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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

Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods AISTATS 2018
Accelerated Stochastic Power Iteration AISTATS 2018
Asynchronous Doubly Stochastic Group Regularized Learning AISTATS 2018
Online Variance Reduction for Stochastic Optimization COLT 2018
The promises and pitfalls of Stochastic Gradient Langevin Dynamics NIPS 2018
Policy Optimization with Second-Order Advantage Information IJCAI 2018
Stochastic Variance-Reduced Policy Gradient ICML 2018
$D^2$: Decentralized Training over Decentralized Data ICML 2018
Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning ICML 2018
Non-convex Conditional Gradient Sliding ICML 2018
Not All Samples Are Created Equal: Deep Learning with Importance Sampling ICML 2018
Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction AISTATS 2018
Fast Variance Reduction Method with Stochastic Batch Size ICML 2018
On Truly Block Eigensolvers via Riemannian Optimization AISTATS 2018
A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization NIPS 2018
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization NIPS 2018
Stochastic Nested Variance Reduction for Nonconvex Optimization NIPS 2018
Distributed Stochastic Optimization via Adaptive SGD NIPS 2018
SEGA: Variance Reduction via Gradient Sketching NIPS 2018
Reparameterization Gradient for Non-differentiable Models NIPS 2018
Reward Estimation for Variance Reduction in Deep Reinforcement Learning CORL 2018
Riemannian Stochastic Recursive Gradient Algorithm ICML 2018
Stochastic Chebyshev Gradient Descent for Spectral Optimization NIPS 2018
Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data ICML 2018
Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity NIPS 2018