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2020 – today
- 2024
[j31]Mark Beliaev
, Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Efficient and Robust Classification for Sparse Attacks. IEEE J. Sel. Areas Inf. Theory 5: 261-272 (2024)- [j30]Bhagyashree Puranik, Ozgur Guldogan, Upamanyu Madhow, Ramtin Pedarsani:
Long-Term Fairness in Sequential Multi-Agent Selection With Positive Reinforcement. IEEE J. Sel. Areas Inf. Theory 5: 424-441 (2024) - [j29]Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Binary Classification Under ℓ0 Attacks for General Noise Distribution. IEEE Trans. Inf. Theory 70(2): 1284-1299 (2024) - [j28]Justin Singh Kang, Ramtin Pedarsani, Kannan Ramchandran:
The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning. Trans. Mach. Learn. Res. 2024 (2024) - [c68]Sajjad Ghiasvand, Amirhossein Reisizadeh, Mahnoosh Alizadeh, Ramtin Pedarsani:
Communication-efficient and Decentralized Federated Minimax Optimization. Allerton 2024: 1-7 - [i68]Mark Beliaev, Ramtin Pedarsani:
Inverse Reinforcement Learning by Estimating Expertise of Demonstrators. CoRR abs/2402.01886 (2024) - [i67]Justin Singh Kang, Yigit Efe Erginbas, Landon Butler, Ramtin Pedarsani, Kannan Ramchandran:
Learning to Understand: Identifying Interactions via the Mobius Transform. CoRR abs/2402.02631 (2024) - [i66]Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Generalization Properties of Adversarial Training for 𝓁0-Bounded Adversarial Attacks. CoRR abs/2402.03576 (2024) - [i65]Sajjad Ghiasvand, Amirhossein Reisizadeh, Mahnoosh Alizadeh, Ramtin Pedarsani:
Robust Decentralized Learning with Local Updates and Gradient Tracking. CoRR abs/2405.00965 (2024) - [i64]Bhagyashree Puranik, Ozgur Guldogan, Upamanyu Madhow, Ramtin Pedarsani:
Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement. CoRR abs/2407.07350 (2024) - [i63]Sajjad Ghiasvand, Yifan Yang, Zhiyu Xue, Mahnoosh Alizadeh, Zheng Zhang, Ramtin Pedarsani:
Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models. CoRR abs/2410.13097 (2024) - [i62]Zhiyu Xue, Haohan Wang, Yao Qin, Ramtin Pedarsani:
Conflict-Aware Adversarial Training. CoRR abs/2410.16579 (2024) - 2023
- [j27]Mohammad Fereydounian, Aryan Mokhtari, Ramtin Pedarsani, Hamed Hassani:
Provably Private Distributed Averaging Consensus: An Information-Theoretic Approach. IEEE Trans. Inf. Theory 69(11): 7317-7335 (2023) - [j26]Isidoros Tziotis, Zebang Shen, Ramtin Pedarsani, Hamed Hassani, Aryan Mokhtari:
Straggler-Resilient Personalized Federated Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c67]Ozgur Guldogan, Yuchen Zeng, Jy-yong Sohn, Ramtin Pedarsani, Kangwook Lee:
Equal Improvability: A New Fairness Notion Considering the Long-term Impact. ICLR 2023 - [c66]Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Generalization Properties of Adversarial Training for -ℓ0 Bounded Adversarial Attacks. ITW 2023: 113-118 - [i61]Justin Singh Kang, Ramtin Pedarsani, Kannan Ramchandran:
The Fair Value of Data Under Heterogeneous Privacy Constraints. CoRR abs/2301.13336 (2023) - [i60]Mark Beliaev, Negar Mehr, Ramtin Pedarsani:
Pricing for Multi-modal Pickup and Delivery Problems with Heterogeneous Users. CoRR abs/2303.10253 (2023) - 2022
- [j25]Farzan Farnia, Amirhossein Reisizadeh, Ramtin Pedarsani, Ali Jadbabaie:
An Optimal Transport Approach to Personalized Federated Learning. IEEE J. Sel. Areas Inf. Theory 3(2): 162-171 (2022) - [j24]Amirhossein Reisizadeh, Isidoros Tziotis, Hamed Hassani, Aryan Mokhtari, Ramtin Pedarsani:
Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity. IEEE J. Sel. Areas Inf. Theory 3(2): 197-205 (2022) - [j23]Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Robust Classification Under $\ell_0$ Attack for the Gaussian Mixture Model. SIAM J. Math. Data Sci. 4(1): 362-385 (2022) - [j22]Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah:
Social Coordination and Altruism in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 23(12): 24791-24804 (2022) - [j21]Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr:
CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning. IEEE/ACM Trans. Netw. 30(1): 148-161 (2022) - [j20]Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani:
Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis Testing. IEEE Trans. Signal Process. 70: 4124-4139 (2022) - [c65]Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani:
A Dynamic Decision-Making Framework Promoting Long-Term Fairness. AIES 2022: 547-556 - [c64]Daniel A. Lazar, Ramtin Pedarsani:
Anonymous Tolling for Traffic Networks with Mixed Autonomy. ECC 2022: 391-398 - [c63]Mark Beliaev, Negar Mehr, Ramtin Pedarsani:
Congestion-aware Bi-modal Delivery Systems Utilizing Drones. ECC 2022: 1944-1951 - [c62]Amirhossein Reisizadeh, Isidoros Tziotis, Hamed Hassani, Aryan Mokhtari, Ramtin Pedarsani:
Adaptive Node Participation for Straggler-Resilient Federated Learning. ICASSP 2022: 8762-8766 - [c61]Mark Beliaev, Andy Shih, Stefano Ermon, Dorsa Sadigh, Ramtin Pedarsani:
Imitation Learning by Estimating Expertise of Demonstrators. ICML 2022: 1732-1748 - [c60]Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Asymptotic Behavior of Adversarial Training in Binary Linear Classification. ISIT 2022: 127-132 - [c59]Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Binary Classification Under ℓ0 Attacks for General Noise Distribution. ISIT 2022: 1731-1736 - [c58]Mark Beliaev, Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Efficient and Robust Classification for Sparse Attacks. ISIT 2022: 3150-3155 - [i59]Mark Beliaev, Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Efficient and Robust Classification for Sparse Attacks. CoRR abs/2201.09369 (2022) - [i58]Rodolfo Valiente, Behrad Toghi, Ramtin Pedarsani, Yaser P. Fallah:
Robustness and Adaptability of Reinforcement Learning based Cooperative Autonomous Driving in Mixed-autonomy Traffic. CoRR abs/2202.00881 (2022) - [i57]Mark Beliaev, Andy Shih, Stefano Ermon, Dorsa Sadigh, Ramtin Pedarsani:
Imitation Learning by Estimating Expertise of Demonstrators. CoRR abs/2202.01288 (2022) - [i56]Mohammad Fereydounian, Aryan Mokhtari, Ramtin Pedarsani, Hamed Hassani:
Provably Private Distributed Averaging Consensus: An Information-Theoretic Approach. CoRR abs/2202.09398 (2022) - [i55]Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Binary Classification Under 𝓁0 Attacks for General Noise Distribution. CoRR abs/2203.04855 (2022) - [i54]Isidoros Tziotis, Zebang Shen, Ramtin Pedarsani, Hamed Hassani, Aryan Mokhtari:
Straggler-Resilient Personalized Federated Learning. CoRR abs/2206.02078 (2022) - [i53]Farzan Farnia, Amirhossein Reisizadeh, Ramtin Pedarsani, Ali Jadbabaie:
An Optimal Transport Approach to Personalized Federated Learning. CoRR abs/2206.02468 (2022) - [i52]Ozgur Guldogan, Yuchen Zeng, Jy-yong Sohn, Ramtin Pedarsani, Kangwook Lee:
