César A. Uribe

109 papers A* 5B 1C 9Misc 3Journal 65Unranked 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
Networked competitive bivirus SIS spread with higher order interactions.
Autom.
Sebin Gracy, Brian D. O. Anderson, Mengbin Ye, César A. Uribe
2025 J jnl
Decentralised convex optimisation with probability-proportional-to-size quantization.
EURO J. Comput. Optim.
Dmitry Pasechnyuk, Pavel E. Dvurechensky, César A. Uribe, Alexander V. Gasnikov
2025 B conf
Discovering Automata Models Tailored for the Control of Discrete Event Systems.
ICPM
Rosaine F. Semler, Jhonnatan R. Semler, Marco A. Wehrmeister, Luiz Fernando Puttow Southier, César A. Uribe, José E. R. Cury, Marcelo Teixeira
2025 — conf
Distributed Optimization with Quantization for Computing Wasserstein Barycenters.
CDC
Roman Krawtschenko, César A. Uribe, Alexander V. Gasnikov, Pavel E. Dvurechensky
2025 J jnl
Frequentist Guarantees of Distributed (Non)-Bayesian Inference.
J. Mach. Learn. Res.
Bohan Wu, César A. Uribe
2025 J jnl
Gromov-Wasserstein Graph Coarsening.
CoRR
Carlos A. Taveras, Santiago Segarra, César A. Uribe
2025 J jnl
On Graphs with Finite-Time Consensus and Their Use in Gradient Tracking.
SIAM J. Optim.
Edward Duc Hien Nguyen, Xin Jiang, Bicheng Ying, César A. Uribe
2025 J jnl
Sparse Factorization of the Square All-Ones Matrix of Arbitrary Order.
SIAM J. Matrix Anal. Appl.
Xin Jiang, Edward Duc Hien Nguyen, César A. Uribe, Bicheng Ying
2025 J jnl
The role of local steps in local SGD.
Optim. Methods Softw.
Tiancheng Qin, S. Rasoul Etesami, César A. Uribe
2024 — conf
A Discrete-Time Networked Competitive Bivirus SIS Model.
ECC
Sebin Gracy, Ji Liu, Tamer Basar, César A. Uribe
2024 — conf
A Moreau Envelope Approach for LQR Meta-Policy Estimation.
CDC
Ashwin Aravind, Mohammad Taha Toghani, César A. Uribe
2024 J jnl
A Moreau Envelope Approach for LQR Meta-Policy Estimation.
CoRR
Ashwin Aravind, Mohammad Taha Toghani, César A. Uribe
2024 — conf
ADMM for Downlink Beamforming in Cell-Free Massive MIMO Systems.
IEEECONF
Mehdi Zafari, Divyanshu Pandey, Rahman Doost-Mohammady, César A. Uribe
2024 J jnl
ADMM for Downlink Beamforming in Cell-Free Massive MIMO Systems.
CoRR
Mehdi Zafari, Divyanshu Pandey, Rahman Doost-Mohammady, César A. Uribe
2024 A* conf
Adaptive Federated Learning with Auto-Tuned Clients.
ICLR
Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis
2024 — conf
An Optimal Transport Approach for Network Regression.
CCTA
Alex G. Zalles, Kai M. Hung, Ann E. Finneran, Lydia Beaudrot, César A. Uribe
2024 J jnl
An Optimal Transport Approach for Network Regression.
CoRR
Alex G. Zalles, Kai M. Hung, Ann E. Finneran, Lydia Beaudrot, César A. Uribe
2024 C conf
Competitive Networked Bivirus SIS Spread Over Hypergraphs.
ACC
Sebin Gracy, Brian D. O. Anderson, Mengbin Ye, César A. Uribe
2024 C conf
Decentralized and Equitable Optimal Transport.
ACC
Ivan Lau, Shiqian Ma, César A. Uribe
2024 J jnl
Decentralized and Equitable Optimal Transport.
CoRR
Ivan Lau, Shiqian Ma, César A. Uribe
2024 — conf
Efficient Path Planning with Soft Homology Constraints.
