Stochastic Methods

Distributed Flexible Nonlinear Tensor Factorization NeurIPS 2016 d-VMP: Distributed Variational Message Passing PGM 2016 Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters NeurIPS 2016 Random Features for Sparse Signal Classification CVPR 2016 Using Spatial Order to Boost the Elimination of Incorrect Feature Matches CVPR 2016 A Complete Recipe for Stochastic Gradient MCMC NeurIPS 2015 Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization NeurIPS 2015 Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients NeurIPS 2015 StopWasting My Gradients: Practical SVRG NeurIPS 2015 Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms NeurIPS 2015 Variance Reduced Stochastic Gradient Descent with Neighbors NeurIPS 2015 Variational Dropout and the Local Reparameterization Trick NeurIPS 2015 Stochastic Proximal Gradient Descent with Acceleration Techniques NeurIPS 2014 Stochastic Optimization of PCA with Capped MSG NeurIPS 2013 Variance Reduction for Stochastic Gradient Optimization NeurIPS 2013 A Stochastic Gradient Method with an Exponential Convergence _Rate for Finite Training Sets NeurIPS 2012 Deterministic Single-Pass Algorithm for LDA NeurIPS 2010 LSTD with Random Projections NeurIPS 2010 Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains NeurIPS 2007