dual averaging

Direct Distributional Optimization for Provable Alignment of Diffusion Models ICLR 2025 FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization ICLR 2024 Learning Fair Division from Bandit Feedback AISTATS 2024 Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network NeurIPS 2024 A Momentumized, Adaptive, Dual Averaged Gradient Method JMLR 2022 Fast Composite Optimization and Statistical Recovery in Federated Learning ICML 2022 Nonstationary Dual Averaging and Online Fair Allocation NeurIPS 2022 Online Mirror Descent and Dual Averaging: Keeping Pace in the Dynamic Case JMLR 2022 Demystifying and Generalizing BinaryConnect NeurIPS 2021 Federated Composite Optimization ICML 2021 Particle Dual Averaging: Optimization of Mean Field Neural Network with Global Convergence Rate Analysis NeurIPS 2021 Sifting through the noise: Universal first-order methods for stochastic variational inequalities NeurIPS 2021 Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging ICML 2021 Online mirror descent and dual averaging: keeping pace in the dynamic case ICML 2020 Online Non-Convex Optimization with Imperfect Feedback NeurIPS 2020 ANYTIME MINIBATCH: EXPLOITING STRAGGLERS IN ONLINE DISTRIBUTED OPTIMIZATION ICLR 2019 A survey of Algorithms and Analysis for Adaptive Online Learning JMLR 2017 Doubly Accelerated Stochastic Variance Reduced Dual Averaging Method for Regularized Empirical Risk Minimization NeurIPS 2017 Fast Rate Analysis of Some Stochastic Optimization Algorithms ICML 2016 Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions ICML 2016 Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games NeurIPS 2016 The Hedge Algorithm on a Continuum ICML 2015 Sparse Reinforcement Learning via Convex Optimization ICML 2014 Dual Averaging and Proximal Gradient Descent for Online Alternating Direction Multiplier Method ICML 2013 Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning JMLR 2012