Moulinath Banerjee

Mathematics · University of Michigan

Mid career · publishing since 2008

Statistical Methods and Inference Advanced Causal Inference Techniques Domain Adaptation and Few-Shot Learning Machine Learning and Algorithms Machine Learning and Data Classification

Publications

Citations

Est. group size

—

Recurring co-author estimate

Active years

Publishing since 2008

In context

Among 196 mid career Mathematics PIs within our index

Citations: 63cohort median 311

Publications / year (recent): 2.6cohort median 3.3

Typically publishes in teams of ~4 · 36% small-team papers (≤3 authors) · across 3 venues

Publication cadence

Publications per year over the last 10 years — averaging 2.6/year recently

Collaborators per year

Distinct co-authors at University of Michigan each year — a rough indication of whether the group around this researcher has been growing or contracting. An estimate from co-authorship, not a roster: collaborators are not necessarily lab members, and recent years can be under-counted while indexing catches up.

Recent publications

Inference for change-plane regression
Bernoulli · 2025
Dynamic Pricing in the Linear Valuation Model using Shape Constraints
arXiv (Cornell University) · 2025
Tractable Structure Search in the Presence of Latent Variables
SSRN Electronic Journal · 2024
Learning the Distribution Map in Reverse Causal Performative Prediction
arXiv (Cornell University) · 2024
Microfoundation Inference for Strategic Prediction
arXiv (Cornell University) · 2024
Weak Supervision Performance Evaluation via Partial Identification
2024
Conditional independence testing under misspecified inductive biases
arXiv (Cornell University) · 2023
Weak Supervision Performance Evaluation via Partial Identification
arXiv (Cornell University) · 2023
Understanding new tasks through the lens of training data via exponential tilting
arXiv (Cornell University) · 2022
Predictor-corrector algorithms for stochastic optimization under gradual distribution shift
arXiv (Cornell University) · 2022
Two Simple Ways to Learn Individual Fairness Metrics from Data
arXiv (Cornell University) · 2020
Minimax optimal approaches to the label shift problem in non-parametric settings
arXiv (Cornell University) · 2020
Meta-analysis of heterogeneous data: integrative sparse regression in high-dimensions
arXiv (Cornell University) · 2019
Communication-Efficient Integrative Regression in High-Dimensions
arXiv (Cornell University) · 2019

Publishes in

arXiv (Cornell University)×21
Bernoulli×1
SSRN Electronic Journal×1

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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 25, 2026.

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