Integration Methodology of Face Detection and Speech Recognition. - Cesar A. Uribe; Claudia Isaza (IPCV, 2009)

A Wrapper Approach Based on Clustering for Sensors Selection of Industrial Monitoring Systems. - Cesar A. Uribe; Claudia Isaza; Oscar Gualdron; Cristian Duran; Adrian Carvajal (BWCCA, 2010)

Qualitative-fuzzy decision support system for monitoring patients with cardiovascular risk. - Cesar A. Uribe; Claudia Isaza; Jose F. Florez-Arango (FSKD, 2011)

Unsupervised Feature Selection Based on Fuzzy Clustering for Fault Detection of the Tennessee Eastman Process. - Carol Bedoya; Cesar A. Uribe; Claudia Isaza (IBERAMIA, 2012)

Analysis of signaling in a finite stochastic system motivated by decentralized control. - Cesar A. Uribe; Jan H. van Schuppen (CDC, 2013)

Computing optimal control laws for finite stochastic systems with non-classical information patterns. - Cesar A. Uribe; Tamás Keviczky; Jan H. van Schuppen (ACC, 2014)

Nonasymptotic convergence rates for cooperative learning over time-varying directed graphs. - Angelia Nedic; Alex Olshevsky; Cesar A. Uribe (ACC, 2015)

Distributed Gaussian learning over time-varying directed graphs. - Angelia Nedic; Alex Olshevsky; Cesar A. Uribe (ACSSC, 2016)

Network independent rates in distributed learning. - Angelia Nedic; Alex Olshevsky; Cesar A. Uribe (ACC, 2016)

Distributed learning with infinitely many hypotheses. - Angelia Nedic; Alex Olshevsky; Cesar A. Uribe (CDC, 2016)

A tutorial on distributed (non-Bayesian) learning: Problem, algorithms and results. - Angelia Nedic; Alex Olshevsky; Cesar A. Uribe (CDC, 2016)

Geometrically convergent distributed optimization with uncoordinated step-sizes. - Angelia Nedic; Alex Olshevsky; Wei Shi 010; Cesar A. Uribe (ACC, 2017)

Distributed Learning for Cooperative Inference. - Angelia Nedic; Alex Olshevsky; César A. Uribe (CoRR, 2017)

Optimal Algorithms for Distributed Optimization. - César A. Uribe; Soomin Lee; Alexander V. Gasnikov; Angelia Nedic (CoRR, 2017)

Fast Convergence Rates for Distributed Non-Bayesian Learning. - Angelia Nedic; Alex Olshevsky; Cesar A. Uribe (IEEE Trans. Autom. Control., 2017)

Distributed Computation of Wasserstein Barycenters Over Networks. - Cesar A. Uribe; Darina Dvinskikh; Pavel E. Dvurechensky; Alexander V. Gasnikov; Angelia Nedic (CDC, 2018)

Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters. - Pavel E. Dvurechenskii; Darina Dvinskikh; Alexander V. Gasnikov; César A. Uribe; Angelia Nedich (NeurIPS, 2018)

Graph-Theoretic Analysis of Belief System Dynamics under Logic Constraints. - Angelia Nedic; Alex Olshevsky; César A. Uribe (CoRR, 2018)

On Increasing Self-Confidence in Non-Bayesian Social Learning over Time-Varying Directed Graphs. - César A. Uribe; Ali Jadbabaie (ACC, 2019)

Achieving Acceleration in Distributed Optimization via Direct Discretization of the Heavy-Ball ODE. - Jingzhao Zhang; César A. Uribe; Aryan Mokhtari; Ali Jadbabaie (ACC, 2019)

On Primal and Dual Approaches for Distributed Stochastic Convex Optimization over Networks. - Darina Dvinskikh; Eduard Gorbunov; Alexander V. Gasnikov; Pavel E. Dvurechensky; César A. Uribe (CDC, 2019)

Hybrid Robust Optimal Resource Allocation with Momentum. - Daniel E. Ochoa 002; Jorge I. Poveda; César A. Uribe; Nicanor Quijano (CDC, 2019)

Non-Bayesian Social Learning with Uncertain Models over Time-Varying Directed Graphs. - César A. Uribe; James Zachary Hare; Lance M. Kaplan; Ali Jadbabaie (CDC, 2019)

Resilient Distributed Optimization Algorithms for Resource Allocation. - César A. Uribe; Hoi-To Wai; Mahnoosh Alizadeh (CDC, 2019)

