conftrace_

first-order optimization

47 papers

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Co-occurring keywords

convex optimization (1321) gradient descent (1144) convergence rate (607) first-order method (89) iteration complexity (70) accelerated gradient method (29) accelerated gradient (62) constrained optimization (281) nesterov acceleration (54) frank-wolfe algorithm (107)

Papers

Hybrid Decentralized Optimization: Leveraging Both First- and Zeroth-Order Optimizers for Faster Convergence AAAI 2025
ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting ACL 2025
Learning Dynamics of Meta-Learning in Small Model Pretraining AACL 2025
First-Order Federated Bilevel Learning AAAI 2025
First-Order Minimax Bilevel Optimization NIPS 2024
OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations NIPS 2024
Optimal First-Order Algorithms as a Function of Inequalities JMLR 2024
Continuous-time Analysis of Anchor Acceleration NIPS 2023
Fast and Interpretable Dynamics for Fisher Markets via Block-Coordinate Updates AAAI 2023
Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations ICML 2023
MoreauGrad: Sparse and Robust Interpretation of Neural Networks via Moreau Envelope ICCV 2023
Pruning Pre-trained Language Models Without Fine-Tuning ACL 2023
Closing the gap between the upper bound and lower bound of Adam's iteration complexity NIPS 2023
Multi-Agent First Order Constrained Optimization in Policy Space NIPS 2023
RECAPP: Crafting a More Efficient Catalyst for Convex Optimization ICML 2022
On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems JMLR 2022
Pareto navigation gradient descent: a first-order algorithm for optimization in pareto set UAI 2022
Uniform Stability for First-Order Empirical Risk Minimization COLT 2022
Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound NIPS 2022
Convergence Analysis of Linear Coupling with Inexact Proximal Operator UAI 2022
Adaptive First-Order Methods Revisited: Convex Minimization without Lipschitz Requirements NIPS 2021
A Geometric Structure of Acceleration and Its Role in Making Gradients Small Fast NIPS 2021
A Study of Condition Numbers for First-Order Optimization AISTATS 2021
Graph Learning for Inverse Landscape Genetics AAAI 2021
Adversarial Regression with Doubly Non-negative Weighting Matrices NIPS 2021