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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