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ORCIDSubha Maity
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2020 – today
- 2024
[c10]Lilian Ngweta, Mayank Agarwal, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin:
Aligners: Decoupling LLMs and Alignment. EMNLP (Findings) 2024: 13785-13802- [c9]Subha Maity, Mayank Agarwal, Mikhail Yurochkin, Yuekai Sun:
An Investigation of Representation and Allocation Harms in Contrastive Learning. ICLR 2024 - [c8]Lilian Ngweta, Mayank Agarwal, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin:
Aligners: Decoupling LLMs and Alignment. Tiny Papers @ ICLR 2024 - [i12]Lilian Ngweta, Mayank Agarwal, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin:
Aligners: Decoupling LLMs and Alignment. CoRR abs/2403.04224 (2024) - [i11]Daniele Bracale, Subha Maity, Moulinath Banerjee, Yuekai Sun:
Learning the Distribution Map in Reverse Causal Performative Prediction. CoRR abs/2405.15172 (2024) - 2023
- [c7]Soham Bakshi, Subha Maity:
Bayes classifier cannot be learned from noisy responses with unknown noise rates. Tiny Papers @ ICLR 2023 - [c6]Subha Maity, Debarghya Mukherjee, Moulinath Banerjee, Yuekai Sun:
Predictor-corrector algorithms for stochastic optimization under gradual distribution shift. ICLR 2023 - [c5]Subha Maity, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun:
Understanding new tasks through the lens of training data via exponential tilting. ICLR 2023 - [c4]Lilian Ngweta, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin:
Simple Disentanglement of Style and Content in Visual Representations. ICML 2023: 26063-26086 - [i10]Lilian Ngweta, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin:
Simple Disentanglement of Style and Content in Visual Representations. CoRR abs/2302.09795 (2023) - [i9]Soham Bakshi, Subha Maity:
Bayes classifier cannot be learned from noisy responses with unknown noise rates. CoRR abs/2304.06574 (2023) - [i8]Subha Maity, Mayank Agarwal, Mikhail Yurochkin, Yuekai Sun:
An Investigation of Representation and Allocation Harms in Contrastive Learning. CoRR abs/2310.01583 (2023) - [i7]Felipe Maia Polo, Mikhail Yurochkin, Moulinath Banerjee, Subha Maity, Yuekai Sun:
Estimating Fréchet bounds for validating programmatic weak supervision. CoRR abs/2312.04601 (2023) - 2022
- [j2]Subha Maity, Yuekai Sun, Moulinath Banerjee:
Meta-analysis of heterogeneous data: integrative sparse regression in high-dimensions. J. Mach. Learn. Res. 23: 198:1-198:50 (2022) - [j1]Subha Maity, Yuekai Sun, Moulinath Banerjee:
Minimax optimal approaches to the label shift problem in non-parametric settings. J. Mach. Learn. Res. 23: 346:1-346:45 (2022) - [c3]Bum Chul Kwon, Uri Kartoun, Shaan Khurshid, Mikhail Yurochkin, Subha Maity, Deanna G. Brockman, Amit V. Khera, Patrick T. Ellinor, Steven A. Lubitz, Kenney Ng
:
RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups. IEEE VIS (Short Papers) 2022: 50-54 - [i6]Subha Maity, Debarghya Mukherjee, Moulinath Banerjee, Yuekai Sun:
Predictor-corrector algorithms for stochastic optimization under gradual distribution shift. CoRR abs/2205.13575 (2022) - [i5]Subha Maity, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun:
Understanding new tasks through the lens of training data via exponential tilting. CoRR abs/2205.13577 (2022) - [i4]Subha Maity, Saptarshi Roy, Songkai Xue, Mikhail Yurochkin, Yuekai Sun:
How does overparametrization affect performance on minority groups? CoRR abs/2206.03515 (2022) - [i3]Bum Chul Kwon, Uri Kartoun, Shaan Khurshid, Mikhail Yurochkin, Subha Maity, Deanna G. Brockman, Amit V. Khera, Patrick T. Ellinor, Steven A. Lubitz, Kenney Ng:
RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups. CoRR abs/2209.06378 (2022) - 2021
- [c2]Subha Maity, Songkai Xue, Mikhail Yurochkin, Yuekai Sun:
Statistical inference for individual fairness. ICLR 2021 - [c1]Subha Maity, Debarghya Mukherjee, Mikhail Yurochkin, Yuekai Sun:
Does enforcing fairness mitigate biases caused by subpopulation shift? NeurIPS 2021: 25773-25784 - [i2]Subha Maity, Songkai Xue, Mikhail Yurochkin, Yuekai Sun:
Statistical inference for individual fairness. CoRR abs/2103.16714 (2021) - 2020
- [i1]Subha Maity, Debarghya Mukherjee, Mikhail Yurochkin, Yuekai Sun:
There is no trade-off: enforcing fairness can improve accuracy. CoRR abs/2011.03173 (2020)
Coauthor Index
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