← Optimization & Theory
Machine Learning › Optimization & Theory ›

Statistical Learning

4076 directly classified papers

Papers per year

Papers

Sub-Local Constraint-Based Learning of Bayesian Networks Using A Joint Dependence Criterion JMLR 2013
Supervised Binary Hash Code Learning with Jensen Shannon Divergence ICCV 2013
Nonparametric Sparsity and Regularization JMLR 2013
Variable Selection in High-Dimension with Random Designs and Orthogonal Matching Pursuit JMLR 2013
Comment on "Robustness and Regularization of Support Vector Machines" by H. Xu et al. (Journal of Machine Learning Research, vol. 10, pp. 1485-1510, 2009) JMLR 2013
A Widely Applicable Bayesian Information Criterion JMLR 2013
Asymptotic Results on Adaptive False Discovery Rate Controlling Procedures Based on Kernel Estimators JMLR 2013
Predictive PAC Learning and Process Decompositions NIPS 2013
Achievability of Asymptotic Minimax Regret in Online and Batch Prediction ACML 2013
Changepoint Detection over Graphs with the Spectral Scan Statistic AISTATS 2013
Composite Statistical Inference for Semantic Segmentation CVPR 2013
Distribution-Dependent Sample Complexity of Large Margin Learning JMLR 2013
On the Mutual Nearest Neighbors Estimate in Regression JMLR 2013
Separating Signal from Noise Using Patch Recurrence across Scales CVPR 2013
A Plug-in Approach to Neyman-Pearson Classification JMLR 2013
Communication-Efficient Algorithms for Statistical Optimization JMLR 2013
Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction ICML 2013
A Competitive Test for Uniformity of Monotone Distributions AISTATS 2013
Distribution to Distribution Regression ICML 2013
Alleviating Naive Bayes Attribute Independence Assumption by Attribute Weighting JMLR 2013
Transition Matrix Estimation in High Dimensional Time Series ICML 2013
Parsing epileptic events using a Markov switching process model for correlated time series ICML 2013
A Risk Comparison of Ordinary Least Squares vs Ridge Regression JMLR 2013
Near-Optimal Bounds for Cross-Validation via Loss Stability ICML 2013
Central Limit Theorems for Conditional Markov Chains AISTATS 2013