CCTA
Carlos A. Taveras, Santiago Segarra, César A. Uribe
2024 J jnl
Efficient Path Planning with Soft Homology Constraints.
CoRR
Carlos A. Taveras, Santiago Segarra, César A. Uribe
2024 J jnl
Faster Convergence of Local SGD for Over-Parameterized Models.
Trans. Mach. Learn. Res.
Tiancheng Qin, S. Rasoul Etesami, César A. Uribe
2024 J jnl
Multi-competitive time-varying networked SIS model with an infrastructure network.
IFAC J. Syst. Control.
Sebin Gracy, José I. Caiza, Philip E. Paré, César A. Uribe
2024 J jnl
Near-optimal tensor methods for minimizing the gradient norm of convex functions and accelerated primal-dual tensor methods.
Optim. Methods Softw.
Pavel E. Dvurechensky, Petr Ostroukhov, Alexander V. Gasnikov, César A. Uribe, Anastasiya Ivanova
2024 — conf
On the Inconsistency of Estimation with Uncertain Models.
IEEECONF
César A. Uribe, James Zachary Hare, Lance M. Kaplan, Ali Jadbabaie
2024 A* conf
PIDformer: Transformer Meets Control Theory.
ICML
Tam Minh Nguyen, César A. Uribe, Tan Minh Nguyen, Richard G. Baraniuk
2024 J jnl
PIDformer: Transformer Meets Control Theory.
CoRR
Tam Nguyen, César A. Uribe, Tan M. Nguyen, Richard G. Baraniuk
2024 J jnl
Robust synchronization and policy adaptation for networked heterogeneous agents.
CoRR
Miguel F. Arevalo-Castiblanco, Eduardo Mojica-Nava, César A. Uribe
2023 J jnl
Adaptive Federated Learning with Auto-Tuned Clients.
CoRR
Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis
2023 Misc conf
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations.
ACSSC
Delaram Pirhayatifard, Mohammad Taha Toghani, Guha Balakrishnan, César A. Uribe
2023 J jnl
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations.
CoRR
Delaram Pirhayatifard, Mohammad Taha Toghani, Guha Balakrishnan, César A. Uribe
2023 J jnl
Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography.
IEEE Control. Syst. Lett.
Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis
2023 J jnl
Multi-Competitive Virus Spread over a Time-Varying Networked SIS Model with an Infrastructure Network.
CoRR
Sebin Gracy, Yuan Wang, Philip E. Pare, César A. Uribe
2023 — conf
On First-Order Meta-Reinforcement Learning with Moreau Envelopes.
CDC
Mohammad Taha Toghani, Sebastian Perez-Salazar, César A. Uribe
2023 J jnl
On First-Order Meta-Reinforcement Learning with Moreau Envelopes.
CoRR
Mohammad Taha Toghani, Sebastian Perez-Salazar, César A. Uribe
2023 C conf
On the Endemic Behavior of a Competitive Tri-Virus SIS Networked Model.
ACC
Sebin Gracy, Mengbin Ye, Brian D. O. Anderson, César A. Uribe
2023 — conf
On the Performance of Gradient Tracking with Local Updates.
CDC
Edward Duc Hien Nguyen, Sulaiman A. Alghunaim, Kun Yuan, César A. Uribe
2023 J jnl
PARS-Push: Personalized, Asynchronous and Robust Decentralized Optimization.
IEEE Control. Syst. Lett.
Mohammad Taha Toghani, Soomin Lee, César A. Uribe
2022 J jnl
A State Feedback Controller for Mitigation of Continuous-Time Networked SIS Epidemics.
CoRR
Yuan Wang, Sebin Gracy, César A. Uribe, Hideaki Ishii, Karl Henrik Johansson
2022 J jnl
An energy management system model with power quality constraints for unbalanced multi-microgrids interacting in a local energy market.
CoRR
Johanna Castellanos, Carlos Adrian Correa-Florez, Alejandro Garcés, Gabriel Ordóñez-Plata, César A. Uribe, Diego Patiño
2022 J jnl
Approximate Wasserstein attraction flows for dynamic mass transport over networks.
