Mathematics & Optimization

Boolean Matrix Factorization and Noisy Completion via Message Passing ICML 2016 Bootstrap-Based Regularization for Low-Rank Matrix Estimation JMLR 2016 Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation NeurIPS 2016 Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization AISTATS 2016 Budgeted stream-based active learning via adaptive submodular maximization NeurIPS 2016 Catching heuristics are optimal control policies NeurIPS 2016 Causal meets Submodular: Subset Selection with Directed Information NeurIPS 2016 Chained Gaussian Processes AISTATS 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 CMA-ES with Optimal Covariance Update and Storage Complexity NeurIPS 2016 Coda Stop and Taiwan Min Checked Tone Sound Changes Interspeech 2016 Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions NeurIPS 2016 Coin Betting and Parameter-Free Online Learning NeurIPS 2016 Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms JMLR 2016 Combinatorial Multi-Armed Bandit with General Reward Functions NeurIPS 2016 Combinatorial semi-bandit with known covariance NeurIPS 2016 Combined Optimization and Reinforcement Learning for Manipulation Skills RSS 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