Co-occurring keywords
Papers
Deep learning is adaptive to intrinsic dimensionality of model smoothness in anisotropic Besov space
NIPS 2021
On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift
JMLR 2021
Adaptive Approximation and Generalization of Deep Neural Network with Intrinsic Dimensionality
JMLR 2020
Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability
AISTATS 2019
Memory Efficient Kernel Approximation
JMLR 2017
Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression
AISTATS 2012
Shallow vs. Deep Sum-Product Networks
NIPS 2011