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Home/Authors/Ameet Talwalkar

Ameet Talwalkar

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 15, 2026, 1:13 AM AMS

14

papers

464

total citations

papers (14)

Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing

NEURIPS 2021arXiv

Regularizing Black-box Models for Improved Interpretability

NEURIPS 2020arXiv

NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks

NEURIPS 2022arXiv

Efficient Architecture Search for Diverse Tasks

NEURIPS 2022arXiv

Learning Predictions for Algorithms with Predictions

NEURIPS 2022arXiv

Use-Case-Grounded Simulations for Explanation Evaluation

NEURIPS 2022arXiv

Rethinking Neural Operations for Diverse Tasks

NEURIPS 2021arXiv

Specialized Foundation Models Struggle to Beat Supervised Baselines

Understanding Optimization in Deep Learning with Central Flows

Learning-to-learn non-convex piecewise-Lipschitz functions

NEURIPS 2021arXiv

Provably tuning the ElasticNet across instances

NEURIPS 2022arXiv

Bayesian Persuasion for Algorithmic Recourse

NEURIPS 2022arXiv

This Time is Different: An Observability Perspective on Time Series Foundation Models

NEURIPS 2025arXiv

Learning Personalized Decision Support Policies