conftrace_

accelerated gradient

62 papers

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Also known as

AG

Co-occurring keywords

convex optimization (1321) gradient descent (1144) stochastic optimization (1060) variance reduction (523) convergence rate (607) accelerated gradient method (29) nesterov acceleration (54) first-order method (89) strongly convex (89) momentum method (75)

Papers

SIFAR: A Simple Faster Accelerated Variance-Reduced Gradient Method IJCAI 2025
Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration JMLR 2025
Nesterov acceleration despite very noisy gradients NIPS 2024
An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization NIPS 2024
High Probability and Risk-Averse Guarantees for a Stochastic Accelerated Primal-Dual Method JMLR 2024
Accelerated Regularized Learning in Finite N-Person Games NIPS 2024
Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization JMLR 2024
Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks NIPS 2024
Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations ICML 2023
Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems ICML 2023
DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization ICML 2023
Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization NIPS 2023
Discrete Variational Calculus for Accelerated Optimization JMLR 2023
Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties COLT 2023
Accelerated Zeroth-order Method for Non-Smooth Stochastic Convex Optimization Problem with Infinite Variance NIPS 2023
Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis ICML 2022
RECAPP: Crafting a More Efficient Catalyst for Convex Optimization ICML 2022
Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums AISTATS 2022
Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods NIPS 2022
Improving Neural Ordinary Differential Equations with Nesterov's Accelerated Gradient Method NIPS 2022
Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction ICML 2022
Optimal and Adaptive Monteiro-Svaiter Acceleration NIPS 2022
The Power of Factorial Powers: New Parameter settings for (Stochastic) Optimization ACML 2021
A No-go Theorem for Robust Acceleration in the Hyperbolic Plane NIPS 2021
Complexity Guarantees for Polyak Steps with Momentum COLT 2020