Moulinath Banerjee

31 papers A* 6A 2Journal 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Maximin Relative Improvement: Fair Learning as a Bargaining Problem. CoRR Jiwoo Han, Moulinath Banerjee, Yuekai Sun
2025	J	`jnl`	A Latent Variable Framework for Scaling Laws in Large Language Models. CoRR Peiyao Cai, Chengyu Cui, Felipe Maia Polo, Seamus Somerstep, Leshem Choshen, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun, Kean Ming Tan, Gongjun Xu
2025	A*	`conf`	A transfer learning framework for weak to strong generalization. ICLR Seamus Somerstep, Felipe Maia Polo, Moulinath Banerjee, Yaacov Ritov, Mikhail Yurochkin, Yuekai Sun
2025	J	`jnl`	Bridging Human and LLM Judgments: Understanding and Narrowing the Gap. CoRR Felipe Maia Polo, Xinhe Wang, Mikhail Yurochkin, Gongjun Xu, Moulinath Banerjee, Yuekai Sun
2025	J	`jnl`	Dynamic Pricing in the Linear Valuation Model using Shape Constraints. CoRR Daniele Bracale, Moulinath Banerjee, Yuekai Sun, Kevin Stoll, Salam Turki
2025	J	`jnl`	Dynamic Pricing in the Linear Valuation Model using Shape Constraints. Trans. Mach. Learn. Res. Daniele Bracale, Moulinath Banerjee, Yuekai Sun, Salam Turki, Kevin Stoll
2025	A	`conf`	Learning the Distribution Map in Reverse Causal Performative Prediction. AISTATS Daniele Bracale, Subha Maity, Yuekai Sun, Moulinath Banerjee
2025	J	`jnl`	Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing. CoRR Pramit Das, Moulinath Banerjee, Yuekai Sun
2025	A	`conf`	Microfoundation inference for strategic prediction. AISTATS Daniele Bracale, Subha Maity, Felipe Maia Polo, Seamus Somerstep, Moulinath Banerjee, Yuekai Sun
2025	J	`jnl`	Online Price Competition under Generalized Linear Demands. CoRR Daniele Bracale, Moulinath Banerjee, Cong Shi, Yuekai Sun
2025	J	`jnl`	Optimal Intervention for Self-triggering Spatial Networks with Application to Urban Crime Analytics. CoRR Pramit Das, Moulinath Banerjee, Yuekai Sun
2025	J	`jnl`	Optimal Nonlinear Online Learning under Sequential Price Competition via s-Concavity. CoRR Daniele Bracale, Moulinath Banerjee, Cong Shi, Yuekai Sun
2024	J	`jnl`	A statistical framework for weak-to-strong generalization. CoRR Seamus Somerstep, Felipe Maia Polo, Moulinath Banerjee, Yaacov Ritov, 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	A*	`conf`	Conditional independence testing under misspecified inductive biases. NeurIPS Felipe Maia Polo, Yuekai Sun, Moulinath Banerjee
2023	J	`jnl`	Conditional independence testing under model misspecification. CoRR Felipe Maia Polo, Yuekai Sun, Moulinath Banerjee
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`	Understanding new tasks through the lens of training data via exponential tilting. ICLR Subha Maity, Mikhail Yurochkin, Moulinath Banerjee, 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	J	`jnl`	Understanding new tasks through the lens of training data via exponential tilting. CoRR Subha Maity, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun
2021	J	`jnl`	Inference In High-dimensional Single-Index Models Under Symmetric Designs. J. Mach. Learn. Res. Hamid Eftekhari, Moulinath Banerjee, Yaacov Ritov
2020	J	`jnl`	Change Point Estimation in a Dynamic Stochastic Block Model. J. Mach. Learn. Res. Monika Bhattacharjee, Moulinath Banerjee, George Michailidis
2020	A*	`conf`	Two Simple Ways to Learn Individual Fairness Metrics from Data. ICML Debarghya Mukherjee, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun
2020	J	`jnl`	Two Simple Ways to Learn Individual Fairness Metrics from Data. CoRR Debarghya Mukherjee, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun
2016	J	`jnl`	Penalized Maximum Likelihood Estimation of Multi-layered Gaussian Graphical Models. J. Mach. Learn. Res. Jiahe Lin, Sumanta Basu, Moulinath Banerjee, George Michailidis
2015	J	`jnl`	Two-Stage Plans for Estimating the Inverse of a Monotone Function. Technometrics Runlong Tang, Moulinath Banerjee, George Michailidis, Shawn Mankad