variance reduction

Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective NeurIPS 2023 Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction AAAI 2023 SLIQ: Quantum Image Similarity Networks on Noisy Quantum Computers AAAI 2023 Stable Target Field for Reduced Variance Score Estimation in Diffusion Models ICLR 2023 Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis NeurIPS 2023 Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods AISTATS 2023 Stochastic Gradient Descent under Markovian Sampling Schemes ICML 2023 Stochastic No-regret Learning for General Games with Variance Reduction ICLR 2023 Taylor TD-learning NeurIPS 2023 Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting ICML 2023 Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty AISTATS 2023 Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach NeurIPS 2023 Two-Stage Fine-Tuning for Improved Bias and Variance for Large Pretrained Language Models ACL 2023 Variance-Reduced Conservative Policy Iteration ALT 2023 Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies NeurIPS 2023 Variance Reduced Online Gradient Descent for Kernelized Pairwise Learning with Limited Memory ACML 2023 Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top ICLR 2023 Vector-Valued Control Variates ICML 2023 When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality NeurIPS 2023 Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model NeurIPS 2023 Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis NeurIPS 2023 Zeroth-Order Alternating Gradient Descent Ascent Algorithms for A Class of Nonconvex-Nonconcave Minimax Problems JMLR 2023 Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction ICML 2022 A Data-Augmentation Is Worth A Thousand Samples: Analytical Moments And Sampling-Free Training NeurIPS 2022 A framework for bilevel optimization that enables stochastic and global variance reduction algorithms NeurIPS 2022