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Learning Theory

5312 directly classified papers

Papers per year

Papers

Model-based Reinforcement Learning and the Eluder Dimension NIPS 2014
On the Computational Efficiency of Training Neural Networks NIPS 2014
On the Number of Linear Regions of Deep Neural Networks NIPS 2014
Do Deep Nets Really Need to be Deep? NIPS 2014
Low-Rank Spectral Learning AISTATS 2014
Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning ICML 2014
Learning to locate from demonstrated searches RSS 2014
A Unified Framework for Consistency of Regularized Loss Minimizers ICML 2014
Learning on graphs using Orthonormal Representation is Statistically Consistent NIPS 2014
Sparsity Regret Bounds for Individual Sequences in Online Linear Regression JMLR 2013
Consistency of Online Random Forests ICML 2013
Statistical Active Learning Algorithms NIPS 2013
Achievability of Asymptotic Minimax Regret in Online and Batch Prediction ACML 2013
Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction ICML 2013
Machine Learning with Operational Costs JMLR 2013
Conjugate Relation between Loss Functions and Uncertainty Sets in Classification Problems JMLR 2013
Manifold Regularization and Semi-supervised Learning: Some Theoretical Analyses JMLR 2013
Lower Bounds and Selectivity of Weak-Consistent Policies in Stochastic Multi-Armed Bandit Problem JMLR 2013
Universal Consistency of Localized Versions of Regularized Kernel Methods JMLR 2013
Near-Optimal Bounds for Cross-Validation via Loss Stability ICML 2013
Better Rates for Any Adversarial Deterministic MDP ICML 2013
On the Learnability of Shuffle Ideals JMLR 2013
Learning Triggering Kernels for Multi-dimensional Hawkes Processes ICML 2013
Online learning in episodic Markovian decision processes by relative entropy policy search NIPS 2013
Large-Scale Bandit Problems and KWIK Learning ICML 2013