Mathematics & Optimization

A Unified Framework for Nonconvex Low-Rank plus Sparse Matrix Recovery AISTATS 2018 A Unified Framework for Structured Low-rank Matrix Learning ICML 2018 A Unifying Contrast Maximization Framework for Event Cameras, With Applications to Motion, Depth, and Optical Flow Estimation CVPR 2018 Automatic Assessment of Conceptual Text Complexity Using Knowledge Graphs COLING 2018 Automating Bayesian optimization with Bayesian optimization NeurIPS 2018 A Variable Stiffness Gripper with Antagonistic Magnetic Springs for Enhancing Manipulation RSS 2018 Averaging Stochastic Gradient Descent on Riemannian Manifolds COLT 2018 Axiomatization of the PageRank Centrality IJCAI 2018 Bandit Learning in Concave N-Person Games NeurIPS 2018 Bandit Learning with Positive Externalities NeurIPS 2018 Bandit Regret Scaling with the Effective Loss Range ALT 2018 Bandits with Delayed, Aggregated Anonymous Feedback ICML 2018 Baseline Desensitizing in Translation Averaging CVPR 2018 Batched Large-scale Bayesian Optimization in High-dimensional Spaces AISTATS 2018 Batch-Expansion Training: An Efficient Optimization Framework AISTATS 2018 Bayesian Active Edge Evaluation on Expensive Graphs IJCAI 2018 Bayesian Model Selection Approach to Boundary Detection with Non-Local Priors NeurIPS 2018 Bayesian Nonparametric Spectral Estimation NeurIPS 2018 Bayesian Optimization of Combinatorial Structures ICML 2018 Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC NeurIPS 2018 Bayesian Quadrature for Multiple Related Integrals ICML 2018 Beating Monte Carlo Integration: a Nonasymptotic Study of Kernel Smoothing Methods AISTATS 2018 Behavior of Analogical Inference w.r.t. Boolean Functions IJCAI 2018 Belief Update in the Horn Fragment IJCAI 2018 Benefits of over-parameterization with EM NeurIPS 2018