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Statistical Learning

4076 directly classified papers

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Papers

Statistical Model Criticism using Kernel Two Sample Tests NIPS 2015
Convergence Rates of Active Learning for Maximum Likelihood Estimation NIPS 2015
Fast Two-Sample Testing with Analytic Representations of Probability Measures NIPS 2015
Alternating Minimization for Regression Problems with Vector-valued Outputs NIPS 2015
On Learning Distributions from their Samples COLT 2015
Stochastic Block Model and Community Detection in Sparse Graphs: A spectral algorithm with optimal rate of recovery COLT 2015
Regularized EM Algorithms: A Unified Framework and Statistical Guarantees NIPS 2015
Optimal Ridge Detection using Coverage Risk NIPS 2015
Estimating Mixture Models via Mixtures of Polynomials NIPS 2015
Fast Classification Rates for High-dimensional Gaussian Generative Models NIPS 2015
Optimal Bayesian Estimation in Random Covariate Design with a Rescaled Gaussian Process Prior JMLR 2015
Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence AISTATS 2015
On Consistent Surrogate Risk Minimization and Property Elicitation COLT 2015
Consistent Multilabel Classification NIPS 2015
Principal Differences Analysis: Interpretable Characterization of Differences between Distributions NIPS 2015
Generalization in Adaptive Data Analysis and Holdout Reuse NIPS 2015
Batch Learning from Logged Bandit Feedback through Counterfactual Risk Minimization JMLR 2015
Convolutional spike-triggered covariance analysis for neural subunit models NIPS 2015
Max vs Min: Tensor Decomposition and ICA with nearly Linear Sample Complexity COLT 2015
Robust Portfolio Optimization NIPS 2015
Less is More: Nyström Computational Regularization NIPS 2015
Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations NIPS 2015
b-bit Marginal Regression NIPS 2015
Robust Estimation of Transition Matrices in High Dimensional Heavy-tailed Vector Autoregressive Processes ICML 2015
A Bayesian nonparametric procedure for comparing algorithms ICML 2015