Near Optimal Methods for Minimizing Convex Functions with Lipschitz $p$-th Derivatives. - Alexander V. Gasnikov; Pavel E. Dvurechensky; Eduard Gorbunov; Evgeniya A. Vorontsova; Daniil Selikhanovych; César A. Uribe; Bo Jiang 007; Haoyue Wang; Shuzhong Zhang; Sébastien Bubeck; Qijia Jiang; Yin Tat Lee; et al. (COLT, 2019)

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

On Malicious Agents in Non-Bayesian Social Learning with Uncertain Models. - James Zachary Hare; César A. Uribe; Lance M. Kaplan; Ali Jadbabaie (FUSION, 2019)

On the Complexity of Approximating Wasserstein Barycenters. - Alexey Kroshnin; Nazarii Tupitsa; Darina Dvinskikh; Pavel E. Dvurechensky; Alexander V. Gasnikov; Cesar A. Uribe (ICML, 2019)

Gradient Methods for Problems with Inexact Model of the Objective. - 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 (MOTOR, 2019)

On the Complexity of Approximating Wasserstein Barycenter. - Alexey Kroshnin; Darina Dvinskikh; Pavel E. Dvurechensky; Alexander V. Gasnikov; Nazarii Tupitsa; César A. Uribe (CoRR, 2019)

Generalized Self-concordant Hessian-barrier algorithms. - Pavel E. Dvurechensky; Mathias Staudigl; César A. Uribe (CoRR, 2019)

Non-Bayesian Social Learning with Gaussian Uncertain Models. - James Zachary Hare; Cesar A. Uribe; Lance M. Kaplan; Ali Jadbabaie (ACC, 2020)

Multimarginal Optimal Transport by Accelerated Alternating Minimization. - Nazarii Tupitsa; Pavel E. Dvurechensky; Alexander V. Gasnikov; César A. Uribe (CDC, 2020)

Communication Constrained Learning with Uncertain Models. - James Zachary Hare; César A. Uribe; Lance M. Kaplan; Ali Jadbabaie (ICASSP, 2020)

Accelerating incremental gradient optimization with curvature information. - Hoi-To Wai; Wei Shi 010; César A. Uribe; Angelia Nedic; Anna Scaglione (Comput. Optim. Appl., 2020)

A Distributed Cubic-Regularized Newton Method for Smooth Convex Optimization over Networks. - César A. Uribe; Ali Jadbabaie (CoRR, 2020)

Optimal Distributed Convex Optimization on Slowly Time-Varying Graphs. - Alexander Rogozin; César A. Uribe; Alexander V. Gasnikov; Nikolay Malkovsky; Angelia Nedic (IEEE Trans. Control. Netw. Syst., 2020)

Non-Bayesian Social Learning With Uncertain Models. - James Zachary Hare; César A. Uribe; Lance M. Kaplan; Ali Jadbabaie (IEEE Trans. Signal Process., 2020)

Communication-Efficient and Fault-Tolerant Social Learning. - Mohammad Taha Toghani; César A. Uribe (ACSCC, 2021)

Robust Asynchronous and Network-Independent Cooperative Learning. - Eduardo Mojica-Nava; David Yanguas-Rojas; César A. Uribe (ACC, 2021)

On Robustness of the Normalized Subgradient Method with Randomly Corrupted Subgradients. - Berkay Turan; César A. Uribe; Hoi-To Wai; Mahnoosh Alizadeh (ACC, 2021)

Model Reference Adaptive Control for Online Policy Adaptation and Network Synchronization. - Miguel F. Arevalo-Castiblanco; César A. Uribe; Eduardo Mojica-Nava (CDC, 2021)

Application of Wasserstein Attraction Flows for Optimal Transport in Network Systems. - Ferran Arqué; César A. Uribe; Carlos Ocampo-Martinez (CDC, 2021)

Toward Active Sequential Hypothesis Testing with Uncertain Models. - James Zachary Hare; César A. Uribe; Lance M. Kaplan; Ali Jadbabaie (CDC, 2021)

Communication-Efficient Decentralized Local SGD over Undirected Networks. - Tiancheng Qin; S. Rasoul Etesami 001; César A. Uribe (CDC, 2021)

On Robustness of the Normalized Random Block Coordinate Method for Non-Convex Optimization. - Berkay Turan; César A. Uribe; Hoi-To Wai; Mahnoosh Alizadeh (CDC, 2021)

Computation-aware distributed optimization over networks: a hybrid dynamical systems approach. - Daniel Esteban Ochoa; Jorge I. Poveda; César A. Uribe (CAADCPS@CPSIoTWeek, 2021)

Robust Optimization Over Networks Using Distributed Restarting of Accelerated Dynamics. - Daniel E. Ochoa 002; Jorge I. Poveda; César A. Uribe; Nicanor Quijano (IEEE Control. Syst. Lett., 2021)

