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Theory

4950 directly classified papers

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Papers

On the Convergence Properties of Contrastive Divergence AISTATS 2010
Identifying Cause and Effect on Discrete Data using Additive Noise Models AISTATS 2010
Posterior distributions are computable from predictive distributions AISTATS 2010
The Smooth Curvature Flexure Model: An Accurate, Low-Dimensional Approach for Robot Analysis RSS 2010
Analysis of Multi-stage Convex Relaxation for Sparse Regularization JMLR 2010
Near-optimal Regret Bounds for Reinforcement Learning JMLR 2010
The LASSO risk: asymptotic results and real world examples NIPS 2010
Kernel Partial Least Squares is Universally Consistent AISTATS 2010
Composite Binary Losses JMLR 2010
Empirical Bernstein Inequalities for U-Statistics NIPS 2010
Learnability, Stability and Uniform Convergence JMLR 2010
Why Does Unsupervised Pre-training Help Deep Learning? JMLR 2010
Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity AISTATS 2010
Risk Bounds for Levy Processes in the PAC-Learning Framework AISTATS 2010
A Theory of Multiclass Boosting NIPS 2010
On The Power of Membership Queries in Agnostic Learning JMLR 2009
Measuring model complexity with the prior predictive NIPS 2009
Generalization Bounds for Ranking Algorithms via Algorithmic Stability JMLR 2009
Universal Kernel-Based Learning with Applications to Regular Languages JMLR 2009
Asymptotically Optimal Regularization in Smooth Parametric Models NIPS 2009
Robustness and Regularization of Support Vector Machines JMLR 2009
Deterministic Error Analysis of Support Vector Regression and Related Regularized Kernel Methods JMLR 2009
Strong Limit Theorems for the Bayesian Scoring Criterion in Bayesian Networks JMLR 2009
Sparsistent Learning of Varying-coefficient Models with Structural Changes NIPS 2009
A Fast, Consistent Kernel Two-Sample Test NIPS 2009