Moulinath Banerjee

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 16

Top Topics

Graphical Models

Conditional Independence

Markov Property

Top Venues

J. Mach. Learn. Res.

Publications

Daniele Bracale, Subha Maity, Moulinath Banerjee, Yuekai Sun
Learning the Distribution Map in Reverse Causal Performative Prediction. CoRR (2024)
Seamus Somerstep, Felipe Maia Polo, Moulinath Banerjee, Yaacov Ritov, Mikhail Yurochkin, Yuekai Sun
A statistical framework for weak-to-strong generalization. CoRR (2024)
Subha Maity, Debarghya Mukherjee, Moulinath Banerjee, Yuekai Sun
Predictor-corrector algorithms for stochastic optimization under gradual distribution shift. ICLR (2023)
Subha Maity, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun
Understanding new tasks through the lens of training data via exponential tilting. ICLR (2023)
Felipe Maia Polo, Mikhail Yurochkin, Moulinath Banerjee, Subha Maity, Yuekai Sun
Estimating Fréchet bounds for validating programmatic weak supervision. CoRR (2023)
Felipe Maia Polo, Yuekai Sun, Moulinath Banerjee
Conditional independence testing under model misspecification. CoRR (2023)
Felipe Maia Polo, Yuekai Sun, Moulinath Banerjee
Conditional independence testing under misspecified inductive biases. NeurIPS (2023)
Subha Maity, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun
Understanding new tasks through the lens of training data via exponential tilting. CoRR (2022)
Subha Maity, Yuekai Sun, Moulinath Banerjee
Minimax optimal approaches to the label shift problem in non-parametric settings. J. Mach. Learn. Res. 23 (2022)
Subha Maity, Debarghya Mukherjee, Moulinath Banerjee, Yuekai Sun
Predictor-corrector algorithms for stochastic optimization under gradual distribution shift. CoRR (2022)
Subha Maity, Yuekai Sun, Moulinath Banerjee
Meta-analysis of heterogeneous data: integrative sparse regression in high-dimensions. J. Mach. Learn. Res. 23 (2022)
Hamid Eftekhari, Moulinath Banerjee, Yaacov Ritov
Inference In High-dimensional Single-Index Models Under Symmetric Designs. J. Mach. Learn. Res. 22 (2021)
Monika Bhattacharjee, Moulinath Banerjee, George Michailidis
Change Point Estimation in a Dynamic Stochastic Block Model. J. Mach. Learn. Res. 21 (2020)
Debarghya Mukherjee, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun
Two Simple Ways to Learn Individual Fairness Metrics from Data. ICML (2020)
Debarghya Mukherjee, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun
Two Simple Ways to Learn Individual Fairness Metrics from Data. CoRR (2020)
Jiahe Lin, Sumanta Basu, Moulinath Banerjee, George Michailidis
Penalized Maximum Likelihood Estimation of Multi-layered Gaussian Graphical Models. J. Mach. Learn. Res. 17 (2016)
Runlong Tang, Moulinath Banerjee, George Michailidis, Shawn Mankad
Two-Stage Plans for Estimating the Inverse of a Monotone Function. Technometrics 57 (3) (2015)