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Papers
Distribution-Dependent Rates for Multi-Distribution Learning
ALT 2026
Adaptive Convergence Rates for Log-Concave Maximum Likelihood
AISTATS 2025
Kernel-based estimation for partially functional linear model: Minimax rates and randomized sketches
JMLR 2023
Open problem: log(n) factor in "Local Glivenko-Cantelli"
COLT 2023
An Efficient Minimax Optimal Estimator For Multivariate Convex Regression
COLT 2022
Neural Estimation of Statistical Divergences
JMLR 2022
On Kernel Derivative Approximation with Random Fourier Features
AISTATS 2019