"convergence rate analysis" Papers
18 papers found
Conference
ASGO: Adaptive Structured Gradient Optimization
Kang An, Yuxing Liu, Rui Pan et al.
NEURIPS 2025arXiv:2503.20762
31
citations
Problem-Parameter-Free Decentralized Bilevel Optimization
Zhiwei Zhai, Wenjing Yan, Ying-Jun Zhang
NEURIPS 2025arXiv:2510.24288
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization
Mingjing Xu, Peizhong Ju, Jia Liu et al.
AAAI 2025paperarXiv:2412.10961
6
citations
Semi-supervised Vertex Hunting, with Applications in Network and Text Analysis
Yicong Jiang, Zheng Tracy Ke
NEURIPS 2025arXiv:2510.22526
Tightening Causal Bounds via Covariate-Aware Optimal Transport
Sirui Lin, Zijun Gao, Jose Blanchet et al.
ICML 2025arXiv:2502.01164
1
citations
Accelerated Algorithms for Constrained Nonconvex-Nonconcave Min-Max Optimization and Comonotone Inclusion
Yang Cai, Argyris Oikonomou, Weiqiang Zheng
ICML 2024arXiv:2206.05248
25
citations
Accelerated Policy Gradient: On the Convergence Rates of the Nesterov Momentum for Reinforcement Learning
Yen-Ju Chen, Nai-Chieh Huang, Ching-pei Lee et al.
ICML 2024arXiv:2310.11897
5
citations
Accelerating Convergence of Score-Based Diffusion Models, Provably
Gen Li, Yu Huang, Timofey Efimov et al.
ICML 2024arXiv:2403.03852
70
citations
A Doubly Recursive Stochastic Compositional Gradient Descent Method for Federated Multi-Level Compositional Optimization
Hongchang Gao
ICML 2024
Can Gaussian Sketching Converge Faster on a Preconditioned Landscape?
Yilong Wang, Haishan Ye, Guang Dai et al.
ICML 2024
Double Momentum Method for Lower-Level Constrained Bilevel Optimization
Wanli Shi, Yi Chang, Bin Gu
ICML 2024arXiv:2406.17386
1
citations
Enabling Uncertainty Estimation in Iterative Neural Networks
Nikita Durasov, Doruk Oner, Jonathan Donier et al.
ICML 2024arXiv:2403.16732
11
citations
Federated Representation Learning in the Under-Parameterized Regime
Renpu Liu, Cong Shen, Jing Yang
ICML 2024arXiv:2406.04596
11
citations
On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control
Amrit Singh Bedi, Anjaly Parayil, Junyu Zhang et al.
ICML 2024arXiv:2106.08414
18
citations
Prodigy: An Expeditiously Adaptive Parameter-Free Learner
Konstantin Mishchenko, Aaron Defazio
ICML 2024arXiv:2306.06101
113
citations
Stochastic Weakly Convex Optimization beyond Lipschitz Continuity
Wenzhi Gao, Qi Deng
ICML 2024arXiv:2401.13971
6
citations
Towards Robust Learning to Optimize with Theoretical Guarantees
Qingyu Song, Wei Lin, Juncheng Wang et al.
CVPR 2024arXiv:2506.14263
3
citations
Understanding Stochastic Natural Gradient Variational Inference
Kaiwen Wu, Jacob Gardner
ICML 2024arXiv:2406.01870
7
citations