Autom.
Ferran Arqué, César A. Uribe, Carlos Ocampo-Martinez
2022 J jnl
Communication-Efficient Distributed Cooperative Learning With Compressed Beliefs.
IEEE Trans. Control. Netw. Syst.
Mohammad Taha Toghani, César A. Uribe
2022 J jnl
Consensus ADMM-Based Distributed Simultaneous Imaging & Communication.
CoRR
Nishant Mehrotra, Ashutosh Sabharwal, César A. Uribe
2022 — conf
Decentralized Federated Learning for Over-Parameterized Models.
CDC
Tiancheng Qin, S. Rasoul Etesami, César A. Uribe
2022 J jnl
Faster Convergence of Local SGD for Over-Parameterized Models.
CoRR
Tiancheng Qin, S. Rasoul Etesami, César A. Uribe
2022 J jnl
Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization.
EURO J. Comput. Optim.
Pavel E. Dvurechensky, Dmitry Kamzolov, Aleksandr Lukashevich, Soomin Lee, Erik Ordentlich, César A. Uribe, Alexander V. Gasnikov
2022 J jnl
Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography.
CoRR
Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis
2022 J jnl
Nonasymptotic Concentration Rates in Cooperative Learning - Part II: Inference on Compact Hypothesis Sets.
IEEE Trans. Control. Netw. Syst.
César A. Uribe, Alex Olshevsky, Angelia Nedic
2022 J jnl
Nonasymptotic Concentration Rates in Cooperative Learning-Part I: Variational Non-Bayesian Social Learning.
IEEE Trans. Control. Netw. Syst.
César A. Uribe, Alex Olshevsky, Angelia Nedic
2022 — conf
On Acceleration of Gradient-Based Empirical Risk Minimization using Local Polynomial Regression.
ECC
Ekaterina Trimbach, Edward Duc Hien Nguyen, César A. Uribe
2022 J jnl
On Acceleration of Gradient-Based Empirical Risk Minimization using Local Polynomial Regression.
CoRR
Ekaterina Trimbach, Edward Duc Hien Nguyen, César A. Uribe
2022 J jnl
On Arbitrary Compression for Decentralized Consensus and Stochastic Optimization over Directed Networks.
CoRR
Mohammad Taha Toghani, César A. Uribe
2022 — conf
On Distributed Exact Sparse Linear Regression over Networks.
CDC
Tu Anh-Nguyen, César A. Uribe
2022 J jnl
On Distributed Exact Sparse Linear Regression over Networks.
CoRR
Tu Anh-Nguyen, César A. Uribe
2022 J jnl
On arbitrary compression for decentralized consensus and stochastic optimization over directed networks.
Eur. J. Control
Mohammad Taha Toghani, César A. Uribe
2022 J jnl
On the Performance of Gradient Tracking with Local Updates.
CoRR
Edward Duc Hien Nguyen, Sulaiman A. Alghunaim, Kun Yuan, César A. Uribe
2022 J jnl
PersA-FL: Personalized Asynchronous Federated Learning.
CoRR
Mohammad Taha Toghani, Soomin Lee, César A. Uribe
2022 J jnl
Robust Distributed Optimization With Randomly Corrupted Gradients.
IEEE Trans. Signal Process.
Berkay Turan, César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh
2022 C conf
Scalable Average Consensus with Compressed Communications.
ACC
Mohammad Taha Toghani, César A. Uribe
2022 J jnl
The Role of Local Steps in Local SGD.
CoRR
Tiancheng Qin, S. Rasoul Etesami, César A. Uribe
2022 — conf
Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation.
Allerton
Mohammad Taha Toghani, César A. Uribe
2022 J jnl
Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation.
CoRR
Mohammad Taha Toghani, César A. Uribe
2021 J jnl
A General Framework for Distributed Inference With Uncertain Models.
IEEE Trans. Signal Inf. Process. over Networks
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
2021 J jnl
A dual approach for optimal algorithms in distributed optimization over networks.
Optim. Methods Softw.
César A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic
2021 — conf
Application of Wasserstein Attraction Flows for Optimal Transport in Network Systems.
