Banerjee, Moulinath

17 publications

ICLR 2025 A Transfer Learning Framework for Weak to Strong Generalization Seamus Somerstep, Felipe Maia Polo, Moulinath Banerjee, Yaacov Ritov, Mikhail Yurochkin, Yuekai Sun
NeurIPS 2025 Bridging Human and LLM Judgments: Understanding and Narrowing the Gap Felipe Maia Polo, Xinhe Wang, Mikhail Yurochkin, Gongjun Xu, Moulinath Banerjee, Yuekai Sun
TMLR 2025 Dynamic Pricing in the Linear Valuation Model Using Shape Constraints Daniele Bracale, Moulinath Banerjee, Yuekai Sun, Salam Turki, Kevin Stoll
AISTATS 2025 Learning the Distribution mAP in Reverse Causal Performative Prediction Daniele Bracale, Subha Maity, Yuekai Sun, Moulinath Banerjee
AISTATS 2025 Microfoundation Inference for Strategic Prediction Daniele Bracale, Subha Maity, Felipe Maia Polo, Seamus Somerstep, Moulinath Banerjee, Yuekai Sun
ICMLW 2024 A Statistical Framework for Weak-to-Strong Generalization Seamus Somerstep, Felipe Maia Polo, Moulinath Banerjee, Yaacov Ritov, Mikhail Yurochkin, Yuekai Sun
NeurIPS 2024 Weak Supervision Performance Evaluation via Partial Identification Felipe Maia Polo, Subha Maity, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun
NeurIPS 2023 Conditional Independence Testing Under Misspecified Inductive Biases Felipe Maia Polo, Yuekai Sun, Moulinath Banerjee
NeurIPSW 2023 Estimating Fréchet Bounds for Validating Programmatic Weak Supervision Felipe Maia Polo, Mikhail Yurochkin, Moulinath Banerjee, Subha Maity, Yuekai Sun
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
JMLR 2022 Meta-Analysis of Heterogeneous Data: Integrative Sparse Regression in High-Dimensions Subha Maity, Yuekai Sun, Moulinath Banerjee
JMLR 2022 Minimax Optimal Approaches to the Label Shift Problem in Non-Parametric Settings Subha Maity, Yuekai Sun, Moulinath Banerjee
JMLR 2021 Inference in High-Dimensional Single-Index Models Under Symmetric Designs Hamid Eftekhari, Moulinath Banerjee, Ya'acov Ritov
JMLR 2020 Change Point Estimation in a Dynamic Stochastic Block Model Monika Bhattacharjee, Moulinath Banerjee, George Michailidis
ICML 2020 Two Simple Ways to Learn Individual Fairness Metrics from Data Debarghya Mukherjee, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun
JMLR 2016 Penalized Maximum Likelihood Estimation of Multi-Layered Gaussian Graphical Models Jiahe Lin, Sumanta Basu, Moulinath Banerjee, George Michailidis