Moulinath Banerjee
13 papers · 2016–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (27)
π€
Dynamic Duo
(10)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(67)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(12)
Optimization & Theory
(7)
Core Methods
(6)
Learning Types
(5)
Artificial Intelligence
(4)
Mathematics & Optimization
(4)
Application Areas
(3)
Core AI
(3)
Mathematics
(3)
Learning Paradigms
(2)
Natural Language Processing
(1)
Bayesian & Probabilistic
(1)
Resources & Methods
(1)
Statistics
(1)
Keywords
distribution shift
(4)
transfer learning
(3)
high-dimensional regression
(2)
domain adaptation
(2)
performative prediction
(2)
convex optimization
(1)
high-dimensional inference
(1)
algorithmic fairness
(1)
supervised learning
(1)
performance metric
(1)
model evaluation
(1)
weak supervision
(1)
community detection
(1)
high-dimensional statistics
(1)
sparse regression
(1)
optimal transport
(1)
network analysis
(1)
model alignment
(1)
graph clustering
(1)
statistical inference
(1)
Papers
A transfer learning framework for weak to strong generalization
ICLR 2025
Learning the Distribution Map in Reverse Causal Performative Prediction
AISTATS 2025
Microfoundation inference for strategic prediction
AISTATS 2025
Weak Supervision Performance Evaluation via Partial Identification
NeurIPS 2024
Conditional independence testing under misspecified inductive biases
NeurIPS 2023
Predictor-corrector algorithms for stochastic optimization under gradual distribution shift
ICLR 2023
Understanding new tasks through the lens of training data via exponential tilting
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
Change Point Estimation in a Dynamic Stochastic Block Model
JMLR 2020
Two Simple Ways to Learn Individual Fairness Metrics from Data
ICML 2020
Penalized Maximum Likelihood Estimation of Multi-layered Gaussian Graphical Models
JMLR 2016