Subha Maity
12 papers · 2021–2025 · 6 venues · across top CS/AI venues
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (30) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π€ Dynamic Duo (12)
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Research topics
Machine Learning
(12)
Learning Types Β· Machine Learning
(8)
Artificial Intelligence
(6)
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(6)
Core AI Β· Artificial Intelligence
(6)
Optimization & Theory
(6)
Core Methods
(3)
Deep Learning
(2)
Learning Types Β· Deep Learning
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Core AI Β· Computer Vision
(1)
Learning Paradigms
(1)
Resources & Methods
(1)
Keywords
distribution shift
(4)
domain adaptation
(3)
performative prediction
(2)
transfer learning
(2)
domain generalization
(2)
language model alignment
(1)
visual representation
(1)
contrastive learning
(1)
model evaluation
(1)
model alignment
(1)
optimal transport
(1)
instruction following
(1)
style transfer
(1)
model safety
(1)
subpopulation shift
(1)
responsible ai
(1)
weak supervision
(1)
machine learning fairness
(1)
convex optimization
(1)
algorithmic fairness
(1)
Papers
Learning the Distribution Map in Reverse Causal Performative Prediction
AISTATS 2025
Microfoundation inference for strategic prediction
AISTATS 2025
Aligners: Decoupling LLMs and Alignment
EMNLP 2024
An Investigation of Representation and Allocation Harms in Contrastive Learning
ICLR 2024
Weak Supervision Performance Evaluation via Partial Identification
NeurIPS 2024
Predictor-corrector algorithms for stochastic optimization under gradual distribution shift
ICLR 2023
Simple Disentanglement of Style and Content in Visual Representations
ICML 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
Does enforcing fairness mitigate biases caused by subpopulation shift?
NeurIPS 2021
Statistical inference for individual fairness
ICLR 2021