Co-occurring keywords · papers mentioning both
Papers
Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime
ICLR 2021
Rate-Optimal Subspace Estimation on Random Graphs
NeurIPS 2021
Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network
AISTATS 2021
Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality
ICLR 2019
Classification with unknown class-conditional label noise on non-compact feature spaces
COLT 2019
DBSCAN++: Towards fast and scalable density clustering
ICML 2019
Kernel Instrumental Variable Regression
NeurIPS 2019
Parallelizing Spectrally Regularized Kernel Algorithms
JMLR 2018
Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates
JMLR 2015
A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates
COLT 2014
Early Stopping and Non-parametric Regression: An Optimal Data-dependent Stopping Rule
JMLR 2014
Optimal rates for k-NN density and mode estimation
NeurIPS 2014
Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time
NeurIPS 2014