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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

Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity ICML 2022
Optimal Estimation of Policy Gradient via Double Fitted Iteration ICML 2022
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning ICML 2022
A Unifying Framework for Variance-Reduced Algorithms for Findings Zeroes of Monotone operators JMLR 2022
Variance Reduced EXTRA and DIGing and Their Optimal Acceleration for Strongly Convex Decentralized Optimization JMLR 2022
PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation ICML 2022
Double Control Variates for Gradient Estimation in Discrete Latent Variable Models AISTATS 2022
Training Discrete Deep Generative Models via Gapped Straight-Through Estimator ICML 2022
SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems NIPS 2022
Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization NIPS 2022
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization AISTATS 2022
Markovian Interference in Experiments NIPS 2022
Hindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units AAAI 2022
Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Functions NIPS 2022
The Role of Baselines in Policy Gradient Optimization NIPS 2022
Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization JMLR 2022
Stochastic DCA with Variance Reduction and Applications in Machine Learning JMLR 2022
Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters ICML 2022
Sharp Analysis of Stochastic Optimization under Global Kurdyka-Lojasiewicz Inequality NIPS 2022
ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables ICML 2021
Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits JMLR 2021
Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs NIPS 2021
Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization ICML 2021
Storchastic: A Framework for General Stochastic Automatic Differentiation NIPS 2021
CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator NIPS 2021