conftrace_

convergence rate

607 papers

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Co-occurring keywords

stochastic gradient descent (1091) convex optimization (1321) stochastic optimization (1060) gradient descent (1144) convergence analysis (395) non-convex optimization (547) nonconvex optimization (316) variance reduction (523) stochastic gradient (296) learning theory (519)

Papers

“Plus/minus the learning rate”: Easy and Scalable Statistical Inference with SGD AISTATS 2023
A Fully First-Order Method for Stochastic Bilevel Optimization ICML 2023
Anticipatory Fictitious Play IJCAI 2023
Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data AISTATS 2023
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction ICML 2023
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction ICML 2023
Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods NIPS 2023
A Bregman Divergence View on the Difference-of-Convex Algorithm AISTATS 2023
On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making NIPS 2023
Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees JMLR 2023
Learning-Rate-Free Learning by D-Adaptation ICML 2023
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence ICCV 2023
Coordinate Descent Methods for Fractional Minimization ICML 2023
Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions ICML 2023
Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks ICML 2023
Fast Convergence in Learning Two-Layer Neural Networks with Separable Data AAAI 2023
Lower Bounds and Accelerated Algorithms for Bilevel Optimization JMLR 2023
Optimal Convergence Rates for Distributed Nystroem Approximation JMLR 2023
Nonparametric Iterative Machine Teaching ICML 2023
A Fast Optimistic Method for Monotone Variational Inequalities ICML 2023
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation JMLR 2023
Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations ICML 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape ICML 2023
Unifying Nesterov’s Accelerated Gradient Methods for Convex and Strongly Convex Objective Functions ICML 2023
On the Convergence Rate of Gaussianization with Random Rotations ICML 2023