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convergence analysis

394 papers

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stochastic gradient descent (1088) convergence rate (606) stochastic optimization (1060) non-convex optimization (546) gradient descent (1143) federated learning (1320) neural network optimization (1293) reinforcement learning (4122) distributed learning (563) neural network (6616)

Papers

Fast Federated Learning in the Presence of Arbitrary Device Unavailability NIPS 2021
Non-asymptotic convergence bounds for Wasserstein approximation using point clouds NIPS 2021
Alternating Direction Method of Multipliers for Quantization AISTATS 2021
Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems AAAI 2021
Learning Graph Neural Networks with Approximate Gradient Descent AAAI 2021
An Optimistic Acceleration of AMSGrad for Nonconvex Optimization ACML 2021
Accelerated Concurrent Learning Algorithms via Data-Driven Hybrid Dynamics and Nonsmooth ODEs L4DC 2021
Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity NIPS 2021
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters NIPS 2020
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton ICML 2020
Lambda-Policy Iteration with Randomization for Contractive Models with Infinite Policies: Well-Posedness and Convergence L4DC 2020
Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees L4DC 2020
On Convergence and Generalization of Dropout Training NIPS 2020
Stochastic Hamiltonian Gradient Methods for Smooth Games ICML 2020
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms AISTATS 2020
A Unified Theory of SGD: Variance Reduction, Sampling, Quantization and Coordinate Descent AISTATS 2020
Almost Group Envy-free Allocation of Indivisible Goods and Chores IJCAI 2020
A Unified Switching System Perspective and Convergence Analysis of Q-Learning Algorithms NIPS 2020
Random Reshuffling is Not Always Better NIPS 2020
Sequential Cooperative Bayesian Inference ICML 2020
A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms AISTATS 2020
On the Convergence of SARAH and Beyond AISTATS 2020
Greed Meets Sparsity: Understanding and Improving Greedy Coordinate Descent for Sparse Optimization AISTATS 2020
Biased Opinion Dynamics: When the Devil is in the Details IJCAI 2020
On the Convergence of Model Free Learning in Mean Field Games AAAI 2020