Statistical Learning

A Statistical Perspective on Randomized Sketching for Ordinary Least-Squares JMLR 2016 Beyond Parity Constraints: Fourier Analysis of Hash Functions for Inference ICML 2016 Bipartite Ranking: a Risk-Theoretic Perspective JMLR 2016 Bootstrap Model Aggregation for Distributed Statistical Learning NeurIPS 2016 Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation JMLR 2016 Clustering with Bregman Divergences: an Asymptotic Analysis NeurIPS 2016 Comparing Different Methods for Analyzing ERP Signals Interspeech 2016 Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications ICML 2016 Consistency and Fluctuations For Stochastic Gradient Langevin Dynamics JMLR 2016 Consistency of Cheeger and Ratio Graph Cuts JMLR 2016 Consistent Distribution-Free K-Sample and Independence Tests for Univariate Random Variables JMLR 2016 Consistent Estimation of Functions of Data Missing Non-Monotonically and Not at Random NeurIPS 2016 Consistent Kernel Mean Estimation for Functions of Random Variables NeurIPS 2016 Convergence of an Alternating Maximization Procedure JMLR 2016 Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated NeurIPS 2016 Data-driven Rank Breaking for Efficient Rank Aggregation JMLR 2016 Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning ICML 2016 Data Selection for Within-Class Covariance Estimation Interspeech 2016 Dealbreaker: A Nonlinear Latent Variable Model for Educational Data ICML 2016 DECOrrelated feature space partitioning for distributed sparse regression NeurIPS 2016 Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing ICML 2016 Discrete Distribution Estimation under Local Privacy ICML 2016 Do GMM Phoneme Classifiers Perceive Synthetic Sibilants as Humans Do? Interspeech 2016 Doubly Robust Off-policy Value Evaluation for Reinforcement Learning ICML 2016 DUAL-LOCO: Distributing Statistical Estimation Using Random Projections AISTATS 2016