convergence analysis

On the Linear Convergence of Policy Gradient Methods for Finite MDPs AISTATS 2021 Particle Dual Averaging: Optimization of Mean Field Neural Network with Global Convergence Rate Analysis NeurIPS 2021 PFedAtt: Attention-based Personalized Federated Learning on Heterogeneous Clients ACML 2021 Prosodic Accommodation in Face-to-Face and Telephone Dialogues Interspeech 2021 Random Shuffling Beats SGD Only After Many Epochs on Ill-Conditioned Problems NeurIPS 2021 RMSprop converges with proper hyper-parameter ICLR 2021 Stability and Convergence of Stochastic Gradient Clipping: Beyond Lipschitz Continuity and Smoothness ICML 2021 Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity NeurIPS 2021 The Influence of Memory in Multi-Agent Consensus AAAI 2021 The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets ICML 2021 The Power of Factorial Powers: New Parameter settings for (Stochastic) Optimization ACML 2021 Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond NeurIPS 2021 Understanding How Over-Parametrization Leads to Acceleration: A case of learning a single teacher neuron ACML 2021 Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds ACML 2021 AdaGrad stepsizes: Sharp convergence over nonconvex landscapes JMLR 2020 A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms AISTATS 2020 A General System of Differential Equations to Model First-Order Adaptive Algorithms JMLR 2020 A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton ICML 2020 Almost Group Envy-free Allocation of Indivisible Goods and Chores IJCAI 2020 An Improved Analysis of Stochastic Gradient Descent with Momentum NeurIPS 2020 An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods NeurIPS 2020 A Stochastic Derivative Free Optimization Method with Momentum ICLR 2020 A Unified Switching System Perspective and Convergence Analysis of Q-Learning Algorithms NeurIPS 2020 A Unified Theory of Decentralized SGD with Changing Topology and Local Updates ICML 2020 A Unified Theory of SGD: Variance Reduction, Sampling, Quantization and Coordinate Descent AISTATS 2020