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Learning Theory

5,334 papers

Papers per year

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123
466
307
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Papers

Agnostic Active Learning Without Constraints NIPS 2010
On Herding and the Perceptron Cycling Theorem NIPS 2010
Effects of Synaptic Weight Diffusion on Learning in Decision Making Networks NIPS 2010
Universal Consistency of Multi-Class Support Vector Classification NIPS 2010
Supervised Clustering NIPS 2010
Empirical Risk Minimization with Approximations of Probabilistic Grammars NIPS 2010
Trading off Mistakes and Don't-Know Predictions NIPS 2010
Evidence-Specific Structures for Rich Tractable CRFs NIPS 2010
Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models NIPS 2010
Identifying Dendritic Processing NIPS 2010
Multi-View Active Learning in the Non-Realizable Case NIPS 2010
Exact learning curves for Gaussian process regression on large random graphs NIPS 2010
A Theory of Multiclass Boosting NIPS 2010
Universal Kernels on Non-Standard Input Spaces NIPS 2010
Worst-Case Linear Discriminant Analysis NIPS 2010
Learning Bounds for Importance Weighting NIPS 2010
Scrambled Objects for Least-Squares Regression NIPS 2010
Sufficient Conditions for Generating Group Level Sparsity in a Robust Minimax Framework NIPS 2010
Smoothness, Low Noise and Fast Rates NIPS 2010
Online Markov Decision Processes under Bandit Feedback NIPS 2010
Permutation Complexity Bound on Out-Sample Error NIPS 2010
Spike timing-dependent plasticity as dynamic filter NIPS 2010
Sample Complexity of Testing the Manifold Hypothesis NIPS 2010
Multivariate Dyadic Regression Trees for Sparse Learning Problems NIPS 2010
Tight Sample Complexity of Large-Margin Learning NIPS 2010