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

Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick NIPS 2023
Fast Heterogeneous Federated Learning with Hybrid Client Selection UAI 2023
AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization AISTATS 2023
Breaking the Lower Bound with (Little) Structure: Acceleration in Non-Convex Stochastic Optimization with Heavy-Tailed Noise COLT 2023
A Computation and Communication Efficient Method for Distributed Nonconvex Problems in the Partial Participation Setting NIPS 2023
Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making NIPS 2023
Correcting discount-factor mismatch in on-policy policy gradient methods ICML 2023
Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel NIPS 2023
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model NIPS 2023
Knowledge Distillation Performs Partial Variance Reduction NIPS 2023
On Many-Actions Policy Gradient ICML 2023
Convergence of mean-field Langevin dynamics: time-space discretization, stochastic gradient, and variance reduction NIPS 2023
On the Effectiveness of Partial Variance Reduction in Federated Learning With Heterogeneous Data CVPR 2023
Federated Conditional Stochastic Optimization NIPS 2023
Optimal randomized multilevel Monte Carlo for repeatedly nested expectations ICML 2023
Quantile Credit Assignment ICML 2023
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization ICML 2023
Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods AISTATS 2023
Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space ICML 2023
Model-based Reinforcement Learning with Scalable Composite Policy Gradient Estimators ICML 2023
Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator ICML 2023
Vector-Valued Control Variates ICML 2023
Stochastic Gradient Descent under Markovian Sampling Schemes ICML 2023
Variance Reduced Online Gradient Descent for Kernelized Pairwise Learning with Limited Memory ACML 2023
Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem NIPS 2023