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learning theory

518 papers

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generalization bound (649) sample complexity (1158) statistical learning (350) neural network (6616) online learning (1770) gradient descent (1143) stochastic gradient descent (1088) empirical risk minimization (348) convergence rate (606) pac learning (280)

Papers

Fundamental Limits of Online and Distributed Algorithms for Statistical Learning and Estimation NIPS 2014
Sparse Polynomial Learning and Graph Sketching NIPS 2014
Learning without concentration COLT 2014
Exploiting easy data in online optimization NIPS 2014
Multivariate f-divergence Estimation With Confidence NIPS 2014
Near-optimal sample compression for nearest neighbors NIPS 2014
From Stochastic Mixability to Fast Rates NIPS 2014
Low-Rank Spectral Learning AISTATS 2014
A New Perspective on Learning Linear Separators with Large L_qL_p Margins AISTATS 2014
PAC-Bayesian Collective Stability AISTATS 2014
An Analysis of Active Learning with Uniform Feature Noise AISTATS 2014
PAC-Bayesian Theory for Transductive Learning AISTATS 2014
The Complexity of Learning Halfspaces using Generalized Linear Methods COLT 2014
Sample Compression for Multi-label Concept Classes COLT 2014
Ensemble Methods for Structured Prediction ICML 2014
The Sample-Complexity of General Reinforcement Learning ICML 2013
A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers ICML 2013
Collective Stability in Structured Prediction: Generalization from One Example ICML 2013
Passive Learning with Target Risk COLT 2013
Distribution-Free Distribution Regression AISTATS 2013
Learning Using Local Membership Queries COLT 2013
Statistical Active Learning Algorithms NIPS 2013
PAC-Bayes-Empirical-Bernstein Inequality NIPS 2013
On model selection consistency of penalized M-estimators: a geometric theory NIPS 2013
Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction ICML 2013