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Zachary Lipton

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 16, 2026, 3:38 AM AMS

14

papers

557

total citations

papers (14)

A Unified View of Label Shift Estimation

NEURIPS 2020arXiv

Scaling Laws for Data Filtering— Data Curation cannot be Compute Agnostic

Mixture Proportion Estimation and PU Learning:A Modern Approach

NEURIPS 2021arXiv

Domain Adaptation under Open Set Label Shift

NEURIPS 2022arXiv

Off-Policy Risk Assessment in Contextual Bandits

NEURIPS 2021arXiv

Characterizing Datapoints via Second-Split Forgetting

NEURIPS 2022arXiv

Rebounding Bandits for Modeling Satiation Effects

NEURIPS 2021arXiv

Parametric Complexity Bounds for Approximating PDEs with Neural Networks

NEURIPS 2021arXiv

Efficient Online Estimation of Causal Effects by Deciding What to Observe

NEURIPS 2021arXiv

Deep Equilibrium Based Neural Operators for Steady-State PDEs

NEURIPS 2023arXiv

Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms

NEURIPS 2023arXiv

Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift

NEURIPS 2023arXiv

Unsupervised Learning under Latent Label Shift

NEURIPS 2022arXiv

Foundations of Testing for Finite-Sample Causal Discovery