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variance reduction

523 papers

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Also known as

VR

Co-occurring keywords

stochastic optimization (1060) stochastic gradient descent (1091) stochastic gradient (296) reinforcement learning (4352) policy gradient (520) nonconvex optimization (316) gradient estimation (150) non-convex optimization (547) importance sampling (318) control variate (54)

Papers

Nonlinear Acceleration of Stochastic Algorithms NIPS 2017
CPSG-MCMC: Clustering-Based Preprocessing method for Stochastic Gradient MCMC AISTATS 2017
Finite-sum Composition Optimization via Variance Reduced Gradient Descent AISTATS 2017
Zap Q-Learning NIPS 2017
Doubly Accelerated Stochastic Variance Reduced Dual Averaging Method for Regularized Empirical Risk Minimization NIPS 2017
SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient ICML 2017
Faster and Non-ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers NIPS 2017
Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization ICML 2017
Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure NIPS 2017
Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization NIPS 2017
A Unified Variance Reduction-Based Framework for Nonconvex Low-Rank Matrix Recovery ICML 2017
High-Dimensional Variance-Reduced Stochastic Gradient Expectation-Maximization Algorithm ICML 2017
Evaluating the Variance of Likelihood-Ratio Gradient Estimators ICML 2017
Non-convex Finite-Sum Optimization Via SCSG Methods NIPS 2017
Inter-Speaker Variability: Speaker Normalisation and Quantitative Estimation of Articulatory Invariants in Speech Production for French INTERSPEECH 2017
Less than a Single Pass: Stochastically Controlled Stochastic Gradient AISTATS 2017
Memory and Communication Efficient Distributed Stochastic Optimization with Minibatch Prox COLT 2017
Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction NIPS 2017
LazySVD: Even Faster SVD Decomposition Yet Without Agonizing Pain NIPS 2016
A Linearly-Convergent Stochastic L-BFGS Algorithm AISTATS 2016
Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters NIPS 2016
Bootstrap Model Aggregation for Distributed Statistical Learning NIPS 2016
Stochastic Variance Reduction for Nonconvex Optimization ICML 2016
Variance Reduction for Faster Non-Convex Optimization ICML 2016
Exploration of the (Non-)Asymptotic Bias and Variance of Stochastic Gradient Langevin Dynamics JMLR 2016