← Optimization & Theory
Machine Learning › Optimization & Theory ›

Statistical Learning

4076 directly classified papers

Papers per year

Papers

Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings NIPS 2014
Time--Data Tradeoffs by Aggressive Smoothing NIPS 2014
Estimating Dependency Structures for non-Gaussian Components with Linear and Energy Correlations AISTATS 2014
Cone-Constrained Principal Component Analysis NIPS 2014
Distributed Estimation, Information Loss and Exponential Families NIPS 2014
Active Regression by Stratification NIPS 2014
Spectral Methods for Supervised Topic Models NIPS 2014
Generalized Dantzig Selector: Application to the k-support norm NIPS 2014
Learning Mixtures of Linear Classifiers ICML 2014
A PAC-Bayesian bound for Lifelong Learning ICML 2014
Exponential Family Matrix Completion under Structural Constraints ICML 2014
A Unifying View of Representer Theorems ICML 2014
Methods of Moments for Learning Stochastic Languages: Unified Presentation and Empirical Comparison ICML 2014
A Bayesian Wilcoxon signed-rank test based on the Dirichlet process ICML 2014
Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis ICML 2014
Statistical analysis of stochastic gradient methods for generalized linear models ICML 2014
Agnostic Bayesian Learning of Ensembles ICML 2014
Consistency of Causal Inference under the Additive Noise Model ICML 2014
A Kernel Independence Test for Random Processes ICML 2014
The Falling Factorial Basis and Its Statistical Applications ICML 2014
Multivariate Maximal Correlation Analysis ICML 2014
Multiple Testing under Dependence via Semiparametric Graphical Models ICML 2014
A Unified Framework for Consistency of Regularized Loss Minimizers ICML 2014
Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression AISTATS 2014
Bayes Merging of Multiple Vocabularies for Scalable Image Retrieval CVPR 2014