Equal Improvability: A New Fairness Notion Considering the Long-term Impact. CoRR abs/2210.06732 (2022) - [i51]Rodolfo Valiente, Behrad Toghi, Mahdi Razzaghpour, Ramtin Pedarsani, Yaser P. Fallah:
Learning-based social coordination to improve safety and robustness of cooperative autonomous vehicles in mixed traffic. CoRR abs/2211.11963 (2022) - 2021
- [j19]Daniel A. Lazar, Ramtin Pedarsani:
Optimal Tolling for Multitype Mixed Autonomous Traffic Networks. IEEE Control. Syst. Lett. 5(5): 1849-1854 (2021) - [j18]Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Sharp Guarantees and Optimal Performance for Inference in Binary and Gaussian-Mixture Models. Entropy 23(2): 178 (2021) - [j17]Daniel A. Lazar, Samuel Coogan, Ramtin Pedarsani:
Routing for Traffic Networks With Mixed Autonomy. IEEE Trans. Autom. Control. 66(6): 2664-2676 (2021) - [j16]Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh:
Incentivizing Efficient Equilibria in Traffic Networks With Mixed Autonomy. IEEE Trans. Control. Netw. Syst. 8(4): 1717-1729 (2021) - [j15]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Edge Computing in the Dark: Leveraging Contextual-Combinatorial Bandit and Coded Computing. IEEE/ACM Trans. Netw. 29(3): 1022-1031 (2021) - [c57]Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions. AISTATS 2021: 2773-2781 - [c56]Daniel A. Lazar, Ramtin Pedarsani:
Optimal Tolling for Multitype Mixed Autonomous Traffic Networks. ACC 2021: 4541-4546 - [c55]Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani:
Adversarially Robust Classification Based on GLRT. ICASSP 2021: 3785-3789 - [c54]Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Woodrow Z. Wang, Dorsa Sadigh, Ramtin Pedarsani:
Incentivizing routing choices for safe and efficient transportation in the face of the COVID-19 pandemic. ICCPS 2021: 187-197 - [c53]Woodrow Z. Wang, Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh:
Emergent Prosociality in Multi-Agent Games Through Gifting. IJCAI 2021: 434-442 - [c52]Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah:
Cooperative Autonomous Vehicles that Sympathize with Human Drivers. IROS 2021: 4517-4524 - [i50]Daniel A. Lazar, Ramtin Pedarsani:
Anonymous Tolling for Traffic Networks with Mixed Autonomy. CoRR abs/2103.13553 (2021) - [i49]Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Robust Classification Under 𝓁0 Attack for the Gaussian Mixture Model. CoRR abs/2104.02189 (2021) - [i48]Woodrow Z. Wang, Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh:
Emergent Prosociality in Multi-Agent Games Through Gifting. CoRR abs/2105.06593 (2021) - [i47]Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh:
Incentivizing Efficient Equilibria in Traffic Networks with Mixed Autonomy. CoRR abs/2106.04678 (2021) - [i46]Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah:
Social Coordination and Altruism in Autonomous Driving. CoRR abs/2107.00200 (2021) - [i45]Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah:
Cooperative Autonomous Vehicles that Sympathize with Human Drivers. CoRR abs/2107.00898 (2021) - [i44]Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah:
Altruistic Maneuver Planning for Cooperative Autonomous Vehicles Using Multi-agent Advantage Actor-Critic. CoRR abs/2107.05664 (2021) - [i43]Behrad Toghi, Rodolfo Valiente, Ramtin Pedarsani, Yaser P. Fallah:
Towards Learning Generalizable Driving Policies from Restricted Latent Representations. CoRR abs/2111.03688 (2021) - [i42]Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani:
Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis Testing. CoRR abs/2112.02209 (2021) - 2020
- [j14]Qinshuang Wei, Ramtin Pedarsani, Samuel Coogan:
Mixed Autonomy in Ride-Sharing Networks. IEEE Trans. Control. Netw. Syst. 7(4): 1940-1950 (2020) - [j13]Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr:
Coded Computing for Distributed Graph Analytics. IEEE Trans. Inf. Theory 66(10): 6534-6554 (2020) - [c51]Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ali Jadbabaie, Ramtin Pedarsani:
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization. AISTATS 2020: 2021-2031 - [c50]Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Sharp Asymptotics and Optimal Performance for Inference in Binary Models. AISTATS 2020: 3739-3749 - [c49]Can Bakiskan, Soorya Gopalakrishnan, Metehan Cekic, Upamanyu Madhow, Ramtin Pedarsani:
Polarizing Front Ends for Robust Cnns. ICASSP 2020: 4257-4261 - [c48]Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani:
Quantized Decentralized Stochastic Learning over Directed Graphs. ICML 2020: 9324-9333 - [c47]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Coded Computing in Unknown Environment via Online Learning. ISIT 2020: 185-190 - [c46]Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Optimality of Least-squares for Classification in Gaussian-Mixture Models. ISIT 2020: 2515-2520 - [c45]Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr:
Hierarchical Coded Gradient Aggregation for Learning at the Edge. ISIT 2020: 2616-2621 - [c44]Amirhossein Reisizadeh, Farzan Farnia, Ramtin Pedarsani, Ali Jadbabaie:
Robust Federated Learning: The Case of Affine Distribution Shifts. NeurIPS 2020 - [i41]Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Sharp Asymptotics and Optimal Performance for Inference in Binary Models. CoRR abs/2002.07284 (2020) - [i40]Can Bakiskan, Soorya Gopalakrishnan, Metehan Cekic, Upamanyu Madhow, Ramtin Pedarsani:
Polarizing Front Ends for Robust CNNs. CoRR abs/2002.09580 (2020) - [i39]Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani:
Quantized Push-sum for Gossip and Decentralized Optimization over Directed Graphs. CoRR abs/2002.09964 (2020) - [i38]Amirhossein Reisizadeh, Farzan Farnia, Ramtin Pedarsani, Ali Jadbabaie:
Robust Federated Learning: The Case of Affine Distribution Shifts. CoRR abs/2006.08907 (2020) - [i37]Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions. CoRR abs/2006.08917 (2020) - [i36]Daniel A. Lazar, Ramtin Pedarsani:
Optimal Tolling for Multitype Mixed Autonomous Traffic Networks. CoRR abs/2009.00198 (2020) - [i35]Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Asymptotic Behavior of Adversarial Training in Binary Classification. CoRR abs/2010.13275 (2020) - [i34]Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani:
Adversarially Robust Classification based on GLRT. CoRR abs/2011.07835 (2020) - [i33]Amirhossein Reisizadeh, Isidoros Tziotis, Hamed Hassani, Aryan Mokhtari, Ramtin Pedarsani:
Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity. CoRR abs/2012.14453 (2020) - [i32]Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Woodrow Z. Wang, Dorsa Sadigh, Ramtin Pedarsani:
Incentivizing Routing Choices for Safe and Efficient Transportation in the Face of the COVID-19 Pandemic. CoRR abs/2012.15749 (2020)
2010 – 2019
- 2019
- [j12]Dong Yin, Ramtin Pedarsani, Yudong Chen, Kannan Ramchandran:
Learning Mixtures of Sparse Linear Regressions Using Sparse Graph Codes. IEEE Trans. Inf. Theory 65(3): 1430-1451 (2019) - [j11]Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr:
