conftrace_

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

Direct Acceleration of SAGA using Sampled Negative Momentum AISTATS 2019
Proximal Splitting Meets Variance Reduction AISTATS 2019
Distributionally Robust Submodular Maximization AISTATS 2019
DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous Distributed Optimization JMLR 2019
Control Regularization for Reduced Variance Reinforcement Learning ICML 2019
More Efficient Off-Policy Evaluation through Regularized Targeted Learning ICML 2019
Online Variance Reduction with Mixtures ICML 2019
Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization ICML 2019
Rao-Blackwellized Stochastic Gradients for Discrete Distributions ICML 2019
A Composite Randomized Incremental Gradient Method ICML 2019
Katalyst: Boosting Convex Katayusha for Non-Convex Problems with a Large Condition Number ICML 2019
Curvature-Exploiting Acceleration of Elastic Net Computations ICML 2019
Adaptive Antithetic Sampling for Variance Reduction ICML 2019
Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator ICML 2019
Optimal Mini-Batch and Step Sizes for SAGA ICML 2019
Nonconvex Variance Reduced Optimization with Arbitrary Sampling ICML 2019
Decentralized Optimization with Edge Sampling IJCAI 2019
A Non–Convex Optimization Approach to Correlation Clustering AAAI 2019
Reducing the variance in online optimization by transporting past gradients NIPS 2019
Online sampling from log-concave distributions NIPS 2019
SpiderBoost and Momentum: Faster Variance Reduction Algorithms NIPS 2019
Reducing Noise in GAN Training with Variance Reduced Extragradient NIPS 2019
Stochastic Variance-Reduced Cubic Regularization Methods JMLR 2019
More Efficient Estimation for Logistic Regression with Optimal Subsamples JMLR 2019
Hamiltonian Monte Carlo with Energy Conserving Subsampling JMLR 2019