Mathematics & Optimization

Regularized Nonlinear Acceleration NeurIPS 2016 Relaxation-Based Preprocessing Techniques for Markov Random Field Inference CVPR 2016 Reshaped Wirtinger Flow for Solving Quadratic System of Equations NeurIPS 2016 Revealing Graph Bandits for Maximizing Local Influence AISTATS 2016 Revisiting the Nyström Method for Improved Large-scale Machine Learning JMLR 2016 Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds NeurIPS 2016 Robust Phase-Space Planning for Agile Legged Locomotion over Various Terrain Topologies RSS 2016 Robust Spectral Detection of Global Structures in the Data by Learning a Regularization NeurIPS 2016 Rounding-based Moves for Semi-Metric Labeling JMLR 2016 Routing Autonomous Vehicles in Congested Transportation Networks: Structural Properties and Coordination Algorithms RSS 2016 Sample Complexity of Automated Mechanism Design NeurIPS 2016 Scalable and Sound Low-Rank Tensor Learning AISTATS 2016 Scalable Discrete Sampling as a Multi-Armed Bandit Problem ICML 2016 Scalable Exemplar Clustering and Facility Location via Augmented Block Coordinate Descent with Column Generation AISTATS 2016 Scalable MAP inference in Bayesian networks based on a Map-Reduce approach PGM 2016 Scaling-up Empirical Risk Minimization: Optimization of Incomplete U-statistics JMLR 2016 Scene Labeling Using Sparse Precision Matrix CVPR 2016 SDNA: Stochastic Dual Newton Ascent for Empirical Risk Minimization ICML 2016 SDP Relaxation with Randomized Rounding for Energy Disaggregation NeurIPS 2016 Self-Adaptive Matrix Completion for Heart Rate Estimation From Face Videos Under Realistic Conditions CVPR 2016 Semidefinite Programs for Exact Recovery of a Hidden Community COLT 2016 Semiparametric Differential Graph Models NeurIPS 2016 Shape Analysis With Hyperbolic Wasserstein Distance CVPR 2016 Shifting Regret, Mirror Descent, and Matrices ICML 2016 Short-Dot: Computing Large Linear Transforms Distributedly Using Coded Short Dot Products NeurIPS 2016