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Learning Theory

5,334 papers

Papers per year

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123
466
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Papers

Lower Bounds for Passive and Active Learning NIPS 2011
k-NN Regression Adapts to Local Intrinsic Dimension NIPS 2011
The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers NIPS 2011
Prediction strategies without loss NIPS 2011
Active Learning with a Drifting Distribution NIPS 2011
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression NIPS 2011
Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss NIPS 2011
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning NIPS 2011
Autonomous Learning of Action Models for Planning NIPS 2011
Agnostic Selective Classification NIPS 2011
A Collaborative Mechanism for Crowdsourcing Prediction Problems NIPS 2011
Optimal learning rates for least squares SVMs using Gaussian kernels NIPS 2011
A More Powerful Two-Sample Test in High Dimensions using Random Projection NIPS 2011
PAC-Bayesian Analysis of Contextual Bandits NIPS 2011
Adaptive Hedge NIPS 2011
Stochastic convex optimization with bandit feedback NIPS 2011
Online Learning: Stochastic, Constrained, and Smoothed Adversaries NIPS 2011
Maximum Margin Multi-Label Structured Prediction NIPS 2011
Active Ranking using Pairwise Comparisons NIPS 2011
Sequence learning with hidden units in spiking neural networks NIPS 2011
The Fast Convergence of Boosting NIPS 2011
Shallow vs. Deep Sum-Product Networks NIPS 2011
Selecting the State-Representation in Reinforcement Learning NIPS 2011
A Reinforcement Learning Theory for Homeostatic Regulation NIPS 2011
Learning large-margin halfspaces with more malicious noise NIPS 2011