Optimization

An Efficient Approach for Assessing Hyperparameter Importance ICML 2014 An Integer Polynomial Programming Based Framework for Lifted MAP Inference NeurIPS 2014 A Physics-Based Model Prior for Object-Oriented MDPs ICML 2014 A Principled Approach for Coarse-to-Fine MAP Inference CVPR 2014 A Procrustean Markov Process for Non-Rigid Structure Recovery CVPR 2014 A provable SVD-based algorithm for learning topics in dominant admixture corpus NeurIPS 2014 A Reliable Effective Terascale Linear Learning System JMLR 2014 A Safe Screening Rule for Sparse Logistic Regression NeurIPS 2014 A* Sampling NeurIPS 2014 A Stepwise uncertainty reduction approach to constrained global optimization AISTATS 2014 Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS) NeurIPS 2014 A Truncated EM Approach for Spike-and-Slab Sparse Coding JMLR 2014 Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning NeurIPS 2014 Bandit Convex Optimization: Towards Tight Bounds NeurIPS 2014 Beyond the Birkhoff Polytope: Convex Relaxations for Vector Permutation Problems NeurIPS 2014 Beyond the Regret Minimization Barrier: Optimal Algorithms for Stochastic Strongly-Convex Optimization JMLR 2014 Biclustering Using Message Passing NeurIPS 2014 Bregman Alternating Direction Method of Multipliers NeurIPS 2014 Coding for Random Projections ICML 2014 Communication-Efficient Distributed Dual Coordinate Ascent NeurIPS 2014 Communication Efficient Distributed Machine Learning with the Parameter Server NeurIPS 2014 Communication-Efficient Distributed Optimization using an Approximate Newton-type Method ICML 2014 Complex Activity Recognition using Granger Constrained DBN (GCDBN) in Sports and Surveillance Video CVPR 2014 Compressed Counting Meets Compressed Sensing COLT 2014 Concavity of reweighted Kikuchi approximation NeurIPS 2014