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

Consistent Multiclass Algorithms for Complex Metrics and Constraints JMLR 2024
Extragradient Type Methods for Riemannian Variational Inequality Problems AISTATS 2024
Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games AISTATS 2024
Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach NIPS 2024
Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces NIPS 2024
Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems AAAI 2024
Adaptive Quasi-Newton and Anderson Acceleration Framework with Explicit Global (Accelerated) Convergence Rates AISTATS 2024
On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions NIPS 2024
More Efficient Estimation of Multivariate Additive Models Based on Tensor Decomposition and Penalization JMLR 2024
Directional Smoothness and Gradient Methods: Convergence and Adaptivity NIPS 2024
Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction NIPS 2024
Acceleration and Implicit Regularization in Gaussian Phase Retrieval AISTATS 2024
Rates of convergence for density estimation with generative adversarial networks JMLR 2024
Faster Convergence with MultiWay Preferences AISTATS 2024
High-dimensional (Group) Adversarial Training in Linear Regression NIPS 2024
On the Convergence of Loss and Uncertainty-based Active Learning Algorithms NIPS 2024
Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML NIPS 2024
Near-Optimal Convex Simple Bilevel Optimization with a Bisection Method AISTATS 2024
Communication-Efficient Federated Learning with Accelerated Client Gradient CVPR 2024
Reducing Discretization Error in the Frank-Wolfe Method AISTATS 2023
Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods AISTATS 2023
Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks ICML 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape ICML 2023
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction ICML 2023
Learning-Rate-Free Learning by D-Adaptation ICML 2023