conftrace_

generalization bound

652 papers

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Co-occurring keywords

learning theory (519) neural network (6616) stochastic gradient descent (1091) algorithmic stability (82) rademacher complexity (109) sample complexity (1169) generalization error (285) pac-bayes bound (53) kernel methods (1097) neural network optimization (1293)

Papers

PAC-Bayesian Bounds based on the Rényi Divergence AISTATS 2016
Nearly Optimal Classification for Semimetrics AISTATS 2016
Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers ACML 2016
A Consistent Regularization Approach for Structured Prediction NIPS 2016
Error Analysis of Generalized Nyström Kernel Regression NIPS 2016
Preference-based Teaching COLT 2016
Learnability of Non-I.I.D. ACML 2016
Learning Bound for Parameter Transfer Learning NIPS 2016
Learning Taxonomy Adaptation in Large-scale Classification JMLR 2016
Learning Kernels with Random Features NIPS 2016
Convex Risk Minimization and Conditional Probability Estimation COLT 2015
Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms NIPS 2015
Towards a Learning Theory of Cause-Effect Inference ICML 2015
Computational Complexity of Linear Large Margin Classification With Ramp Loss AISTATS 2015
Dynamic Sensing: Better Classification under Acquisition Constraints ICML 2015
Curriculum Learning of Multiple Tasks CVPR 2015
Lifelong Learning with Non-i.i.d. Tasks NIPS 2015
Entropy-Based Concentration Inequalities for Dependent Variables ICML 2015
Algorithmic Stability and Uniform Generalization NIPS 2015
Fast Rates for Exp-concave Empirical Risk Minimization NIPS 2015
Condensed Filter Tree for Cost-Sensitive Multi-Label Classification ICML 2014
Altitude Training: Strong Bounds for Single-Layer Dropout NIPS 2014
PAC-Bayesian Collective Stability AISTATS 2014
Stable Learning in Coding Space for Multi-Class Decoding and Its Extension for Multi-Class Hypothesis Transfer Learning CVPR 2014
Partition-wise Linear Models NIPS 2014