Stochastic Methods

Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization NeurIPS 2018 Adaptive SVRG Methods under Error Bound Conditions with Unknown Growth Parameter NeurIPS 2017 A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics COLT 2017 A New Alternating Direction Method for Linear Programming NeurIPS 2017 An experimental analysis of Noise-Contrastive Estimation: the noise distribution matters EACL 2017 An Improved Parametrization and Analysis of the EXP3++ Algorithm for Stochastic and Adversarial Bandits COLT 2017 Asynchronous Stochastic Gradient Descent with Delay Compensation ICML 2017 Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning ICML 2017 Bandit Structured Prediction for Neural Sequence-to-Sequence Learning ACL 2017 Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction NeurIPS 2017 Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent NeurIPS 2017 Coordinated Versus Decentralized Exploration In Multi-Agent Multi-Armed Bandits IJCAI 2017 Distributed Stochastic Variance Reduced Gradient Methods by Sampling Extra Data with Replacement JMLR 2017 Doubly Accelerated Stochastic Variance Reduced Dual Averaging Method for Regularized Empirical Risk Minimization NeurIPS 2017 Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling IJCAI 2017 Evaluating the Variance of Likelihood-Ratio Gradient Estimators ICML 2017 Expectation Propagation with Stochastic Kinetic Model in Complex Interaction Systems NeurIPS 2017 FALKON: An Optimal Large Scale Kernel Method NeurIPS 2017 Fast Stochastic Variance Reduced ADMM for Stochastic Composition Optimization IJCAI 2017 Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting NeurIPS 2017 Fractional Langevin Monte Carlo: Exploring Levy Driven Stochastic Differential Equations for Markov Chain Monte Carlo ICML 2017 Gradient Boosting on Stochastic Data Streams AISTATS 2017 Identifying Outlier Arms in Multi-Armed Bandit NeurIPS 2017 Improving Gibbs Sampler Scan Quality with DoGS ICML 2017 Less than a Single Pass: Stochastically Controlled Stochastic Gradient AISTATS 2017