Mathematics & Optimization

Adaptive Clustering through Semidefinite Programming NeurIPS 2017 Adaptive Randomized Dimension Reduction on Massive Data JMLR 2017 Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation CVPR 2017 Adaptive Sampling Probabilities for Non-Smooth Optimization ICML 2017 Adaptive SVRG Methods under Error Bound Conditions with Unknown Growth Parameter NeurIPS 2017 AdaptSize: Orchestrating the Hot Object Memory Cache in a Content Delivery Network NSDI 2017 Additive Component Analysis CVPR 2017 A Decomposition of Forecast Error in Prediction Markets NeurIPS 2017 A Delay-Flexible Stereo Acoustic Echo Cancellation for DFT-Based In-Car Communication (ICC) Systems Interspeech 2017 A distributed block coordinate descent method for training l1 regularized linear classifiers JMLR 2017 A Distribution Free Formulation of the Total Variability Model Interspeech 2017 ADMM without a Fixed Penalty Parameter: Faster Convergence with New Adaptive Penalization NeurIPS 2017 A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems CVPR 2017 A Fast Stochastic Contact Model for Planar Pushing and Grasping: Theory and Experimental Validation RSS 2017 Affine-Invariant Online Optimization and the Low-rank Experts Problem NeurIPS 2017 Affinity Clustering: Hierarchical Clustering at Scale NeurIPS 2017 A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control NeurIPS 2017 A Framework for Optimal Matching for Causal Inference AISTATS 2017 A General Characterization of the Statistical Query Complexity COLT 2017 A General Framework for Curve and Surface Comparison and Registration With Oriented Varifolds CVPR 2017 A General Notion of Equivalence for Abstract Argumentation IJCAI 2017 A graph-theoretic approach to multitasking NeurIPS 2017 A Greedy Approach for Budgeted Maximum Inner Product Search NeurIPS 2017 A KL-LUCB algorithm for Large-Scale Crowdsourcing NeurIPS 2017 Algebraic Variety Models for High-Rank Matrix Completion ICML 2017