Stochastic Methods

Online Learning under Delayed Feedback ICML 2013 Online Learning with Predictable Sequences COLT 2013 Online Robust PCA via Stochastic Optimization NeurIPS 2013 On the Convergence of Maximum Variance Unfolding JMLR 2013 Open Problem: Fast Stochastic Exp-Concave Optimization COLT 2013 Optimal rates for stochastic convex optimization under Tsybakov noise condition ICML 2013 Passive Learning with Target Risk COLT 2013 Projecting Ising Model Parameters for Fast Mixing NeurIPS 2013 Quantile Regression for Large-scale Applications ICML 2013 Random Spanning Trees and the Prediction of Weighted Graphs JMLR 2013 Robust Data-Driven Dynamic Programming NeurIPS 2013 Scalable Simple Random Sampling and Stratified Sampling ICML 2013 Sensor Selection in High-Dimensional Gaussian Trees with Nuisances NeurIPS 2013 Solving inverse problem of Markov chain with partial observations NeurIPS 2013 Speeding up Permutation Testing in Neuroimaging NeurIPS 2013 Stochastic Convex Optimization with Multiple Objectives NeurIPS 2013 Stochastic Deconvolution CVPR 2013 Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes ICML 2013 Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex NeurIPS 2013 Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization NeurIPS 2013 Stochastic Optimization of PCA with Capped MSG NeurIPS 2013 Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization ICML 2013 Temporal Difference Methods for the Variance of the Reward To Go ICML 2013 The Cross-Entropy Method Optimizes for Quantiles ICML 2013 Thompson Sampling for 1-Dimensional Exponential Family Bandits NeurIPS 2013