There is no trade-off: enforcing fairness can improve accuracy. - Subha Maity; Debarghya Mukherjee; Mikhail Yurochkin; Yuekai Sun (CoRR, 2020)

Statistical inference for individual fairness. - Subha Maity; Songkai Xue; Mikhail Yurochkin; Yuekai Sun (ICLR, 2021)

Does enforcing fairness mitigate biases caused by subpopulation shift? - Subha Maity; Debarghya Mukherjee; Mikhail Yurochkin; Yuekai Sun (NeurIPS, 2021)

RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups. - 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 (IEEE VIS (Short Papers), 2022)

How does overparametrization affect performance on minority groups? - Subha Maity; Saptarshi Roy; Songkai Xue; Mikhail Yurochkin; Yuekai Sun (CoRR, 2022)

Meta-analysis of heterogeneous data: integrative sparse regression in high-dimensions. - Subha Maity; Yuekai Sun; Moulinath Banerjee (J. Mach. Learn. Res., 2022)

Minimax optimal approaches to the label shift problem in non-parametric settings. - Subha Maity; Yuekai Sun; Moulinath Banerjee (J. Mach. Learn. Res., 2022)

Bayes classifier cannot be learned from noisy responses with unknown noise rates. - Soham Bakshi; Subha Maity (Tiny Papers @ ICLR, 2023)

Predictor-corrector algorithms for stochastic optimization under gradual distribution shift. - Subha Maity; Debarghya Mukherjee; Moulinath Banerjee; Yuekai Sun (ICLR, 2023)

Understanding new tasks through the lens of training data via exponential tilting. - Subha Maity; Mikhail Yurochkin; Moulinath Banerjee; Yuekai Sun (ICLR, 2023)

Simple Disentanglement of Style and Content in Visual Representations. - Lilian Ngweta; Subha Maity; Alex Gittens; Yuekai Sun; Mikhail Yurochkin (ICML, 2023)

Estimating Fréchet bounds for validating programmatic weak supervision. - Felipe Maia Polo; Mikhail Yurochkin; Moulinath Banerjee; Subha Maity; Yuekai Sun (CoRR, 2023)

Aligners: Decoupling LLMs and Alignment. - Lilian Ngweta; Mayank Agarwal; Subha Maity; Alex Gittens; Yuekai Sun; Mikhail Yurochkin (EMNLP (Findings), 2024)

An Investigation of Representation and Allocation Harms in Contrastive Learning. - Subha Maity; Mayank Agarwal; Mikhail Yurochkin; Yuekai Sun (ICLR, 2024)

Weak Supervision Performance Evaluation via Partial Identification. - Felipe Maia Polo; Subha Maity; Mikhail Yurochkin; Moulinath Banerjee; Yuekai Sun (NeurIPS, 2024)

Microfoundation inference for strategic prediction. - Daniele Bracale; Subha Maity; Felipe Maia Polo; Seamus Somerstep; Moulinath Banerjee; Yuekai Sun (AISTATS, 2025)

Learning the Distribution Map in Reverse Causal Performative Prediction. - Daniele Bracale; Subha Maity; Yuekai Sun; Moulinath Banerjee (AISTATS, 2025)

CARROT: A Cost Aware Rate Optimal Router. - Seamus Somerstep; Felipe Maia Polo; Allysson Flavio Melo de Oliveira; Prattyush Mangal; Mírian Silva; Onkar Bhardwaj; Mikhail Yurochkin; Subha Maity (CoRR, 2025)