Mathematics

Beyond CCA: Moment Matching for Multi-View Models ICML 2016 Beyond Exchangeability: The Chinese Voting Process NeurIPS 2016 Beyond Parity Constraints: Fourier Analysis of Hash Functions for Inference ICML 2016 Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation NeurIPS 2016 Characteristic Kernels and Infinitely Divisible Distributions JMLR 2016 Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation JMLR 2016 Classification of Imbalanced Data with a Geometric Digraph Family JMLR 2016 Clustering Signed Networks with the Geometric Mean of Laplacians NeurIPS 2016 Coda Stop and Taiwan Min Checked Tone Sound Changes Interspeech 2016 Combining Data-Oriented and Process-Oriented Approaches to Modeling Reaction Time Data Interspeech 2016 Combining Energy and Cross-Entropy Analysis for Nuclear Segments Detection Interspeech 2016 Community Detection on Evolving Graphs NeurIPS 2016 Comparing Different Methods for Analyzing ERP Signals Interspeech 2016 Completely random measures for modelling block-structured sparse networks NeurIPS 2016 Computing Lower and Upper Bounds on the Probability of Causal Statements PGM 2016 Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications ICML 2016 Conformal Surface Alignment With Optimal Mobius Search CVPR 2016 Consistent Distribution-Free K-Sample and Independence Tests for Univariate Random Variables JMLR 2016 Consistent Kernel Mean Estimation for Functions of Random Variables NeurIPS 2016 Constraints Based Convex Belief Propagation NeurIPS 2016 Context-Sensitive Inference Rule Discovery: A Graph-Based Method COLING 2016 Control Functionals for Quasi-Monte Carlo Integration AISTATS 2016 Controlling Bias in Adaptive Data Analysis Using Information Theory AISTATS 2016 Convergence guarantees for kernel-based quadrature rules in misspecified settings NeurIPS 2016 Convergence of Stochastic Gradient Descent for PCA ICML 2016