"first-order methods" Papers
12 papers found
Conference
Accelerated Distance-adaptive Methods for Hölder Smooth and Convex Optimization
Yijin Ren, Haifeng Xu, Qi Deng
NEURIPS 2025arXiv:2510.22135
A Single-Loop Gradient Algorithm for Pessimistic Bilevel Optimization via Smooth Approximation
Qichao Cao, Shangzhi Zeng, Jin Zhang
NEURIPS 2025arXiv:2509.26240
Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games
Kenshi Abe, Mitsuki Sakamoto, Kaito Ariu et al.
ICLR 2025arXiv:2410.02388
1
citations
Hybrid Decentralized Optimization: Leveraging Both First- and Zeroth-Order Optimizers for Faster Convergence
Shayan Talaei, Matin Ansaripour, Giorgi Nadiradze et al.
AAAI 2025paperarXiv:2210.07703
1
citations
Learning from A Single Markovian Trajectory: Optimality and Variance Reduction
Zhenyu Sun, Ermin Wei
NEURIPS 2025
Accelerated Algorithms for Constrained Nonconvex-Nonconcave Min-Max Optimization and Comonotone Inclusion
Yang Cai, Argyris Oikonomou, Weiqiang Zheng
ICML 2024arXiv:2206.05248
25
citations
A Universal Transfer Theorem for Convex Optimization Algorithms Using Inexact First-order Oracles
Phillip Kerger, Marco Molinaro, Hongyi Jiang et al.
ICML 2024arXiv:2406.00576
Decentralized Convex Finite-Sum Optimization with Better Dependence on Condition Numbers
Yuxing Liu, Lesi Chen, Luo Luo
ICML 2024
Decentralized Sum-of-Nonconvex Optimization
Zhuanghua Liu, Bryan Kian Hsiang Low
AAAI 2024paperarXiv:2402.02356
Decoupling Learning and Decision-Making: Breaking the $\mathcal{O}(\sqrt{T})$ Barrier in Online Resource Allocation with First-Order Methods
Wenzhi Gao, Chunlin Sun, Chenyu Xue et al.
ICML 2024arXiv:2402.07108
3
citations
On The Complexity of First-Order Methods in Stochastic Bilevel Optimization
Jeongyeol Kwon, Dohyun Kwon, Hanbaek Lyu
ICML 2024arXiv:2402.07101
14
citations
PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming
Bingheng Li, Linxin Yang, Yupeng Chen et al.
ICML 2024arXiv:2406.01908
19
citations