Poster "convergence rates" Papers
17 papers found
Conference
Adaptive backtracking for faster optimization
Joao V. Cavalcanti, Laurent Lessard, Ashia Wilson
ICLR 2025
3
citations
Are Greedy Task Orderings Better Than Random in Continual Linear Regression?
Matan Tsipory, Ran Levinstein, Itay Evron et al.
NEURIPS 2025arXiv:2510.19941
1
citations
Assessing the quality of denoising diffusion models in Wasserstein distance: noisy score and optimal bounds
Vahan Arsenyan, Elen Vardanyan, Arnak Dalalyan
NEURIPS 2025arXiv:2506.09681
Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games
Kenshi Abe, Mitsuki Sakamoto, Kaito Ariu et al.
ICLR 2025arXiv:2410.02388
1
citations
Faster Fixed-Point Methods for Multichain MDPs
Matthew Zurek, Yudong Chen
NEURIPS 2025arXiv:2506.20910
Faster Stochastic Optimization with Arbitrary Delays via Adaptive Asynchronous Mini-Batching
Amit Attia, Ofir Gaash, Tomer Koren
ICML 2025
On the Almost Sure Convergence of the Stochastic Three Points Algorithm
Taha EL BAKKALI EL KADI, Omar Saadi
ICLR 2025arXiv:2501.13886
2
citations
Problem-Parameter-Free Federated Learning
Wenjing Yan, Kai Zhang, Xiaolu Wang et al.
ICLR 2025
Statistical Analysis of an Adversarial Bayesian Weak Supervision Method
Steven An
NEURIPS 2025
A connection between Tempering and Entropic Mirror Descent
Nicolas Chopin, Francesca R Crucinio, Anna Korba
ICML 2024arXiv:2310.11914
18
citations
A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models
Jiayi Wang, Zhengling Qi, Raymond K. W. Wong
ICML 2024arXiv:2406.10438
A New Robust Partial p-Wasserstein-Based Metric for Comparing Distributions
Sharath Raghvendra, Pouyan Shirzadian, Kaiyi Zhang
ICML 2024arXiv:2405.03664
9
citations
Convergence and Trade-Offs in Riemannian Gradient Descent and Riemannian Proximal Point
David Martínez-Rubio, Christophe Roux, Sebastian Pokutta
ICML 2024arXiv:2403.10429
3
citations
On Least Square Estimation in Softmax Gating Mixture of Experts
Huy Nguyen, Nhat Ho, Alessandro Rinaldo
ICML 2024arXiv:2402.02952
23
citations
On the Last-Iterate Convergence of Shuffling Gradient Methods
Zijian Liu, Zhengyuan Zhou
ICML 2024arXiv:2403.07723
8
citations
Plug-in Performative Optimization
Licong Lin, Tijana Zrnic
ICML 2024arXiv:2305.18728
18
citations
Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression
Zhankun Luo, Abolfazl Hashemi
ICML 2024arXiv:2405.18237