César A. Uribe

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 89

Top Topics

Gradient Method

Empirical Risk Minimization

Directed Networks

Social Learning

Top Venues

IEEE Trans. Control. Netw. Syst.

Publications

Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis
Adaptive Federated Learning with Auto-Tuned Clients. ICLR (2024)
Tam Nguyen, César A. Uribe, Tan M. Nguyen, Richard G. Baraniuk
PIDformer: Transformer Meets Control Theory. CoRR (2024)
Sebin Gracy, Ji Liu, Tamer Basar, César A. Uribe
A Discrete-Time Networked Competitive Bivirus SIS Model. ECC (2024)
Carlos A. Taveras, Santiago Segarra, César A. Uribe
Efficient Path Planning with Soft Homology Constraints. CoRR (2024)
Tiancheng Qin, S. Rasoul Etesami, César A. Uribe
Faster Convergence of Local SGD for Over-Parameterized Models. Trans. Mach. Learn. Res. 2024 (2024)
Ashwin Aravind, Mohammad Taha Toghani, César A. Uribe
A Moreau Envelope Approach for LQR Meta-Policy Estimation. CoRR (2024)
Ivan Lau, Shiqian Ma, César A. Uribe
Decentralized and Equitable Optimal Transport. CoRR (2024)
Sebin Gracy, José I. Caiza, Philip E. Paré, César A. Uribe
Multi-competitive time-varying networked SIS model with an infrastructure network. IFAC J. Syst. Control. 27 (2024)
Alex G. Zalles, Kai M. Hung, Ann E. Finneran, Lydia Beaudrot, César A. Uribe
An Optimal Transport Approach for Network Regression. CoRR (2024)
Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis
Adaptive Federated Learning with Auto-Tuned Clients. CoRR (2023)
Delaram Pirhayatifard, Mohammad Taha Toghani, Guha Balakrishnan, César A. Uribe
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations. ACSSC (2023)
Sebin Gracy, Mengbin Ye, Brian D. O. Anderson, César A. Uribe
On the Endemic Behavior of a Competitive Tri-Virus SIS Networked Model. ACC (2023)
Mohammad Taha Toghani, Soomin Lee, César A. Uribe
PARS-Push: Personalized, Asynchronous and Robust Decentralized Optimization. IEEE Control. Syst. Lett. 7 (2023)
Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis
Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography. IEEE Control. Syst. Lett. 7 (2023)
Edward Duc Hien Nguyen, Sulaiman A. Alghunaim, Kun Yuan, César A. Uribe
On the Performance of Gradient Tracking with Local Updates. CDC (2023)
Mohammad Taha Toghani, Sebastian Perez-Salazar, César A. Uribe
On First-Order Meta-Reinforcement Learning with Moreau Envelopes. CoRR (2023)
Delaram Pirhayatifard, Mohammad Taha Toghani, Guha Balakrishnan, César A. Uribe
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations. CoRR (2023)
Mohammad Taha Toghani, Sebastian Perez-Salazar, César A. Uribe
On First-Order Meta-Reinforcement Learning with Moreau Envelopes. CDC (2023)
Sebin Gracy, Yuan Wang, Philip E. Pare, César A. Uribe
Multi-Competitive Virus Spread over a Time-Varying Networked SIS Model with an Infrastructure Network. CoRR (2023)
Mohammad Taha Toghani, César A. Uribe
Communication-Efficient Distributed Cooperative Learning With Compressed Beliefs. IEEE Trans. Control. Netw. Syst. 9 (3) (2022)
Tiancheng Qin, S. Rasoul Etesami, César A. Uribe
Decentralized Federated Learning for Over-Parameterized Models. CDC (2022)
Ekaterina Trimbach, Edward Duc Hien Nguyen, César A. Uribe
On Acceleration of Gradient-Based Empirical Risk Minimization using Local Polynomial Regression. CoRR (2022)
Berkay Turan, César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh
Robust Distributed Optimization With Randomly Corrupted Gradients. IEEE Trans. Signal Process. 70 (2022)
Mohammad Taha Toghani, Soomin Lee, César A. Uribe
PersA-FL: Personalized Asynchronous Federated Learning. CoRR (2022)
Nishant Mehrotra, Ashutosh Sabharwal, César A. Uribe
Consensus ADMM-Based Distributed Simultaneous Imaging & Communication. CoRR (2022)
Edward Duc Hien Nguyen, Sulaiman A. Alghunaim, Kun Yuan, César A. Uribe
On the Performance of Gradient Tracking with Local Updates. CoRR (2022)
Tiancheng Qin, S. Rasoul Etesami, César A. Uribe
The Role of Local Steps in Local SGD. CoRR (2022)
César A. Uribe, Alex Olshevsky, Angelia Nedic
Nonasymptotic Concentration Rates in Cooperative Learning-Part I: Variational Non-Bayesian Social Learning. IEEE Trans. Control. Netw. Syst. 9 (3) (2022)
Mohammad Taha Toghani, César A. Uribe
On Arbitrary Compression for Decentralized Consensus and Stochastic Optimization over Directed Networks. CoRR (2022)
Ekaterina Trimbach, Edward Duc Hien Nguyen, César A. Uribe
On Acceleration of Gradient-Based Empirical Risk Minimization using Local Polynomial Regression. ECC (2022)