CDC
Ferran Arqué, César A. Uribe, Carlos Ocampo-Martinez
2021 — conf
Communication-Efficient Decentralized Local SGD over Undirected Networks.
CDC
Tiancheng Qin, S. Rasoul Etesami, César A. Uribe
2021 — conf
Communication-Efficient and Fault-Tolerant Social Learning.
ACSCC
Mohammad Taha Toghani, César A. Uribe
2021 — conf
Computation-aware distributed optimization over networks: a hybrid dynamical systems approach.
CAADCPS@CPSIoTWeek
Daniel Esteban Ochoa, Jorge I. Poveda, César A. Uribe
2021 — conf
Model Reference Adaptive Control for Online Policy Adaptation and Network Synchronization.
CDC
Miguel F. Arevalo-Castiblanco, César A. Uribe, Eduardo Mojica-Nava
2021 — conf
On Robustness of the Normalized Random Block Coordinate Method for Non-Convex Optimization.
CDC
Berkay Turan, César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh
2021 C conf
On Robustness of the Normalized Subgradient Method with Randomly Corrupted Subgradients.
ACC
Berkay Turan, César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh
2021 J jnl
Resilient Primal-Dual Optimization Algorithms for Distributed Resource Allocation.
IEEE Trans. Control. Netw. Syst.
Berkay Turan, César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh
2021 C conf
Robust Asynchronous and Network-Independent Cooperative Learning.
ACC
Eduardo Mojica-Nava, David Yanguas-Rojas, César A. Uribe
2021 J jnl
Robust Optimization Over Networks Using Distributed Restarting of Accelerated Dynamics.
IEEE Control. Syst. Lett.
Daniel E. Ochoa, Jorge I. Poveda, César A. Uribe, Nicanor Quijano
2021 J jnl
Scalable Average Consensus with Compressed Communications.
CoRR
Mohammad Taha Toghani, César A. Uribe
2021 — conf
Toward Active Sequential Hypothesis Testing with Uncertain Models.
CDC
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
2020 J jnl
A Distributed Cubic-Regularized Newton Method for Smooth Convex Optimization over Networks.
CoRR
César A. Uribe, Ali Jadbabaie
2020 Misc conf
A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks.
ITA
César A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic
2020 J jnl
A General Framework for Distributed Inference with Uncertain Models.
CoRR
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
2020 J jnl
Accelerating incremental gradient optimization with curvature information.
Comput. Optim. Appl.
Hoi-To Wai, Wei Shi, César A. Uribe, Angelia Nedic, Anna Scaglione
2020 Misc conf
Communication Constrained Learning with Uncertain Models.
ICASSP
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
2020 J jnl
Communication-efficient Decentralized Local SGD over Undirected Networks.
CoRR
Tiancheng Qin, S. Rasoul Etesami, César A. Uribe
2020 — conf
Multimarginal Optimal Transport by Accelerated Alternating Minimization.
CDC
Nazarii Tupitsa, Pavel E. Dvurechensky, Alexander V. Gasnikov, César A. Uribe
2020 J jnl
Non-Bayesian Social Learning With Uncertain Models.
IEEE Trans. Signal Process.
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
2020 J jnl
Optimal Distributed Convex Optimization on Slowly Time-Varying Graphs.
IEEE Trans. Control. Netw. Syst.
Alexander Rogozin, César A. Uribe, Alexander V. Gasnikov, Nikolay Malkovsky, Angelia Nedic
2020 J jnl
Robust Asynchronous and Network-Independent Cooperative Learning.
CoRR
Eduardo Mojica-Nava, David Yanguas-Rojas, César A. Uribe
2019 C conf
Achieving Acceleration in Distributed Optimization via Direct Discretization of the Heavy-Ball ODE.
ACC
Jingzhao Zhang, César A. Uribe, Aryan Mokhtari, Ali Jadbabaie
2019 J jnl
Generalized Self-concordant Hessian-barrier algorithms.
CoRR
Pavel E. Dvurechensky, Mathias Staudigl, César A. Uribe
2019 — conf
Gradient Methods for Problems with Inexact Model of the Objective.
