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

Faster non-convex federated learning via global and local momentum UAI 2022
Posterior and Computational Uncertainty in Gaussian Processes NIPS 2022
Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums AISTATS 2022
MDPGT: Momentum-Based Decentralized Policy Gradient Tracking AAAI 2022
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation AAAI 2022
Fast Distributionally Robust Learning with Variance-Reduced Min-Max Optimization AISTATS 2022
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology ICML 2022
FedNest: Federated Bilevel, Minimax, and Compositional Optimization ICML 2022
A Unifying Framework for Variance-Reduced Algorithms for Findings Zeroes of Monotone operators JMLR 2022
Marginalized Operators for Off-policy Reinforcement Learning AISTATS 2022
SAN: Stochastic Average Newton Algorithm for Minimizing Finite Sums AISTATS 2022
Amortized Rejection Sampling in Universal Probabilistic Programming AISTATS 2022
Markovian Interference in Experiments NIPS 2022
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization AISTATS 2022
Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Functions NIPS 2022
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization ICML 2022
Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability CVPR 2022
Learning Optimal Flows for Non-Equilibrium Importance Sampling NIPS 2022
The Role of Baselines in Policy Gradient Optimization NIPS 2022
Double Control Variates for Gradient Estimation in Discrete Latent Variable Models AISTATS 2022
Stochastic Variance Reduction for Variational Inequality Methods COLT 2022
Variance Reduced EXTRA and DIGing and Their Optimal Acceleration for Strongly Convex Decentralized Optimization JMLR 2022
Shifted compression framework: generalizations and improvements UAI 2022
Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning ICML 2022
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity ICML 2022