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

Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods NIPS 2023
A Fully First-Order Method for Stochastic Bilevel Optimization ICML 2023
Anticipatory Fictitious Play IJCAI 2023
Convergence Rates of a Class of Multivariate Density Estimation Methods Based on Adaptive Partitioning JMLR 2023
Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent NIPS 2023
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation JMLR 2023
Tighter Analysis for ProxSkip ICML 2023
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence ICCV 2023
Lower Bounds and Accelerated Algorithms for Bilevel Optimization JMLR 2023
Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees JMLR 2023
Optimal Convergence Rates for Distributed Nystroem Approximation JMLR 2023
Inference on the Change Point under a High Dimensional Covariance Shift JMLR 2023
A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty JMLR 2023
Linear Convergence of Gradient Descent For Finite Width Over-parametrized Linear Networks With General Initialization AISTATS 2023
Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks ICML 2023
Learning-Rate-Free Learning by D-Adaptation ICML 2023
HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent AISTATS 2023
Nonparametric Iterative Machine Teaching ICML 2023
Coordinate Descent Methods for Fractional Minimization ICML 2023
Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition JMLR 2023
Robust Linear Regression for General Feature Distribution AISTATS 2023
“Plus/minus the learning rate”: Easy and Scalable Statistical Inference with SGD AISTATS 2023
On the Convergence Rate of Gaussianization with Random Rotations ICML 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