. 5(4): 817-832 (2011) - [j17]Yannick Benezeth, Pierre-Marc Jodoin, Venkatesh Saligrama:
Abnormality detection using low-level co-occurring events. Pattern Recognit. Lett. 32(3): 423-431 (2011) - [j16]Venkatesh Saligrama, Manqi Zhao:
Thresholded Basis Pursuit: LP Algorithm for Order-Wise Optimal Support Recovery for Sparse and Approximately Sparse Signals From Noisy Random Measurements. IEEE Trans. Inf. Theory 57(3): 1567-1586 (2011) - [j15]Shuchin Aeron, Sandip Bose, Henri-Pierre Valero, Venkatesh Saligrama:
Broadband Dispersion Extraction Using Simultaneous Sparse Penalization. IEEE Trans. Signal Process. 59(10): 4821-4837 (2011) - [c46]Joseph Wang, Venkatesh Saligrama, David A. Castañón:
Structural similarity and distance in learning. Allerton 2011: 744-751 - [c45]Burkay Orten, Prakash Ishwar, William Clement Karl, Venkatesh Saligrama:
Sensing structure in learning-based binary classification of high-dimensional data. Allerton 2011: 1521-1528 - [c44]Chun Lam Chan, Pak Hou Che, Sidharth Jaggi, Venkatesh Saligrama:
Non-adaptive probabilistic group testing with noisy measurements: Near-optimal bounds with efficient algorithms. Allerton 2011: 1832-1839 - [c43]Burkay Orten, Prakash Ishwar, W. Clem Karl, Venkatesh Saligrama, Homer H. Pien:
Sensing-aware classification with high-dimensional data. ICASSP 2011: 3700-3703 - [c42]Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón:
Active Boosted Learning (ActBoost). AISTATS 2011: 743-751 - [i15]Venkatesh Saligrama, Murat Alanyali:
A Token Based Algorithm to Distributed Computation in Sensor Networks. CoRR abs/1103.2289 (2011) - [i14]Chun Lam Chan, Pak Hou Che, Sidharth Jaggi, Venkatesh Saligrama:
Non-adaptive probabilistic group testing with noisy measurements: Near-optimal bounds with efficient algorithms. CoRR abs/1107.4540 (2011) - 2010
- [j14]Venkatesh Saligrama, Janusz Konrad, Pierre-Marc Jodoin:
Video Anomaly Identification. IEEE Signal Process. Mag. 27(5): 18-33 (2010) - [j13]Erhan Baki Ermis, Pierre Clarot, Pierre-Marc Jodoin, Venkatesh Saligrama:
Activity Based Matching in Distributed Camera Networks. IEEE Trans. Image Process. 19(10): 2595-2613 (2010) - [j12]Shuchin Aeron, Venkatesh Saligrama, Manqi Zhao:
Information theoretic bounds for compressed sensing. IEEE Trans. Inf. Theory 56(10): 5111-5130 (2010) - [j11]Erhan Baki Ermis, Venkatesh Saligrama:
Distributed detection in sensor networks with limited range multimodal sensors. IEEE Trans. Signal Process. 58(2): 843-858 (2010) - [c41]Joseph Wang, Venkatesh Saligrama, David A. Castañón:
Markov group testing. Allerton 2010: 160-166 - [c40]Delaram Motamedvaziri, Venkatesh Saligrama, David Castanon:
Decentralized compressive sensing. Allerton 2010: 607-614 - [c39]Manqi Zhao, Venkatesh Saligrama:
Noisy filtered sparse processes: Reconstruction and compression. CDC 2010: 2930-2935 - [c38]Peter B. Jones, Sanjoy K. Mitter, Venkatesh Saligrama:
Revision of marginal probability assessments. FUSION 2010: 1-8 - [c37]Rohit Kumar, David A. Castañón, Erhan Baki Ermis, Venkatesh Saligrama:
