variance reduction

Building Persona Consistent Dialogue Agents with Offline Reinforcement Learning EMNLP 2023 Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator ICML 2023 Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems NeurIPS 2023 Convergence of mean-field Langevin dynamics: time-space discretization, stochastic gradient, and variance reduction NeurIPS 2023 Correcting discount-factor mismatch in on-policy policy gradient methods ICML 2023 Corruption-Tolerant Algorithms for Generalized Linear Models AAAI 2023 Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization ICML 2023 Debiasing Conditional Stochastic Optimization NeurIPS 2023 Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models ICLR 2023 DELTA: Diverse Client Sampling for Fasting Federated Learning NeurIPS 2023 Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel NeurIPS 2023 Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick NeurIPS 2023 Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits AAAI 2023 Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence JMLR 2023 Faster Adaptive Federated Learning AAAI 2023 Faster federated optimization under second-order similarity ICLR 2023 Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization ICML 2023 Fast Heterogeneous Federated Learning with Hybrid Client Selection UAI 2023 Federated Conditional Stochastic Optimization NeurIPS 2023 Federated Domain Generalization With Generalization Adjustment CVPR 2023 FedGS: Federated Graph-Based Sampling with Arbitrary Client Availability AAAI 2023 Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization ICML 2023 Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping AAAI 2023 Gradient Informed Proximal Policy Optimization NeurIPS 2023 HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent AISTATS 2023