A dual approach for optimal algorithms in distributed optimization over networks. - César A. Uribe; Soomin Lee; Alexander V. Gasnikov; Angelia Nedic (Optim. Methods Softw., 2021)

Resilient Primal-Dual Optimization Algorithms for Distributed Resource Allocation. - Berkay Turan; César A. Uribe; Hoi-To Wai; Mahnoosh Alizadeh (IEEE Trans. Control. Netw. Syst., 2021)

A General Framework for Distributed Inference With Uncertain Models. - James Zachary Hare; César A. Uribe; Lance M. Kaplan; Ali Jadbabaie (IEEE Trans. Signal Inf. Process. over Networks, 2021)

Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation. - Mohammad Taha Toghani; César A. Uribe (Allerton, 2022)

Scalable Average Consensus with Compressed Communications. - Mohammad Taha Toghani; César A. Uribe (ACC, 2022)

On Distributed Exact Sparse Linear Regression over Networks. - Tu Anh-Nguyen; César A. Uribe (CDC, 2022)

Decentralized Federated Learning for Over-Parameterized Models. - Tiancheng Qin; S. Rasoul Etesami 001; César A. Uribe (CDC, 2022)

On Acceleration of Gradient-Based Empirical Risk Minimization using Local Polynomial Regression. - Ekaterina Trimbach; Edward Duc Hien Nguyen; César A. Uribe (ECC, 2022)

Approximate Wasserstein attraction flows for dynamic mass transport over networks. - Ferran Arqué; César A. Uribe; Carlos Ocampo-Martinez (Autom., 2022)

The Role of Local Steps in Local SGD. - Tiancheng Qin; S. Rasoul Etesami 001; César A. Uribe (CoRR, 2022)

Consensus ADMM-Based Distributed Simultaneous Imaging & Communication. - Nishant Mehrotra; Ashutosh Sabharwal; César A. Uribe (CoRR, 2022)

PersA-FL: Personalized Asynchronous Federated Learning. - Mohammad Taha Toghani; Soomin Lee; César A. Uribe (CoRR, 2022)

A State Feedback Controller for Mitigation of Continuous-Time Networked SIS Epidemics. - Yuan Wang 001; Sebin Gracy; César A. Uribe; Hideaki Ishii; Karl Henrik Johansson (CoRR, 2022)

An energy management system model with power quality constraints for unbalanced multi-microgrids interacting in a local energy market. - Johanna Castellanos; Carlos Adrian Correa-Florez; Alejandro Garcés; Gabriel Ordóñez-Plata; César A. Uribe; Diego Patiño 001 (CoRR, 2022)

Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization. - Pavel E. Dvurechensky; Dmitry Kamzolov; Aleksandr Lukashevich; Soomin Lee; Erik Ordentlich; César A. Uribe; Alexander V. Gasnikov (EURO J. Comput. Optim., 2022)

On arbitrary compression for decentralized consensus and stochastic optimization over directed networks. - Mohammad Taha Toghani; César A. Uribe (Eur. J. Control, 2022)

Communication-Efficient Distributed Cooperative Learning With Compressed Beliefs. - Mohammad Taha Toghani; César A. Uribe (IEEE Trans. Control. Netw. Syst., 2022)

Nonasymptotic Concentration Rates in Cooperative Learning-Part I: Variational Non-Bayesian Social Learning. - César A. Uribe; Alex Olshevsky; Angelia Nedic (IEEE Trans. Control. Netw. Syst., 2022)

Nonasymptotic Concentration Rates in Cooperative Learning - Part II: Inference on Compact Hypothesis Sets. - César A. Uribe; Alex Olshevsky; Angelia Nedic (IEEE Trans. Control. Netw. Syst., 2022)

Robust Distributed Optimization With Randomly Corrupted Gradients. - Berkay Turan; César A. Uribe; Hoi-To Wai; Mahnoosh Alizadeh (IEEE Trans. Signal Process., 2022)

Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations. - Delaram Pirhayatifard; Mohammad Taha Toghani; Guha Balakrishnan; César A. Uribe (ACSSC, 2023)

On the Endemic Behavior of a Competitive Tri-Virus SIS Networked Model. - Sebin Gracy; Mengbin Ye; Brian D. O. Anderson; César A. Uribe (ACC, 2023)

On the Performance of Gradient Tracking with Local Updates. - Edward Duc Hien Nguyen; Sulaiman A. Alghunaim; Kun Yuan 001; César A. Uribe (CDC, 2023)

On First-Order Meta-Reinforcement Learning with Moreau Envelopes. - Mohammad Taha Toghani; Sebastian Perez-Salazar; César A. Uribe (CDC, 2023)

Multi-Competitive Virus Spread over a Time-Varying Networked SIS Model with an Infrastructure Network. - Sebin Gracy; Yuan Wang 001; Philip E. Pare; César A. Uribe (CoRR, 2023)

Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography. - Junhyung Lyle Kim; Mohammad Taha Toghani; César A. Uribe; Anastasios Kyrillidis (IEEE Control. Syst. Lett., 2023)

PARS-Push: Personalized, Asynchronous and Robust Decentralized Optimization. - Mohammad Taha Toghani; Soomin Lee; César A. Uribe (IEEE Control. Syst. Lett., 2023)

On the Inconsistency of Estimation with Uncertain Models. - César A. Uribe; James Zachary Hare; Lance M. Kaplan; Ali Jadbabaie (IEEECONF, 2024)

ADMM for Downlink Beamforming in Cell-Free Massive MIMO Systems. - Mehdi Zafari; Divyanshu Pandey; Rahman Doost-Mohammady; César A. Uribe (IEEECONF, 2024)

Competitive Networked Bivirus SIS Spread Over Hypergraphs. - Sebin Gracy; Brian D. O. Anderson; Mengbin Ye; César A. Uribe (ACC, 2024)

Decentralized and Equitable Optimal Transport. - Ivan Lau; Shiqian Ma; César A. Uribe (ACC, 2024)

Efficient Path Planning with Soft Homology Constraints. - Carlos A. Taveras; Santiago Segarra; César A. Uribe (CCTA, 2024)

An Optimal Transport Approach for Network Regression. - Alex G. Zalles; Kai M. Hung; Ann E. Finneran; Lydia Beaudrot; César A. Uribe (CCTA, 2024)

A Moreau Envelope Approach for LQR Meta-Policy Estimation. - Ashwin Aravind; Mohammad Taha Toghani; César A. Uribe (CDC, 2024)

A Discrete-Time Networked Competitive Bivirus SIS Model. - Sebin Gracy; Ji Liu 001; Tamer Basar; César A. Uribe (ECC, 2024)

Adaptive Federated Learning with Auto-Tuned Clients. - Junhyung Lyle Kim; Mohammad Taha Toghani; César A. Uribe; Anastasios Kyrillidis (ICLR, 2024)

PIDformer: Transformer Meets Control Theory. - Tam Minh Nguyen; César A. Uribe; Tan Minh Nguyen; Richard G. Baraniuk (ICML, 2024)

PIDformer: Transformer Meets Control Theory. - Tam Nguyen; César A. Uribe; Tan M. Nguyen; Richard G. Baraniuk (CoRR, 2024)

An Application of Model Reference Adaptive Control for Multi-Agent Synchronization in Drone Networks. - Miguel F. Arevalo-Castiblanco; Yejin Wi; Marzia Cescon; Cesar A. Uribe (CoRR, 2024)

Robust synchronization and policy adaptation for networked heterogeneous agents. - Miguel F. Arevalo-Castiblanco; Eduardo Mojica-Nava; César A. Uribe (CoRR, 2024)

Multi-competitive time-varying networked SIS model with an infrastructure network. - Sebin Gracy; José I. Caiza; Philip E. Paré; César A. Uribe (IFAC J. Syst. Control., 2024)

Near-optimal tensor methods for minimizing the gradient norm of convex functions and accelerated primal-dual tensor methods. - Pavel E. Dvurechensky; Petr Ostroukhov; Alexander V. Gasnikov; César A. Uribe; Anastasiya Ivanova (Optim. Methods Softw., 2024)

Towards Understanding the Endemic Behavior of a Competitive Tri-virus SIS Networked Model. - Sebin Gracy; Mengbin Ye; Brian D. O. Anderson; Cesar A. Uribe (SIAM J. Appl. Dyn. Syst., 2024)

Faster Convergence of Local SGD for Over-Parameterized Models. - Tiancheng Qin; S. Rasoul Etesami 001; César A. Uribe (Trans. Mach. Learn. Res., 2024)

Decentralised convex optimisation with probability-proportional-to-size quantization. - Dmitry Pasechnyuk; Pavel E. Dvurechensky; César A. Uribe; Alexander V. Gasnikov (EURO J. Comput. Optim., 2025)

On Graphs with Finite-Time Consensus and Their Use in Gradient Tracking. - Edward Duc Hien Nguyen; Xin Jiang; Bicheng Ying; César A. Uribe (SIAM J. Optim., 2025)

Sparse Factorization of the Square All-Ones Matrix of Arbitrary Order. - Xin Jiang; Edward Duc Hien Nguyen; César A. Uribe; Bicheng Ying (SIAM J. Matrix Anal. Appl., 2025)