Ferran Arqué, César A. Uribe, Carlos Ocampo-Martinez
Approximate Wasserstein attraction flows for dynamic mass transport over networks. Autom. 143 (2022)
Pavel E. Dvurechensky, Dmitry Kamzolov, Aleksandr Lukashevich, Soomin Lee, Erik Ordentlich, César A. Uribe, Alexander V. Gasnikov
Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization. EURO J. Comput. Optim. 10 (2022)
Mohammad Taha Toghani, César A. Uribe
Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation. CoRR (2022)
Tiancheng Qin, S. Rasoul Etesami, César A. Uribe
Faster Convergence of Local SGD for Over-Parameterized Models. CoRR (2022)
Mohammad Taha Toghani, César A. Uribe
Scalable Average Consensus with Compressed Communications. ACC (2022)
Mohammad Taha Toghani, César A. Uribe
On arbitrary compression for decentralized consensus and stochastic optimization over directed networks. Eur. J. Control 68 (2022)
Yuan Wang, Sebin Gracy, César A. Uribe, Hideaki Ishii, Karl Henrik Johansson
A State Feedback Controller for Mitigation of Continuous-Time Networked SIS Epidemics. CoRR (2022)
Johanna Castellanos, Carlos Adrian Correa-Florez, Alejandro Garcés, Gabriel Ordóñez-Plata, César A. Uribe, Diego Patiño
An energy management system model with power quality constraints for unbalanced multi-microgrids interacting in a local energy market. CoRR (2022)
Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis
Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography. CoRR (2022)
César A. Uribe, Alex Olshevsky, Angelia Nedic
Nonasymptotic Concentration Rates in Cooperative Learning - Part II: Inference on Compact Hypothesis Sets. IEEE Trans. Control. Netw. Syst. 9 (3) (2022)
Mohammad Taha Toghani, César A. Uribe
Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation. Allerton (2022)
Tu Anh-Nguyen, César A. Uribe
On Distributed Exact Sparse Linear Regression over Networks. CoRR (2022)
Tu Anh-Nguyen, César A. Uribe
On Distributed Exact Sparse Linear Regression over Networks. CDC (2022)
Miguel F. Arevalo-Castiblanco, César A. Uribe, Eduardo Mojica-Nava
Model Reference Adaptive Control for Online Policy Adaptation and Network Synchronization. CDC (2021)
Tiancheng Qin, S. Rasoul Etesami, César A. Uribe
Communication-Efficient Decentralized Local SGD over Undirected Networks. CDC (2021)
Berkay Turan, César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh
On Robustness of the Normalized Subgradient Method with Randomly Corrupted Subgradients. ACC (2021)
Berkay Turan, César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh
Resilient Primal-Dual Optimization Algorithms for Distributed Resource Allocation. IEEE Trans. Control. Netw. Syst. 8 (1) (2021)
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
A General Framework for Distributed Inference With Uncertain Models. IEEE Trans. Signal Inf. Process. over Networks 7 (2021)
César A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic
A dual approach for optimal algorithms in distributed optimization over networks. Optim. Methods Softw. 36 (1) (2021)
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
Toward Active Sequential Hypothesis Testing with Uncertain Models. CDC (2021)
Berkay Turan, César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh
On Robustness of the Normalized Random Block Coordinate Method for Non-Convex Optimization. CDC (2021)
Ferran Arqué, César A. Uribe, Carlos Ocampo-Martinez
Application of Wasserstein Attraction Flows for Optimal Transport in Network Systems. CDC (2021)
Mohammad Taha Toghani, César A. Uribe
Scalable Average Consensus with Compressed Communications. CoRR (2021)
Daniel E. Ochoa, Jorge I. Poveda, César A. Uribe, Nicanor Quijano
Robust Optimization Over Networks Using Distributed Restarting of Accelerated Dynamics. IEEE Control. Syst. Lett. 5 (1) (2021)
Eduardo Mojica-Nava, David Yanguas-Rojas, César A. Uribe
Robust Asynchronous and Network-Independent Cooperative Learning. ACC (2021)
Daniel Esteban Ochoa, Jorge I. Poveda, César A. Uribe
Computation-aware distributed optimization over networks: a hybrid dynamical systems approach. CAADCPS@CPSIoTWeek (2021)
Mohammad Taha Toghani, César A. Uribe
Communication-Efficient and Fault-Tolerant Social Learning. ACSCC (2021)
Eduardo Mojica-Nava, David Yanguas-Rojas, César A. Uribe
Robust Asynchronous and Network-Independent Cooperative Learning. CoRR (2020)
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
A General Framework for Distributed Inference with Uncertain Models. CoRR (2020)
Nazarii Tupitsa, Pavel E. Dvurechensky, Alexander V. Gasnikov, César A. Uribe