MOTOR
Fedor S. Stonyakin, Darina Dvinskikh, Pavel E. Dvurechensky, Alexey Kroshnin, Olesya Kuznetsova, Artem Agafonov, Alexander V. Gasnikov, Alexander Tyurin, César A. Uribe, Dmitry Pasechnyuk, Sergei Artamonov
2019 — conf
Hybrid Robust Optimal Resource Allocation with Momentum.
CDC
Daniel E. Ochoa, Jorge I. Poveda, César A. Uribe, Nicanor Quijano
2019 A* conf
Near Optimal Methods for Minimizing Convex Functions with Lipschitz $p$-th Derivatives.
COLT
Alexander V. Gasnikov, Pavel E. Dvurechensky, Eduard Gorbunov, Evgeniya A. Vorontsova, Daniil Selikhanovych, César A. Uribe, Bo Jiang, Haoyue Wang, Shuzhong Zhang, Sébastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford
2019 J jnl
Non-Bayesian Social Learning with Gaussian Uncertain Models.
CoRR
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
2019 — conf
Non-Bayesian Social Learning with Uncertain Models over Time-Varying Directed Graphs.
CDC
César A. Uribe, James Zachary Hare, Lance M. Kaplan, Ali Jadbabaie
2019 J jnl
Non-Bayesian Social Learning with Uncertain Models over Time-Varying Directed Graphs.
CoRR
César A. Uribe, James Zachary Hare, Lance M. Kaplan, Ali Jadbabaie
2019 C conf
On Increasing Self-Confidence in Non-Bayesian Social Learning over Time-Varying Directed Graphs.
ACC
César A. Uribe, Ali Jadbabaie
2019 C conf
On Malicious Agents in Non-Bayesian Social Learning with Uncertain Models.
FUSION
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
2019 — conf
On Primal and Dual Approaches for Distributed Stochastic Convex Optimization over Networks.
CDC
Darina Dvinskikh, Eduard Gorbunov, Alexander V. Gasnikov, Pavel E. Dvurechensky, César A. Uribe
2019 J jnl
On the Complexity of Approximating Wasserstein Barycenter.
CoRR
Alexey Kroshnin, Darina Dvinskikh, Pavel E. Dvurechensky, Alexander V. Gasnikov, Nazarii Tupitsa, César A. Uribe
2019 A* conf
Optimal Tensor Methods in Smooth Convex and Uniformly ConvexOptimization.
COLT
Alexander V. Gasnikov, Pavel E. Dvurechensky, Eduard Gorbunov, Evgeniya A. Vorontsova, Daniil Selikhanovych, César A. Uribe
2019 — conf
Resilient Distributed Optimization Algorithms for Resource Allocation.
CDC
César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh
2018 J jnl
A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks.
CoRR
César A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic
2018 A* conf
Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters.
NeurIPS
Pavel E. Dvurechenskii, Darina Dvinskikh, Alexander V. Gasnikov, César A. Uribe, Angelia Nedich
2018 J jnl
Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters.
CoRR
Pavel E. Dvurechensky, Darina Dvinskikh, Alexander V. Gasnikov, César A. Uribe, Angelia Nedic
2018 J jnl
Distributed Computation of Wasserstein Barycenters over Networks.
CoRR
César A. Uribe, Darina Dvinskikh, Pavel E. Dvurechensky, Alexander V. Gasnikov, Angelia Nedic
2018 J jnl
Graph-Theoretic Analysis of Belief System Dynamics under Logic Constraints.
CoRR
Angelia Nedic, Alex Olshevsky, César A. Uribe
2018 J jnl
On Increasing Self-Confidence in Non-Bayesian Social Learning over Time-Varying Directed Graphs.
CoRR
César A. Uribe, Ali Jadbabaie
2017 J jnl
Distributed Learning for Cooperative Inference.
CoRR
Angelia Nedic, Alex Olshevsky, César A. Uribe
2017 J jnl
Optimal Algorithms for Distributed Optimization.
CoRR
César A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic