Uribe, César A.

12 publications

JMLR 2025 Frequentist Guarantees of Distributed (Non)-Bayesian Inference Bohan Wu, César A. Uribe

ICLR 2024 Adaptive Federated Learning with Auto-Tuned Clients Junhyung Lyle Kim, Taha Toghani, Cesar A Uribe, Anastasios Kyrillidis

TMLR 2024 Faster Convergence of Local SGD for Over-Parameterized Models Tiancheng Qin, S. Rasoul Etesami, Cesar A Uribe

ICML 2024 PIDformer: Transformer Meets Control Theory Tam Minh Nguyen, Cesar A Uribe, Tan Minh Nguyen, Richard Baraniuk

ICMLW 2023 Adaptive Federated Learning with Auto-Tuned Clients via Local Smoothness Junhyung Lyle Kim, Taha Toghani, Cesar A Uribe, Anastasios Kyrillidis

ICMLW 2023 On First-Order Meta-Reinforcement Learning with Moreau Envelopes Taha Toghani, Sebastian Perez-Salazar, Cesar A Uribe

ICMLW 2023 On the Performance of Gradient Tracking with Local Updates Edward Duc Hien Nguyen, Sulaiman A Alghunaim, Kun Yuan, Cesar A Uribe

ICMLW 2022 PARS-Push: Personalized, Asynchronous and Robust Decentralized Optimization Taha Toghani, Soomin Lee, Cesar A Uribe

NeurIPSW 2022 PersA-FL: Personalized Asynchronous Federated Learning Taha Toghani, Soomin Lee, Cesar A Uribe

NeurIPSW 2022 Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation Taha Toghani, Cesar A Uribe

COLT 2019 Near Optimal Methods for Minimizing Convex Functions with Lipschitz $p$-Th Derivatives Alexander Gasnikov, Pavel Dvurechensky, Eduard Gorbunov, Evgeniya Vorontsova, Daniil Selikhanovych, César A. Uribe, Bo Jiang, Haoyue Wang, Shuzhong Zhang, Sébastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford

COLT 2019 Optimal Tensor Methods in Smooth Convex and Uniformly ConvexOptimization Alexander Gasnikov, Pavel Dvurechensky, Eduard Gorbunov, Evgeniya Vorontsova, Daniil Selikhanovych, César A. Uribe