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

Self-Guided Evolution Strategies with Historical Estimated Gradients IJCAI 2020
Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RL IJCAI 2020
ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization JMLR 2020
Variance Reduced Coordinate Descent with Acceleration: New Method With a Surprising Application to Finite-Sum Problems ICML 2020
Low Bias Low Variance Gradient Estimates for Boolean Stochastic Networks ICML 2020
Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems NIPS 2020
Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis NIPS 2020
A Characterization of Mean Squared Error for Estimator with Bagging AISTATS 2020
Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization AAAI 2019
A unified variance-reduced accelerated gradient method for convex optimization NIPS 2019
Momentum-Based Variance Reduction in Non-Convex SGD NIPS 2019
Stochastic Gradient Hamiltonian Monte Carlo Methods with Recursive Variance Reduction NIPS 2019
Towards closing the gap between the theory and practice of SVRG NIPS 2019
A Universally Optimal Multistage Accelerated Stochastic Gradient Method NIPS 2019
Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization NIPS 2019
Re-randomized Densification for One Permutation Hashing and Bin-wise Consistent Weighted Sampling NIPS 2019
A Stochastic Composite Gradient Method with Incremental Variance Reduction NIPS 2019
Variance reduction properties of the reparameterization trick AISTATS 2019
ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables ICML 2019
Pathwise Derivatives for Multivariate Distributions AISTATS 2019
Hessian Aided Policy Gradient ICML 2019
A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs ICML 2019
Adaptive Hashing for Model Counting UAI 2019
Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization COLT 2019
Taming MAML: Efficient unbiased meta-reinforcement learning ICML 2019