Stochastic Methods

Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication ICML 2018 Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization NeurIPS 2018 UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits IJCAI 2018 Unbiased Objective Estimation in Predictive Optimization ICML 2018 Underdamped Langevin MCMC: A non-asymptotic analysis COLT 2018 Variance-Reduced Stochastic Gradient Descent on Streaming Data NeurIPS 2018 Weighted SGD for ℓ_p Regression with Randomized Preconditioning JMLR 2018 Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates NeurIPS 2018 Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications AISTATS 2018 Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization NeurIPS 2018 Accelerated consensus via Min-Sum Splitting NeurIPS 2017 Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization IJCAI 2017 Acceleration and Averaging in Stochastic Descent Dynamics NeurIPS 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 A Fast Stochastic Contact Model for Planar Pushing and Grasping: Theory and Experimental Validation RSS 2017 A KL-LUCB algorithm for Large-Scale Crowdsourcing NeurIPS 2017 A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent NeurIPS 2017 A Quantum-Inspired Ensemble Method and Quantum-Inspired Forest Regressors ACML 2017 ASAGA: Asynchronous Parallel SAGA AISTATS 2017 A Scale Free Algorithm for Stochastic Bandits with Bounded Kurtosis NeurIPS 2017 A Simulated Annealing Based Inexact Oracle for Wasserstein Loss Minimization ICML 2017 A survey of Algorithms and Analysis for Adaptive Online Learning JMLR 2017 A Unified Analysis of Stochastic Optimization Methods Using Jump System Theory and Quadratic Constraints COLT 2017