A new algorithm for outlier rejection in particle filters. FUSION 2010: 1-7 - [c36]Shuchin Aeron, Sandip Bose, Henri-Pierre Valero, Venkatesh Saligrama:
Sparsity penalized reconstruction framework for broadband dispersion extraction. ICASSP 2010: 2638-2641 - [c35]Manqi Zhao, Venkatesh Saligrama:
On compressed blind de-convolution of filtered sparse processes. ICASSP 2010: 4038-4041 - [c34]Mahdi Cheraghchi, Amin Karbasi, Soheil Mohajer, Venkatesh Saligrama:
Graph-constrained group testing. ISIT 2010: 1913-1917 - [c33]Peter B. Jones, Venkatesh Saligrama, Sanjoy K. Mitter:
Probabilistic Belief Revision with Structural Constraints. NIPS 2010: 1036-1044 - [i13]Mahdi Cheraghchi, Amin Karbasi, Soheil Mohajer, Venkatesh Saligrama:
Graph-Constrained Group Testing. CoRR abs/1001.1445 (2010)
2000 – 2009
- 2009
- [j10]Anant Sahai, Kristen Ann Woyach, George K. Atia, Venkatesh Saligrama:
A technical framework for light- handed regulation of cognitive radios. IEEE Commun. Mag. 47(3): 96-102 (2009) - [j9]J. Mike McHugh, Janusz Konrad, Venkatesh Saligrama, Pierre-Marc Jodoin:
Foreground-Adaptive Background Subtraction. IEEE Signal Process. Lett. 16(5): 390-393 (2009) - [c32]George K. Atia, Venkatesh Saligrama:
Noisy group testing: An information theoretic perspective. Allerton 2009: 355-362 - [c31]Manqi Zhao, Venkatesh Saligrama:
Outlier detection via localized p-value estimation. Allerton 2009: 1482-1489 - [c30]Yannick Benezeth, Pierre-Marc Jodoin, Venkatesh Saligrama, Christophe Rosenberger:
Abnormal events detection based on spatio-temporal co-occurences. CVPR 2009: 2458-2465 - [c29]Pierre Clarot, Erhan Baki Ermis, Pierre-Marc Jodoin, Venkatesh Saligrama:
Unsupervised camera network structure estimation based on activity. ICDSC 2009: 1-8 - [c28]Pierre-Marc Jodoin, Venkatesh Saligrama, Janusz Konrad:
Implicit Active-Contouring with MRF. ICIAR 2009: 178-190 - [c27]Manqi Zhao, Venkatesh Saligrama:
Anomaly Detection with Score functions based on Nearest Neighbor Graphs. NIPS 2009: 2250-2258 - [i12]George K. Atia, Venkatesh Saligrama:
Boolean Compressed Sensing and Noisy Group Testing. CoRR abs/0907.1061 (2009) - [i11]Venkatesh Saligrama, Manqi Zhao:
Compressed Blind De-convolution. CoRR abs/0910.0239 (2009) - [i10]Pierre-Marc Jodoin, Venkatesh Saligrama, Janusz Konrad:
Behavior Subtraction. CoRR abs/0910.2917 (2009) - [i9]Manqi Zhao, Venkatesh Saligrama:
Anomaly Detection with Score functions based on Nearest Neighbor Graphs. CoRR abs/0910.5461 (2009) - 2008
- [j8]Shuchin Aeron, Venkatesh Saligrama, David A. Castañón:
Efficient Sensor Management Policies for Distributed Target Tracking in Multihop Sensor Networks. IEEE Trans. Signal Process. 56(6): 2562-2574 (2008) - [j7]Ye Wang, Prakash Ishwar, Venkatesh Saligrama:
One-Bit Distributed Sensing and Coding for Field Estimation in Sensor Networks. IEEE Trans. Signal Process. 56(9): 4433-4445 (2008) - [c26]George K. Atia, Venkatesh Saligrama, Anant Sahai:
Codes to unmask spectrum violators in cognitive radio systems. ACSCC 2008: 1574-1578 - [c25]Kristen Ann Woyach, Anant Sahai, George K. Atia, Venkatesh Saligrama:
Crime and Punishment for Cognitive Radios. Allerton 2008: 236-243 - [c24]George K. Atia, Shuchin Aeron, Erhan Baki Ermis, Venkatesh Saligrama:
On Throughput Maximization and Interference Avoidance in Cognitive Radios. CCNC 2008: 963-967 - [c23]Erhan Baki Ermis, Venkatesh Saligrama, Pierre-Marc Jodoin, Janusz Konrad:
Abnormal behavior detection and behavior matching for networked cameras. ICDSC 2008: 1-10 - [c22]Pierre-Marc Jodoin, Janusz Konrad, Venkatesh Saligrama:
Modeling background activity for behavior subtraction. ICDSC 2008: 1-10 - [c21]Pierre-Marc Jodoin, Janusz Konrad, Venkatesh Saligrama, Vincent Veilleux-Gaboury:
Motion detection with an unstable camera. ICIP 2008: 229-232 - [c20]Erhan Baki Ermis, Venkatesh Saligrama, Pierre-Marc Jodoin, Janusz Konrad:
Motion segmentation and abnormal behavior detection via behavior clustering. ICIP 2008: 769-772 - [c19]J. Mike McHugh, Janusz Konrad, Venkatesh Saligrama, Pierre-Marc Jodoin, David A. Castañón:
Motion detection with false discovery rate control. ICIP 2008: 873-876 - [i8]Shuchin Aeron, Manqi Zhao, Venkatesh Saligrama:
Fundamental Limits on Sensing Capacity for Sensor Networks and Compressed Sensing. CoRR abs/0804.3439 (2008) - [i7]Venkatesh Saligrama:
Deterministic Designs with Deterministic Guarantees: Toeplitz Compressed Sensing Matrices, Sequence Designs and System Identification. CoRR abs/0806.4958 (2008) - [i6]Erhan Baki Ermis, Venkatesh Saligrama:
Distributed Detection in Sensor Networks with Limited Range Multi-Modal Sensors. CoRR abs/0809.1900 (2008) - [i5]Venkatesh Saligrama, Manqi Zhao:
Thresholded Basis Pursuit: Quantizing Linear Programming Solutions for Optimal Support Recovery and Approximation in Compressed Sensing. CoRR abs/0809.4883 (2008) - 2007
- [j6]Shuchin Aeron, Venkatesh Saligrama:
Wireless Ad Hoc Networks: Strategies and Scaling Laws for the Fixed SNR Regime. IEEE Trans. Inf. Theory 53(6): 2044-2059 (2007) - [j5]George K. Atia, Masoud Sharif, Venkatesh Saligrama:
On Optimal Outage in Relay Channels With General Fading Distributions. IEEE Trans. Inf. Theory 53(10): 3786-3797 (2007) - [j4]R. Rahman, Murat Alanyali, Venkatesh Saligrama:
Distributed Tracking in Multihop Sensor Networks With Communication Delays. IEEE Trans. Signal Process. 55(9): 4656-4668 (2007) - [c18]Erhan Baki Ermis, Venkatesh Saligrama:
Robust Distributed Detection with Limited Range Sensors. ICASSP (2) 2007: 1009-1012 - [i4]Shuchin Aeron, Manqi Zhao, Venkatesh Saligrama:
On sensing capacity of sensor networks for the class of linear observation, fixed SNR models. CoRR abs/0704.3434 (2007) - [i3]Erhan Baki Ermis, Venkatesh Saligrama:
Distributed Detection in Sensor Networks with Limited Range Sensors. CoRR abs/cs/0701178 (2007) - [i2]Ye Wang, Prakash Ishwar, Venkatesh Saligrama:
One-bit Distributed Sensing and Coding for Field Estimation in Sensor Networks. CoRR abs/cs/0701196 (2007) - 2006
- [j3]Erhan Baki Ermis, Murat Alanyali, Venkatesh Saligrama:
