conftrace
_
Papers
Trends
Conferences
Explore
More
Authors
Topics
Keywords
Insights
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Insights
Achievements
Home
›
Keywords
›
uniform convergence
uniform convergence
64 papers
Explore in graph
Co-occurring keywords
generalization bound
(652)
sample complexity
(1169)
learning theory
(519)
empirical risk minimization
(352)
generalization error
(285)
rademacher complexity
(109)
vc theory
(8)
vc dimension
(108)
gradient descent
(1144)
agnostic learning
(76)
Papers
Good Classifiers are Abundant in the Interpolating Regime
AISTATS 2021
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting
NIPS 2021
Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings
NIPS 2021
Concentration inequalities under sub-Gaussian and sub-exponential conditions
NIPS 2021
Query complexity of least absolute deviation regression via robust uniform convergence
COLT 2021
Uniform Convergence, Adversarial Spheres and a Simple Remedy
ICML 2021
On Uniform Convergence and Low-Norm Interpolation Learning
NIPS 2020
Sharp uniform convergence bounds through empirical centralization
NIPS 2020
Towards Problem-dependent Optimal Learning Rates
NIPS 2020
A Limitation of the PAC-Bayes Framework
NIPS 2020
Open Problem: Information Complexity of VC Learning
COLT 2020
Uniform Convergence of Rank-weighted Learning
ICML 2020
In Defense of Uniform Convergence: Generalization via Derandomization with an Application to Interpolating Predictors
ICML 2020
Sample Complexity of Uniform Convergence for Multicalibration
NIPS 2020
Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension
ICML 2019
An adaptive nearest neighbor rule for classification
NIPS 2019
Efficient Nonconvex Empirical Risk Minimization via Adaptive Sample Size Methods
AISTATS 2019
Uniform convergence may be unable to explain generalization in deep learning
NIPS 2019
Generalization Bounds for Neural Networks via Approximate Description Length
NIPS 2019
A Sharp Lower Bound for Agnostic Learning with Sample Compression Schemes
ALT 2019
Plug-in Estimators for Conditional Expectations and Probabilities
AISTATS 2018
Uniform Convergence of Gradients for Non-Convex Learning and Optimization
NIPS 2018
Submultiplicative Glivenko-Cantelli and Uniform Convergence of Revenues
NIPS 2017
Uniform Convergence Rates for Kernel Density Estimation
ICML 2017
On the Interpretability of Conditional Probability Estimates in the Agnostic Setting
AISTATS 2017
<
1
2
3
>