Coded Computation Over Heterogeneous Clusters. IEEE Trans. Inf. Theory 65(7): 4227-4242 (2019) - [j10]Xiao Li, Dong Yin, Sameer Pawar, Ramtin Pedarsani, Kannan Ramchandran:
Sub-Linear Time Support Recovery for Compressed Sensing Using Sparse-Graph Codes. IEEE Trans. Inf. Theory 65(10): 6580-6619 (2019) - [j9]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Communication-Aware Scheduling of Serial Tasks for Dispersed Computing. IEEE/ACM Trans. Netw. 27(4): 1330-1343 (2019) - [j8]Kangwook Lee, Kabir Chandrasekher, Ramtin Pedarsani, Kannan Ramchandran:
SAFFRON: A Fast, Efficient, and Robust Framework for Group Testing Based on Sparse-Graph Codes. IEEE Trans. Signal Process. 67(17): 4649-4664 (2019) - [j7]Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani:
An Exact Quantized Decentralized Gradient Descent Algorithm. IEEE Trans. Signal Process. 67(19): 4934-4947 (2019) - [c43]Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Sharp Guarantees for Solving Random Equations with One-Bit Information. Allerton 2019: 765-772 - [c42]Qinshuang Wei, Jorge Alberto Rodriguez, Ramtin Pedarsani, Samuel Coogan:
Ride-Sharing Networks with Mixed Autonomy. ACC 2019: 3303-3308 - [c41]Erdem Biyik, Daniel A. Lazar, Dorsa Sadigh, Ramtin Pedarsani:
The Green Choice: Learning and Influencing Human Decisions on Shared Roads. CDC 2019: 347-354 - [c40]Daniel A. Lazar, Samuel Coogan, Ramtin Pedarsani:
Optimal Tolling for Heterogeneous Traffic Networks with Mixed Autonomy. CDC 2019: 4103-4108 - [c39]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Timely Coded Computing. ISIT 2019: 2798-2802 - [c38]Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr:
Tree Gradient Coding. ISIT 2019: 2808-2812 - [c37]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Timely-Throughput Optimal Coded Computing over Cloud Networks. MobiHoc 2019: 301-310 - [c36]Amirhossein Reisizadeh, Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani:
Robust and Communication-Efficient Collaborative Learning. NeurIPS 2019: 8386-8397 - [i31]Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr:
CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning. CoRR abs/1902.01981 (2019) - [i30]Erdem Biyik, Daniel A. Lazar, Dorsa Sadigh, Ramtin Pedarsani:
The Green Choice: Learning and Influencing Human Decisions on Shared Roads. CoRR abs/1904.02209 (2019) - [i29]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Timely-Throughput Optimal Coded Computing over Cloud Networks. CoRR abs/1904.05522 (2019) - [i28]Amirhossein Reisizadeh, Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani:
Robust and Communication-Efficient Collaborative Learning. CoRR abs/1907.10595 (2019) - [i27]Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Sharp Guarantees for Solving Random Equations with One-Bit Information. CoRR abs/1908.04433 (2019) - [i26]Qinshuang Wei, Ramtin Pedarsani, Samuel Coogan:
Mixed Autonomy in Ride-Sharing Network. CoRR abs/1908.11711 (2019) - [i25]Daniel A. Lazar, Erdem Biyik, Dorsa Sadigh, Ramtin Pedarsani:
Learning How to Dynamically Route Autonomous Vehicles on Shared Roads. CoRR abs/1909.03664 (2019) - [i24]Berkay Turan, Ramtin Pedarsani, Mahnoosh Alizadeh:
Dynamic Pricing and Management for Electric Autonomous Mobility on Demand Systems Using Reinforcement Learning. CoRR abs/1909.06962 (2019) - [i23]Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ali Jadbabaie, Ramtin Pedarsani:
