Poster "convergence rates" Papers
12 papers found
Assessing the quality of denoising diffusion models in Wasserstein distance: noisy score and optimal bounds
Vahan Arsenyan, Elen Vardanyan, Arnak Dalalyan
NeurIPS 2025posterarXiv:2506.09681
Faster Fixed-Point Methods for Multichain MDPs
Matthew Zurek, Yudong Chen
NeurIPS 2025posterarXiv:2506.20910
On the Almost Sure Convergence of the Stochastic Three Points Algorithm
Taha EL BAKKALI EL KADI, Omar Saadi
ICLR 2025posterarXiv:2501.13886
1
citations
Problem-Parameter-Free Federated Learning
Wenjing Yan, Kai Zhang, Xiaolu Wang et al.
ICLR 2025poster
A connection between Tempering and Entropic Mirror Descent
Nicolas Chopin, Francesca R Crucinio, Anna Korba
ICML 2024poster
A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models
Jiayi Wang, Zhengling Qi, Raymond K. W. Wong
ICML 2024poster
A New Robust Partial p-Wasserstein-Based Metric for Comparing Distributions
Sharath Raghvendra, Pouyan Shirzadian, Kaiyi Zhang
ICML 2024poster
Convergence and Trade-Offs in Riemannian Gradient Descent and Riemannian Proximal Point
David Martínez-Rubio, Christophe Roux, Sebastian Pokutta
ICML 2024poster
On Least Square Estimation in Softmax Gating Mixture of Experts
Huy Nguyen, Nhat Ho, Alessandro Rinaldo
ICML 2024poster
On the Last-Iterate Convergence of Shuffling Gradient Methods
Zijian Liu, Zhengyuan Zhou
ICML 2024poster
Plug-in Performative Optimization
Licong Lin, Tijana Zrnic
ICML 2024poster
Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression
Zhankun Luo, Abolfazl Hashemi
ICML 2024poster