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Learning Theory

5,334 papers

Papers per year

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123
466
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Papers

Selective Labeling via Error Bound Minimization NIPS 2012
On Multilabel Classification and Ranking with Partial Feedback NIPS 2012
Multiclass Learning Approaches: A Theoretical Comparison with Implications NIPS 2012
Multiclass Learning with Simplex Coding NIPS 2012
Classification Calibration Dimension for General Multiclass Losses NIPS 2012
Optimal Regularized Dual Averaging Methods for Stochastic Optimization NIPS 2012
Imitation Learning by Coaching NIPS 2012
Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space NIPS 2012
Learning optimal spike-based representations NIPS 2012
Volume Regularization for Binary Classification NIPS 2012
Identifiability and Unmixing of Latent Parse Trees NIPS 2012
On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking NIPS 2012
Relax and Randomize : From Value to Algorithms NIPS 2012
Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison NIPS 2012
Mixability in Statistical Learning NIPS 2012
Learning Halfspaces with the Zero-One Loss: Time-Accuracy Tradeoffs NIPS 2012
Dimensionality Dependent PAC-Bayes Margin Bound NIPS 2012
On the Sample Complexity of Robust PCA NIPS 2012
Tight Bounds on Profile Redundancy and Distinguishability NIPS 2012
Risk-Aversion in Multi-armed Bandits NIPS 2012
Non-parametric Approximate Dynamic Programming via the Kernel Method NIPS 2012
Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence NIPS 2012
Mirror Descent Meets Fixed Share (and feels no regret) NIPS 2012
Iterative ranking from pair-wise comparisons NIPS 2012
Learning from Distributions via Support Measure Machines NIPS 2012