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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

Provably Faster Algorithms for Bilevel Optimization NIPS 2021
Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning IJCAI 2021
Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD NIPS 2021
Independence-aware Advantage Estimation IJCAI 2021
ErrorCompensatedX: error compensation for variance reduced algorithms NIPS 2021
Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction ICML 2021
Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment IJCAI 2021
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums ICML 2021
STORM+: Fully Adaptive SGD with Recursive Momentum for Nonconvex Optimization NIPS 2021
An Improved Analysis and Rates for Variance Reduction under Without-replacement Sampling Orders NIPS 2021
Improving Hashing Algorithms for Similarity Search via MLE and the Control Variates Trick ACML 2021
The Power of Factorial Powers: New Parameter settings for (Stochastic) Optimization ACML 2021
Multilevel Monte Carlo Variational Inference JMLR 2021
Variance Reduced Training with Stratified Sampling for Forecasting Models ICML 2021
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning NIPS 2021
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization NIPS 2021
Private Stochastic Convex Optimization: Optimal Rates in L1 Geometry ICML 2021
Machine Learning for Variance Reduction in Online Experiments NIPS 2021
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning ICML 2021
A Faster Decentralized Algorithm for Nonconvex Minimax Problems NIPS 2021
Strength in Numbers: Averaging and Clustering Effects in Mixture of Experts for Graph-Based Dependency Parsing IJCNLP 2021
Maximal Couplings of the Metropolis-Hastings Algorithm AISTATS 2021
Conditional Poisson Stochastic Beams EMNLP 2021
Strength in Numbers: Averaging and Clustering Effects in Mixture of Experts for Graph-Based Dependency Parsing ACL 2021
Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems NIPS 2021