conftrace_

variance reduction

523 papers

Explore in graph

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

Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning ICML 2021
Provably Faster Algorithms for Bilevel Optimization NIPS 2021
Private Stochastic Convex Optimization: Optimal Rates in L1 Geometry ICML 2021
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning ICML 2021
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning NIPS 2021
Variance reduction in frequency estimators via control variates method UAI 2021
An Improved Analysis and Rates for Variance Reduction under Without-replacement Sampling Orders NIPS 2021
Efficient debiased evidence estimation by multilevel Monte Carlo sampling UAI 2021
Settling the Variance of Multi-Agent Policy Gradients NIPS 2021
MAP Propagation Algorithm: Faster Learning with a Team of Reinforcement Learning Agents NIPS 2021
Machine Learning for Variance Reduction in Online Experiments NIPS 2021
On the Convergence of Hamiltonian Monte Carlo with Stochastic Gradients ICML 2021
Improving KernelSHAP: Practical Shapley Value Estimation Using Linear Regression AISTATS 2021
Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD NIPS 2021
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning NIPS 2021
Conditional Poisson Stochastic Beams EMNLP 2021
Deep Bayesian Quadrature Policy Optimization AAAI 2021
Strength in Numbers: Averaging and Clustering Effects in Mixture of Experts for Graph-Based Dependency Parsing ACL 2021
A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization ICML 2021
Reserve Price Optimization for First Price Auctions in Display Advertising ICML 2021
Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs NIPS 2021
On Estimation in Latent Variable Models ICML 2021
L-SVRG and L-Katyusha with Arbitrary Sampling JMLR 2021
Stochastic Proximal AUC Maximization JMLR 2021
Storchastic: A Framework for General Stochastic Automatic Differentiation NIPS 2021