Cesar A. Uribe

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	An Application of Model Reference Adaptive Control for Multi-Agent Synchronization in Drone Networks. CoRR Miguel F. Arevalo-Castiblanco, Yejin Wi, Marzia Cescon, Cesar A. Uribe
2024	J	`jnl`	Towards Understanding the Endemic Behavior of a Competitive Tri-virus SIS Networked Model. SIAM J. Appl. Dyn. Syst. Sebin Gracy, Mengbin Ye, Brian D. O. Anderson, Cesar A. Uribe
2023	J	`jnl`	A Discrete-time Networked Competitive Bivirus SIS Model. CoRR Sebin Gracy, Ji Liu, Tamer Basar, Cesar A. Uribe
2023	J	`jnl`	Competitive Networked Bivirus SIS spread over Hypergraphs. CoRR Sebin Gracy, Brian D. O. Anderson, Mengbin Ye, Cesar A. Uribe
2023	J	`jnl`	Towards Understanding the Endemic Behavior of a Competitive Tri-Virus SIS Networked Model. CoRR Sebin Gracy, Mengbin Ye, Brian D. O. Anderson, Cesar A. Uribe
2022	J	`jnl`	On the Endemic Behavior of a Competitive Tri-Virus SIS Networked Model. CoRR Sebin Gracy, Mengbin Ye, Brian D. O. Anderson, Cesar A. Uribe
2021	J	`jnl`	Communication-Efficient Distributed Cooperative Learning with Compressed Beliefs. CoRR Mohammad Taha Toghani, Cesar A. Uribe
2021	J	`jnl`	Robust Distributed Optimization With Randomly Corrupted Gradients. CoRR Berkay Turan, Cesar A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh
2020	C	`conf`	Non-Bayesian Social Learning with Gaussian Uncertain Models. ACC James Zachary Hare, Cesar A. Uribe, Lance M. Kaplan, Ali Jadbabaie
2020	J	`jnl`	Resilient Primal-Dual Optimization Algorithms for Distributed Resource Allocation. CoRR Berkay Turan, Cesar A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh
2019	J	`jnl`	Non-Bayesian Social Learning with Uncertain Models. CoRR James Zachary Hare, Cesar A. Uribe, Lance M. Kaplan, Ali Jadbabaie
2019	A*	`conf`	On the Complexity of Approximating Wasserstein Barycenters. ICML Alexey Kroshnin, Nazarii Tupitsa, Darina Dvinskikh, Pavel E. Dvurechensky, Alexander V. Gasnikov, Cesar A. Uribe
2018	—	`conf`	Distributed Computation of Wasserstein Barycenters Over Networks. CDC Cesar A. Uribe, Darina Dvinskikh, Pavel E. Dvurechensky, Alexander V. Gasnikov, Angelia Nedic
2017	J	`jnl`	Fast Convergence Rates for Distributed Non-Bayesian Learning. IEEE Trans. Autom. Control. Angelia Nedic, Alex Olshevsky, Cesar A. Uribe
2017	C	`conf`	Geometrically convergent distributed optimization with uncoordinated step-sizes. ACC Angelia Nedic, Alex Olshevsky, Wei Shi, Cesar A. Uribe
2016	J	`jnl`	A Tutorial on Distributed (Non-Bayesian) Learning: Problem, Algorithms and Results. CoRR Angelia Nedic, Alex Olshevsky, Cesar A. Uribe
2016	—	`conf`	A tutorial on distributed (non-Bayesian) learning: Problem, algorithms and results. CDC Angelia Nedic, Alex Olshevsky, Cesar A. Uribe
2016	J	`jnl`	Distributed Gaussian Learning over Time-varying Directed Graphs. CoRR Angelia Nedic, Alex Olshevsky, Cesar A. Uribe
2016	Misc	`conf`	Distributed Gaussian learning over time-varying directed graphs. ACSSC Angelia Nedic, Alex Olshevsky, Cesar A. Uribe
2016	J	`jnl`	Distributed Learning with Infinitely Many Hypotheses. CoRR Angelia Nedic, Alex Olshevsky, Cesar A. Uribe
2016	—	`conf`	Distributed learning with infinitely many hypotheses. CDC Angelia Nedic, Alex Olshevsky, Cesar A. Uribe
2016	J	`jnl`	Geometrically Convergent Distributed Optimization with Uncoordinated Step-Sizes. CoRR Angelia Nedic, Alex Olshevsky, Wei Shi, Cesar A. Uribe
2016	C	`conf`	Network independent rates in distributed learning. ACC Angelia Nedic, Alex Olshevsky, Cesar A. Uribe
2015	C	`conf`	Nonasymptotic convergence rates for cooperative learning over time-varying directed graphs. ACC Angelia Nedic, Alex Olshevsky, Cesar A. Uribe
2014	C	`conf`	Computing optimal control laws for finite stochastic systems with non-classical information patterns. ACC Cesar A. Uribe, Tamás Keviczky, Jan H. van Schuppen
2013	—	`conf`	Analysis of signaling in a finite stochastic system motivated by decentralized control. CDC Cesar A. Uribe, Jan H. van Schuppen
2012	—	`conf`	Unsupervised Feature Selection Based on Fuzzy Clustering for Fault Detection of the Tennessee Eastman Process. IBERAMIA Carol Bedoya, Cesar A. Uribe, Claudia Isaza
2011	—	`conf`	Qualitative-fuzzy decision support system for monitoring patients with cardiovascular risk. FSKD Cesar A. Uribe, Claudia Isaza, Jose F. Florez-Arango
2010	—	`conf`	A Wrapper Approach Based on Clustering for Sensors Selection of Industrial Monitoring Systems. BWCCA Cesar A. Uribe, Claudia Isaza, Oscar Gualdron, Cristian Duran, Adrian Carvajal
2009	—	`conf`	Integration Methodology of Face Detection and Speech Recognition. IPCV Cesar A. Uribe, Claudia Isaza

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