Mathematics & Optimization

An Integer Polynomial Programming Based Framework for Lifted MAP Inference NeurIPS 2014 An LP for Sequential Learning Under Budgets AISTATS 2014 An Online Sparsity-Cognizant Loop-Closure Algorithm for Visual Navigation RSS 2014 A Novel M-Estimator for Robust PCA JMLR 2014 Anti-differentiating approximation algorithms:A case study with min-cuts, spectral, and flow ICML 2014 Approachability in unknown games: Online learning meets multi-objective optimization COLT 2014 Approximate Slice Sampling for Bayesian Posterior Inference AISTATS 2014 Approximating Hierarchical MV-sets for Hierarchical Clustering NeurIPS 2014 Approximation Analysis of Stochastic Gradient Langevin Dynamics by using Fokker-Planck Equation and Ito Process ICML 2014 A Primal-Dual Algorithm for Higher-Order Multilabel Markov Random Fields CVPR 2014 A Principled Approach for Coarse-to-Fine MAP Inference CVPR 2014 A Representation Theory for Ranking Functions NeurIPS 2014 A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs NeurIPS 2014 A Riemannian Framework for Matching Point Clouds Represented by the Schrodinger Distance Transform CVPR 2014 A Safe Screening Rule for Sparse Logistic Regression NeurIPS 2014 A* Sampling NeurIPS 2014 A second-order bound with excess losses COLT 2014 A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data ICML 2014 A Statistical Decision-Theoretic Framework for Social Choice NeurIPS 2014 A Statistical Model for Event Sequence Data AISTATS 2014 A statistical model for tensor PCA NeurIPS 2014 A Statistical Perspective on Algorithmic Leveraging ICML 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 Asynchronous Anytime Sequential Monte Carlo NeurIPS 2014