Statistical Learning

Competitive Distribution Estimation: Why is Good-Turing Good NeurIPS 2015 Consistency of structured output learning with missing labels ACML 2015 Consistent Multilabel Classification NeurIPS 2015 Convergence Rates for Persistence Diagram Estimation in Topological Data Analysis JMLR 2015 Convergence Rates of Active Learning for Maximum Likelihood Estimation NeurIPS 2015 Convolutional spike-triggered covariance analysis for neural subunit models NeurIPS 2015 Dealing with small data: On the generalization of context trees ICML 2015 Efficient Illuminant Estimation for Color Constancy Using Grey Pixels CVPR 2015 Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces NeurIPS 2015 Estimating Mixture Models via Mixtures of Polynomials NeurIPS 2015 Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence AISTATS 2015 Existence and Uniqueness of Proper Scoring Rules JMLR 2015 Fast 2D Border Ownership Assignment CVPR 2015 Fast and Accurate Inference of Plackett–Luce Models NeurIPS 2015 Fast Classification Rates for High-dimensional Gaussian Generative Models NeurIPS 2015 Fast Cross-Validation via Sequential Testing JMLR 2015 Fast Rates in Statistical and Online Learning JMLR 2015 Fast Two-Sample Testing with Analytic Representations of Probability Measures NeurIPS 2015 Flexible High-Dimensional Classification Machines and Their Asymptotic Properties JMLR 2015 Generalization in Adaptive Data Analysis and Holdout Reuse NeurIPS 2015 Generalized Linear Models for Aggregated Data AISTATS 2015 Generative Moment Matching Networks ICML 2015 Graphical Models via Univariate Exponential Family Distributions JMLR 2015 High Confidence Policy Improvement ICML 2015 High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality NeurIPS 2015