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Learning Theory

5,334 papers

Papers per year

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466
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Papers

Kernels and learning curves for Gaussian process regression on random graphs NIPS 2009
Data-driven calibration of linear estimators with minimal penalties NIPS 2009
STDP enables spiking neurons to detect hidden causes of their inputs NIPS 2009
Fast Learning from Non-i.i.d. Observations NIPS 2009
Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness NIPS 2009
Sufficient Conditions for Agnostic Active Learnable NIPS 2009
Slow Learners are Fast NIPS 2009
Discrete MDL Predicts in Total Variation NIPS 2009
Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning NIPS 2009
Local Rules for Global MAP: When Do They Work ? NIPS 2009
Human Rademacher Complexity NIPS 2009
Measuring model complexity with the prior predictive NIPS 2009
Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes NIPS 2009
Markov Properties for Linear Causal Models with Correlated Errors JMLR 2009
On The Power of Membership Queries in Agnostic Learning JMLR 2009
Controlling the False Discovery Rate of the Association/Causality Structure Learned with the PC Algorithm JMLR 2009
On the Consistency of Feature Selection using Greedy Least Squares Regression JMLR 2009
Consistency and Localizability JMLR 2009
On Uniform Deviations of General Empirical Risks with Unboundedness, Dependence, and High Dimensionality JMLR 2009
Learning Permutations with Exponential Weights JMLR 2009
Learning Acyclic Probabilistic Circuits Using Test Paths JMLR 2009
Provably Efficient Learning with Typed Parametric Models JMLR 2009
Reinforcement Learning in Finite MDPs: PAC Analysis JMLR 2009
Prediction With Expert Advice For The Brier Game JMLR 2009
Learning Halfspaces with Malicious Noise JMLR 2009