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Papers
On-Average Stability of Multipass Preconditioned SGD and Effective Dimension
COLT 2026
Relative Information Gain and Gaussian Process Regression
ALT 2026
A two-scale Complexity Measure for Deep Learning Models
NeurIPS 2024
High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm
AAAI 2024
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization
AISTATS 2022
Effective Dimension in Bandit Problems under Censorship
NeurIPS 2022
On the Generalization of Representations in Reinforcement Learning
AISTATS 2022
Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality
ICML 2021
Concentration of Non-Isotropic Random Tensors with Applications to Learning and Empirical Risk Minimization
COLT 2021
Bayesian experimental design using regularized determinantal point processes
AISTATS 2020
Effective Dimension Adaptive Sketching Methods for Faster Regularized Least-Squares Optimization
NeurIPS 2020
Sample complexity and effective dimension for regression on manifolds
NeurIPS 2020
Spectral bandits
JMLR 2020
Distribution-Dependent Analysis of Gibbs-ERM Principle
COLT 2019
Fast Randomized Kernel Ridge Regression with Statistical Guarantees
NeurIPS 2015
Non-asymptotic Analysis of Compressive Fisher Discriminants in terms of the Effective Dimension
ACML 2015