Search and discovery in an uncertain networked world. IEEE Signal Process. Mag. 23(4): 107-118 (2006) - [j2]Venkatesh Saligrama, Murat Alanyali, Onur Savas:
Distributed Detection in Sensor Networks With Packet Losses and Finite Capacity Links. IEEE Trans. Signal Process. 54(11): 4118-4132 (2006) - [c17]Shuchin Aeron, Venkatesh Saligrama, David A. Castañón:
Energy Efficient Policies for Distributed Target Tracking in Multihop Sensor Networks. CDC 2006: 380-385 - [c16]Venkatesh Saligrama, David A. Castañón:
Reliable Distributed Estimation with Intermittent Communications. CDC 2006: 6763-6768 - [c15]Onur Savas, Murat Alanyali, Venkatesh Saligrama:
Randomized Sequential Algorithms for Data Aggregation in Sensor Networks. CISS 2006: 165-170 - [c14]Erhan Baki Ermis, Venkatesh Saligrama:
Detection and Localization in Sensor Networks Using Distributed FDR. CISS 2006: 699-704 - [c13]Shuchin Aeron, Venkatesh Saligrama, David Castanon:
Distributed Target tracking and localization in multi-hop networks. CISS 2006: 990-995 - [c12]Onur Savas, Murat Alanyali, Venkatesh Saligrama:
Efficient In-Network Processing Through Local Ad-Hoc Information Coalescence. DCOSS 2006: 252-265 - [c11]George K. Atia, Masoud Sharif, Venkatesh Saligrama:
Effect of Geometry on the Diversity-Multiplexing Tradeoff in Relay Channels. GLOBECOM 2006 - [c10]Venkatesh Saligrama, David A. Castañón:
Reliable Tracking With Intermittent Communications. ICASSP (5) 2006: 1141-1144 - [c9]Venkatesh Saligrama, David Starobinski:
On the macroscopic effects of local interactions in multi-hop wireless networks. WiOpt 2006: 161-168 - [i1]Shuchin Aeron, Venkatesh Saligrama:
Wireless ad-hoc networks: Strategies and Scaling laws for the fixed SNR regime. CoRR abs/cs/0608089 (2006) - 2005
- [c8]Erhan Baki Ermis, Venkatesh Saligrama:
Adaptive statistical sampling methods for decentralized estimation and detection of localized phenomena. ICASSP (5) 2005: 1045-1048 - [c7]Erhan Baki Ermis, Venkatesh Saligrama:
Adaptive statistical sampling methods for decentralized estimation and detection of localized phenomena. IPSN 2005: 143-150 - 2004
- [j1]Venkatesh Saligrama:
Necessary and sufficient conditions for robust identification of uncertain LTI systems. Syst. Control. Lett. 53(2): 117-125 (2004) - [c6]Murat Alanyali, Venkatesh Saligrama, Onur Savas, Shuchin Aeron:
Distributed Bayesian hypothesis testing in sensor networks. ACC 2004: 5369-5374 - [c5]Venkatesh Saligrama, Yonggang Shi, William Clement Karl:
Performance guarantees in sensor networks. ICASSP (2) 2004: 269-272 - [c4]Venkatesh Saligrama, Murat Alanyali, Onur Savas, Shuchin Aeron:
Classification in sensor networks. ISIT 2004: 251 - [c3]Shuchin Aeron, Venkatesh Saligrama:
Capacity scaling in wireless ad-hoc networks with Pe. ISIT 2004: 469 - 2003
- [c2]Venkatesh Saligrama:
Identification of uncertain systems described by linear fractional transformations. CDC 2003: 5532-5537 - 2001
- [c1]Sommer Gentry, Venkatesh Saligrama, Eric Feron:
Dynamic inverse optimization. ACC 2001: 4722-4727
Coauthor Index
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