Moulinath Banerjee
13 papers · 2016–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Interdisciplinary Bridge π Academic Marathon (9)
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Conference Polyglot
(5)
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Academic Marathon
(9)
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Dynamic Duo
(10)
π₯
Unstoppable
(6)
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Century Club
(13)
ποΈ
Keyword Collector
(50)
Conferences
JMLR (5)
ICLR (3)
AISTATS (2)
NIPS (2)
ICML (1)
Top co-authors
Research topics
Keywords
high-dimensional regression
(2)
statistical inference
(1)
model evaluation
(1)
domain adaptation
(1)
convex optimization
(1)
graph clustering
(1)
transfer learning
(1)
supervised learning
(1)
high-dimensional inference
(1)
weak supervision
(1)
community detection
(1)
high-dimensional statistics
(1)
network analysis
(1)
sparse regression
(1)
algorithmic fairness
(1)
performance metric
(1)
distribution shift
(1)
label shift
(1)
maximum likelihood estimation
(1)
change point detection
(1)
Papers
Microfoundation inference for strategic prediction
AISTATS 2025
A transfer learning framework for weak to strong generalization
ICLR 2025
Learning the Distribution Map in Reverse Causal Performative Prediction
AISTATS 2025
Weak Supervision Performance Evaluation via Partial Identification
NIPS 2024
Conditional independence testing under misspecified inductive biases
NIPS 2023
Understanding new tasks through the lens of training data via exponential tilting
ICLR 2023
Predictor-corrector algorithms for stochastic optimization under gradual distribution shift
ICLR 2023
Meta-analysis of heterogeneous data: integrative sparse regression in high-dimensions
JMLR 2022
Minimax optimal approaches to the label shift problem in non-parametric settings
JMLR 2022
Inference In High-dimensional Single-Index Models Under Symmetric Designs
JMLR 2021
Two Simple Ways to Learn Individual Fairness Metrics from Data
ICML 2020
Change Point Estimation in a Dynamic Stochastic Block Model
JMLR 2020
Penalized Maximum Likelihood Estimation of Multi-layered Gaussian Graphical Models
JMLR 2016