Subha Maity - RankMe

32 papers A* 7A 2Journal 19Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CARROT: A Cost Aware Rate Optimal Router. CoRR Seamus Somerstep, Felipe Maia Polo, Allysson Flavio Melo de Oliveira, Prattyush Mangal, Mírian Silva, Onkar Bhardwaj, Mikhail Yurochkin, Subha Maity
2025	J	`jnl`	Diagnosis-based mortality prediction for intensive care unit patients via transfer learning. CoRR Mengqi Xu, Subha Maity, Joel Dubin
2025	J	`jnl`	How does overparametrization affect performance on minority groups? Trans. Mach. Learn. Res. Saptarshi Roy, Subha Maity, Songkai Xue, Mikhail Yurochkin, Yuekai Sun
2025	A	`conf`	Learning the Distribution Map in Reverse Causal Performative Prediction. AISTATS Daniele Bracale, Subha Maity, Yuekai Sun, Moulinath Banerjee
2025	J	`jnl`	Limitations of refinement methods for weak to strong generalization. CoRR Seamus Somerstep, Yaacov Ritov, Mikhail Yurochkin, Subha Maity, Yuekai Sun
2025	A	`conf`	Microfoundation inference for strategic prediction. AISTATS Daniele Bracale, Subha Maity, Felipe Maia Polo, Seamus Somerstep, Moulinath Banerjee, Yuekai Sun
2024	—	`conf`	Aligners: Decoupling LLMs and Alignment. EMNLP (Findings) Lilian Ngweta, Mayank Agarwal, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin
2024	—	`conf`	Aligners: Decoupling LLMs and Alignment. Tiny Papers @ ICLR Lilian Ngweta, Mayank Agarwal, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin
2024	J	`jnl`	Aligners: Decoupling LLMs and Alignment. CoRR Lilian Ngweta, Mayank Agarwal, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin
2024	A*	`conf`	An Investigation of Representation and Allocation Harms in Contrastive Learning. ICLR Subha Maity, Mayank Agarwal, Mikhail Yurochkin, Yuekai Sun
2024	J	`jnl`	Learning the Distribution Map in Reverse Causal Performative Prediction. CoRR Daniele Bracale, Subha Maity, Moulinath Banerjee, Yuekai Sun
2024	J	`jnl`	Microfoundation Inference for Strategic Prediction. CoRR Daniele Bracale, Subha Maity, Felipe Maia Polo, Seamus Somerstep, Moulinath Banerjee, Yuekai Sun
2024	A*	`conf`	Weak Supervision Performance Evaluation via Partial Identification. NeurIPS Felipe Maia Polo, Subha Maity, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun
2023	J	`jnl`	An Investigation of Representation and Allocation Harms in Contrastive Learning. CoRR Subha Maity, Mayank Agarwal, Mikhail Yurochkin, Yuekai Sun
2023	—	`conf`	Bayes classifier cannot be learned from noisy responses with unknown noise rates. Tiny Papers @ ICLR Soham Bakshi, Subha Maity
2023	J	`jnl`	Bayes classifier cannot be learned from noisy responses with unknown noise rates. CoRR Soham Bakshi, Subha Maity
2023	J	`jnl`	Estimating Fréchet bounds for validating programmatic weak supervision. CoRR Felipe Maia Polo, Mikhail Yurochkin, Moulinath Banerjee, Subha Maity, Yuekai Sun
2023	A*	`conf`	Predictor-corrector algorithms for stochastic optimization under gradual distribution shift. ICLR Subha Maity, Debarghya Mukherjee, Moulinath Banerjee, Yuekai Sun
2023	A*	`conf`	Simple Disentanglement of Style and Content in Visual Representations. ICML Lilian Ngweta, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin
2023	J	`jnl`	Simple Disentanglement of Style and Content in Visual Representations. CoRR Lilian Ngweta, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin
2023	A*	`conf`	Understanding new tasks through the lens of training data via exponential tilting. ICLR Subha Maity, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun
2022	J	`jnl`	How does overparametrization affect performance on minority groups? CoRR Subha Maity, Saptarshi Roy, Songkai Xue, Mikhail Yurochkin, Yuekai Sun
2022	J	`jnl`	Meta-analysis of heterogeneous data: integrative sparse regression in high-dimensions. J. Mach. Learn. Res. Subha Maity, Yuekai Sun, Moulinath Banerjee
2022	J	`jnl`	Minimax optimal approaches to the label shift problem in non-parametric settings. J. Mach. Learn. Res. Subha Maity, Yuekai Sun, Moulinath Banerjee
2022	J	`jnl`	Predictor-corrector algorithms for stochastic optimization under gradual distribution shift. CoRR Subha Maity, Debarghya Mukherjee, Moulinath Banerjee, Yuekai Sun
2022	—	`conf`	RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups. IEEE VIS (Short Papers) 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
2022	J	`jnl`	RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups. CoRR 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
2022	J	`jnl`	Understanding new tasks through the lens of training data via exponential tilting. CoRR Subha Maity, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun
2021	A*	`conf`	Does enforcing fairness mitigate biases caused by subpopulation shift? NeurIPS Subha Maity, Debarghya Mukherjee, Mikhail Yurochkin, Yuekai Sun
2021	A*	`conf`	Statistical inference for individual fairness. ICLR Subha Maity, Songkai Xue, Mikhail Yurochkin, Yuekai Sun
2021	J	`jnl`	Statistical inference for individual fairness. CoRR Subha Maity, Songkai Xue, Mikhail Yurochkin, Yuekai Sun
2020	J	`jnl`	There is no trade-off: enforcing fairness can improve accuracy. CoRR Subha Maity, Debarghya Mukherjee, Mikhail Yurochkin, Yuekai Sun