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Paul Valiant

8 papers · 2013–2025 · 3 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) πŸƒ Academic Marathon (12) 🐝 Cross-Pollinator (5) πŸ—ΊοΈ Taxonomy Completionist (13) πŸŒ‰ Interdisciplinary Bridge πŸ† Keyword Champion (2) πŸ“ˆ Trend Setter

Conferences

NIPS (5) COLT (2) ICML (1)

Top co-authors

Gregory Valiant (3) Jasper Lee (3) ecprice (2) Shivam Gupta (2) Jasper C.H. Lee (1) Maoyuan 'Raymond' Song (1) Daniel Reichman (1) Justin Chen (1) Maoyuan Song (1) Neha Gupta (1)

Research topics

Statistics (1)

Keywords

statistical estimation (3) location estimation (2) worst-case analysis (2) parameter estimation (1) minimax optimality (1) mean estimation (1) sample complexity (1) distribution property (1) maximum likelihood (1) fisher information (1) minimax optimal (1) linear regression (1) maximum likelihood estimation (1) entropy estimation (1) cramer-rao bound (1) robust statistics (1) conformal prediction (1) unseen portion (1) good-turing frequency (1) stochastic gradient descent (1)

Papers

Depth Separations in Neural Networks: Separating the Dimension from the Accuracy COLT 2025
All-Purpose Mean Estimation over R: Optimal Sub-Gaussianity with Outlier Robustness and Low Moments Performance ICML 2025
Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond $1+\alpha$ Moments NIPS 2023
Minimax-Optimal Location Estimation NIPS 2023
Finite-Sample Maximum Likelihood Estimation of Location NIPS 2022
Implicit regularization for deep neural networks driven by an Ornstein-Uhlenbeck like process COLT 2020
Worst-Case Analysis for Randomly Collected Data NIPS 2020
Estimating the Unseen: Improved Estimators for Entropy and other Properties NIPS 2013