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization. CoRR abs/1909.13014 (2019) - [i22]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Edge Computing in the Dark: Leveraging Contextual-Combinatorial Bandit and Coded Computing. CoRR abs/1912.09512 (2019) - 2018
- [j6]Kangwook Lee, Maximilian Lam, Ramtin Pedarsani, Dimitris S. Papailiopoulos, Kannan Ramchandran:
Speeding Up Distributed Machine Learning Using Codes. IEEE Trans. Inf. Theory 64(3): 1514-1529 (2018) - [c35]Daniel A. Lazar, Samuel Coogan, Ramtin Pedarsani:
The Price of Anarchy for Transportation Networks with Mixed Autonomy. ACC 2018: 6359-6365 - [c34]Daniel A. Lazar, Ramtin Pedarsani, Kabir Chandrasekher, Dorsa Sadigh:
Maximizing Road Capacity Using Cars that Influence People. CDC 2018: 1801-1808 - [c33]Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani:
Quantized Decentralized Consensus Optimization. CDC 2018: 5838-5843 - [c32]Soorya Gopalakrishnan, Zhinus Marzi, Upamanyu Madhow, Ramtin Pedarsani:
Combating Adversarial Attacks Using Sparse Representations. ICLR (Workshop) 2018 - [c31]Zhinus Marzi, Soorya Gopalakrishnan, Upamanyu Madhow, Ramtin Pedarsani:
Sparsity-based Defense Against Adversarial Attacks on Linear Classifiers. ISIT 2018: 31-35 - [c30]Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr:
Coded Computing for Distributed Graph Analytics. ISIT 2018: 1221-1225 - [c29]Chien-Sheng Yang, Amir Salman Avestimehr, Ramtin Pedarsani:
Communication-Aware Scheduling of Serial Tasks for Dispersed Computing. ISIT 2018: 1226-1230 - [c28]Negar Mehr, Jennie Lioris, Roberto Horowitz, Ramtin Pedarsani:
Signal Control for Urban Traffic Networks with Unknown System Parameters. ITSC 2018: 2171-2176 - [c27]Amirhossein Reisizadeh, Pedro Abdalla, Ramtin Pedarsani:
Sub-linear Time Stochastic Threshold Group Testing via Sparse-Graph Codes. ITW 2018: 1-5 - [c26]Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh:
Altruistic Autonomy: Beating Congestion on Shared Roads. WAFR 2018: 887-904 - [i21]Zhinus Marzi, Soorya Gopalakrishnan, Upamanyu Madhow, Ramtin Pedarsani:
Sparsity-based Defense against Adversarial Attacks on Linear Classifiers. CoRR abs/1801.04695 (2018) - [i20]Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Salman Avestimehr:
Coded Computing for Distributed Graph Analytics. CoRR abs/1801.05522 (2018) - [i19]Soorya Gopalakrishnan, Zhinus Marzi, Upamanyu Madhow, Ramtin Pedarsani:
Combating Adversarial Attacks Using Sparse Representations. CoRR abs/1803.03880 (2018) - [i18]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Communication-Aware Scheduling of Serial Tasks for Dispersed Computing. CoRR abs/1804.06468 (2018) - [i17]Amirhossein Reisizadeh, Aryan Mokhtari, S. Hamed Hassani, Ramtin Pedarsani:
Quantized Decentralized Consensus Optimization. CoRR abs/1806.11536 (2018) - [i16]Daniel A. Lazar, Kabir Chandrasekher, Ramtin Pedarsani, Dorsa Sadigh:
Maximizing Road Capacity Using Cars that Influence People. CoRR abs/1807.04414 (2018) - [i15]Daniel A. Lazar, Samuel Coogan, Ramtin Pedarsani:
Routing for Traffic Networks with Mixed Autonomy. CoRR abs/1809.01283 (2018) - [i14]Soorya Gopalakrishnan, Zhinus Marzi, Upamanyu Madhow, Ramtin Pedarsani:
Toward Robust Neural Networks via Sparsification. CoRR abs/1810.10625 (2018) - [i13]Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh:
Altruistic Autonomy: Beating Congestion on Shared Roads. CoRR abs/1810.11978 (2018) - 2017
- [j5]Ramtin Pedarsani, Dong Yin, Kangwook Lee, Kannan Ramchandran:
PhaseCode: Fast and Efficient Compressive Phase Retrieval Based on Sparse-Graph Codes. IEEE Trans. Inf. Theory 63(6): 3663-3691 (2017) - [j4]Kangwook Lee, Ramtin Pedarsani, Kannan Ramchandran:
On Scheduling Redundant Requests With Cancellation Overheads. IEEE/ACM Trans. Netw. 25(2): 1279-1290 (2017) - [c25]Pedro Abdalla, Amirhossein Reisizadeh, Ramtin Pedarsani:
Multilevel group testing via sparse-graph codes. ACSSC 2017: 895-899 - [c24]Dong Yin, Ramtin Pedarsani, Yudong Chen, Kannan Ramchandran:
Learning mixtures of sparse linear regressions using sparse graph codes. Allerton 2017: 588-595 - [c23]Amirhossein Reisizadeh, Ramtin Pedarsani:
Latency analysis of coded computation schemes over wireless networks. Allerton 2017: 1256-1263 - [c22]Negar Mehr, Roberto Horowitz, Ramtin Pedarsani:
Low-complexity ramp metering for freeway congestion control via network utility maximization. CDC 2017: 5672-5677 - [c21]Daniel A. Lazar, Samuel Coogan, Ramtin Pedarsani:
Capacity modeling and routing for traffic networks with mixed autonomy. CDC 2017: 5678-5683 - [c20]Kabir Chandrasekher, Kangwook Lee, Peter Kairouz, Ramtin Pedarsani, Kannan Ramchandran:
Asynchronous and noncoherent neighbor discovery for the IoT using sparse-graph codes. ICC 2017: 1-6 - [c19]Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Salman Avestimehr:
Coded computation over heterogeneous clusters. ISIT 2017: 2408-2412 - [c18]Kangwook Lee, Ramtin Pedarsani, Dimitris S. Papailiopoulos, Kannan Ramchandran:
Coded computation for multicore setups. ISIT 2017: 2413-2417 - [c17]Negar Mehr, Jennie Lioris, Roberto Horowitz, Ramtin Pedarsani:
Joint perimeter and signal control of urban traffic via network utility maximization. ITSC 2017: 1-6 - [i12]Amirhossein Reisizadehmobarakeh, Saurav Prakash, Ramtin Pedarsani, Salman Avestimehr:
Coded Computation over Heterogeneous Clusters. CoRR abs/1701.05973 (2017) - [i11]Dong Yin, Ramtin Pedarsani, Yudong Chen, Kannan Ramchandran:
Learning Mixtures of Sparse Linear Regressions Using Sparse Graph Codes. CoRR abs/1703.00641 (2017) - [i10]Amirhossein Reisizadeh, Ramtin Pedarsani:
Latency Analysis of Coded Computation Schemes over Wireless Networks. CoRR abs/1707.00040 (2017) - 2016
- [j3]Ramtin Pedarsani, Jean C. Walrand:
Stability of multiclass queueing networks under longest-queue and longest-dominating-queue scheduling. J. Appl. Probab. 53(2): 421-433 (2016) - [j2]Ramtin Pedarsani, Mohammad Ali Maddah-Ali, Urs Niesen:
Online Coded Caching. IEEE/ACM Trans. Netw. 24(2): 836-845 (2016) - [c16]Dong Yin, Ramtin Pedarsani, Xiao Li, Kannan Ramchandran:
Compressed sensing using sparse-graph codes for the continuous-alphabet setting. Allerton 2016: 758-765 - [c15]Kangwook Lee, Maximilian Lam, Ramtin Pedarsani, Dimitris S. Papailiopoulos, Kannan Ramchandran:
Speeding up distributed machine learning using codes. ISIT 2016: 1143-1147 - [c14]Kangwook Lee, Ramtin Pedarsani, Kannan Ramchandran:
SAFFRON: A fast, efficient, and robust framework for group testing based on sparse-graph codes. ISIT 2016: 2873-2877 - [c13]Zahra Amini, Ramtin Pedarsani, Alexander Skabardonis, Pravin Varaiya:
Queue-length estimation using real-time traffic data. ITSC 2016: 1476-1481 - [i9]Dong Yin, Kangwook Lee, Ramtin Pedarsani, Kannan Ramchandran:
Fast and Robust Compressive Phase Retrieval with Sparse-Graph Codes. CoRR abs/1606.00531 (2016) - [i8]Ramtin Pedarsani, Jean C. Walrand, Yuan Zhong:
Robust Scheduling for Flexible Processing Networks. CoRR abs/1610.03803 (2016) - 2015
- [b1]Ramtin Pedarsani:
Robust Scheduling for Queueing Networks. University of California, Berkeley, USA, 2015 - [j1]Ramtin Pedarsani, Olivier Lévêque, Sheng Yang:
On the DMT Optimality of Time-Varying Distributed Rotation Over Slow Fading Relay Channels. IEEE Trans. Wirel. Commun. 14(1): 421-434 (2015) - [c12]Kangwook Lee, Ramtin Pedarsani, Kannan Ramchandran:
On scheduling redundant requests with cancellation overheads. Allerton 2015: 99-106 - [c11]Ramtin Pedarsani, Kangwook Lee, Kannan Ramchandran:
Sparse covariance estimation based on sparse-graph codes. Allerton 2015: 612-619 - [c10]Ramtin Pedarsani, Kangwook Lee, Kannan Ramchandran:
Capacity-approaching PhaseCode for low-complexity compressive phase retrieval. ISIT 2015: 989-993 - [c9]Dong Yin, Kangwook Lee, Ramtin Pedarsani, Kannan Ramchandran:
Fast and robust compressive phase retrieval with sparse-graph codes. ISIT 2015: 2583-2587 - [i7]Kangwook Lee, Ramtin Pedarsani, Kannan Ramchandran:
SAFFRON: A Fast, Efficient, and Robust Framework for Group Testing based on Sparse-Graph Codes. CoRR abs/1508.04485 (2015) - [i6]Kangwook Lee, Maximilian Lam, Ramtin Pedarsani, Dimitris S. Papailiopoulos, Kannan Ramchandran:
Speeding Up Distributed Machine Learning Using Codes. CoRR abs/1512.02673 (2015) - 2014
- [c8]Ramtin Pedarsani, Kangwook Lee, Kannan Ramchandran:
PhaseCode: Fast and efficient compressive phase retrieval based on sparse-graph codes. Allerton 2014: 842-849 - [c7]Ramtin Pedarsani, Jean C. Walrand, Yuan Zhong:
Scheduling tasks with precedence constraints on multiple servers. Allerton 2014: 1196-1203 - [c6]Ramtin Pedarsani, Jean C. Walrand, Yuan Zhong:
Robust scheduling in a flexible fork-join network. CDC 2014: 3669-3676 - [c5]Ramtin Pedarsani, Mohammad Ali Maddah-Ali, Urs Niesen:
Online coded caching. ICC 2014: 1878-1883 - [c4]Ramtin Pedarsani, Jean C. Walrand, Yuan Zhong:
Robust scheduling and congestion control for flexible queueing networks. ICNC 2014: 467-471 - [i5]Ramtin Pedarsani, Kangwook Lee, Kannan Ramchandran:
PhaseCode: Fast and Efficient Compressive Phase Retrieval based on Sparse-Graph-Codes. CoRR abs/1408.0034 (2014) - [i4]Ramtin Pedarsani, Kangwook Lee, Kannan Ramchandran:
Capacity-Approaching PhaseCode for Low-Complexity Compressive Phase Retrieval. CoRR abs/1412.5694 (2014) - 2013
- [i3]Ramtin Pedarsani, Mohammad Ali Maddah-Ali, Urs Niesen:
Online Coded Caching. CoRR abs/1311.3646 (2013) - 2012
- [i2]Ramtin Pedarsani, Seyed Hamed Hassani, Ido Tal, Emre Telatar:
On the Construction of Polar Codes. CoRR abs/1209.4444 (2012) - [i1]Ramtin Pedarsani, Jean C. Walrand:
Stability of Lu-Kumar Networks under Longest-Queue and Longest-Dominating-Queue Scheduling. CoRR abs/1212.6582 (2012) - 2011
- [c3]Ramtin Pedarsani, Seyed Hamed Hassani, Ido Tal, Emre Telatar:
On the construction of polar codes. ISIT 2011: 11-15 - 2010
- [c2]Ramtin Pedarsani, Olivier Lévêque, Sheng Yang:
On the DMT optimality of the rotate-and-forward scheme in a two-hop MIMO relay channel. Allerton 2010: 78-85 - [c1]Ramtin Pedarsani, Olivier Lévêque, Sheng Yang:
Flip-and-forward achieves the optimal diversity-multiplexing tradeoff for the two-hop MIMO relay channel, with two relay antennas. CrownCom 2010: 1-5
Coauthor Index
Amir Salman Avestimehr
aka: Salman Avestimehr
aka: Salman Avestimehr
Amirhossein Reisizadeh
aka: Amirhossein Reisizadehmobarakeh
aka: Amirhossein Reisizadehmobarakeh
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