Multimarginal Optimal Transport by Accelerated Alternating Minimization. CDC (2020)
Alexander Rogozin, César A. Uribe, Alexander V. Gasnikov, Nikolay Malkovsky, Angelia Nedic
Optimal Distributed Convex Optimization on Slowly Time-Varying Graphs. IEEE Trans. Control. Netw. Syst. 7 (2) (2020)
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
Communication Constrained Learning with Uncertain Models. ICASSP (2020)
Hoi-To Wai, Wei Shi, César A. Uribe, Angelia Nedic, Anna Scaglione
Accelerating incremental gradient optimization with curvature information. Comput. Optim. Appl. 76 (2) (2020)
César A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic
A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks. ITA (2020)
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
Non-Bayesian Social Learning With Uncertain Models. IEEE Trans. Signal Process. 68 (2020)
César A. Uribe, Ali Jadbabaie
A Distributed Cubic-Regularized Newton Method for Smooth Convex Optimization over Networks. CoRR (2020)
Tiancheng Qin, S. Rasoul Etesami, César A. Uribe
Communication-efficient Decentralized Local SGD over Undirected Networks. CoRR (2020)
Jingzhao Zhang, César A. Uribe, Aryan Mokhtari, Ali Jadbabaie
Achieving Acceleration in Distributed Optimization via Direct Discretization of the Heavy-Ball ODE. ACC (2019)
César A. Uribe, Ali Jadbabaie
On Increasing Self-Confidence in Non-Bayesian Social Learning over Time-Varying Directed Graphs. ACC (2019)
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
On Malicious Agents in Non-Bayesian Social Learning with Uncertain Models. FUSION (2019)
James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie
Non-Bayesian Social Learning with Gaussian Uncertain Models. CoRR (2019)
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
Gradient Methods for Problems with Inexact Model of the Objective. MOTOR (2019)
Alexander V. Gasnikov, Pavel E. Dvurechensky, Eduard A. 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
Near Optimal Methods for Minimizing Convex Functions with Lipschitz $p$-th Derivatives. COLT (2019)
Daniel E. Ochoa, Jorge I. Poveda, César A. Uribe, Nicanor Quijano
Hybrid Robust Optimal Resource Allocation with Momentum. CDC (2019)
César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh
Resilient Distributed Optimization Algorithms for Resource Allocation. CDC (2019)
Darina Dvinskikh, Eduard A. Gorbunov, Alexander V. Gasnikov, Pavel E. Dvurechensky, César A. Uribe
On Primal and Dual Approaches for Distributed Stochastic Convex Optimization over Networks. CDC (2019)
Alexander V. Gasnikov, Pavel E. Dvurechensky, Eduard A. Gorbunov, Evgeniya A. Vorontsova, Daniil Selikhanovych, César A. Uribe
Optimal Tensor Methods in Smooth Convex and Uniformly ConvexOptimization. COLT (2019)
Alexey Kroshnin, Darina Dvinskikh, Pavel E. Dvurechensky, Alexander V. Gasnikov, Nazarii Tupitsa, César A. Uribe
On the Complexity of Approximating Wasserstein Barycenter. CoRR (2019)
César A. Uribe, James Zachary Hare, Lance M. Kaplan, Ali Jadbabaie
Non-Bayesian Social Learning with Uncertain Models over Time-Varying Directed Graphs. CoRR (2019)
Pavel E. Dvurechensky, Mathias Staudigl, César A. Uribe
Generalized Self-concordant Hessian-barrier algorithms. CoRR (2019)
César A. Uribe, James Zachary Hare, Lance M. Kaplan, Ali Jadbabaie
Non-Bayesian Social Learning with Uncertain Models over Time-Varying Directed Graphs. CDC (2019)
César A. Uribe, Ali Jadbabaie
On Increasing Self-Confidence in Non-Bayesian Social Learning over Time-Varying Directed Graphs. CoRR (2018)
César A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic
A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks. CoRR (2018)
Pavel E. Dvurechensky, Darina Dvinskikh, Alexander V. Gasnikov, César A. Uribe, Angelia Nedic
Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters. CoRR (2018)
Pavel E. Dvurechenskii, Darina Dvinskikh, Alexander V. Gasnikov, César A. Uribe, Angelia Nedich
Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters. NeurIPS (2018)
Angelia Nedic, Alex Olshevsky, César A. Uribe
Graph-Theoretic Analysis of Belief System Dynamics under Logic Constraints. CoRR (2018)
César A. Uribe, Darina Dvinskikh, Pavel E. Dvurechensky, Alexander V. Gasnikov, Angelia Nedic
Distributed Computation of Wasserstein Barycenters over Networks. CoRR (2018)
César A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic
Optimal Algorithms for Distributed Optimization. CoRR (2017)
Angelia Nedic, Alex Olshevsky, César A. Uribe
Distributed Learning for Cooperative Inference. CoRR (2017)