Paul Valiant
8 papers · 2013–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (3) π Academic Marathon (12) π Cross-Pollinator (5)
πΊοΈ
Taxonomy Completionist
(13)
π
Interdisciplinary Bridge
π
Keyword Champion
(2)
π
Trend Setter
Conferences
NIPS (5)
COLT (2)
ICML (1)
Top co-authors
Research topics
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