César A. Uribe
Orcid: 0000-0002-7080-9724Affiliations:
- University of Illinois at Urbana-Champaign, Urbana, IL, USA
According to our database1,
César A. Uribe
authored at least 91 papers
between 2009 and 2024.
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Online presence:
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Bibliography
2024
Trans. Mach. Learn. Res., 2024
Near-optimal tensor methods for minimizing the gradient norm of convex functions and accelerated primal-dual tensor methods.
Optim. Methods Softw., 2024
IFAC J. Syst. Control., 2024
CoRR, 2024
An Application of Model Reference Adaptive Control for Multi-Agent Synchronization in Drone Networks.
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the European Control Conference, 2024
Proceedings of the IEEE Conference on Control Technology and Applications, 2024
Proceedings of the IEEE Conference on Control Technology and Applications, 2024
Proceedings of the American Control Conference, 2024
Proceedings of the American Control Conference, 2024
2023
IEEE Control. Syst. Lett., 2023
IEEE Control. Syst. Lett., 2023
Towards Understanding the Endemic Behavior of a Competitive Tri-Virus SIS Networked Model.
CoRR, 2023
Multi-Competitive Virus Spread over a Time-Varying Networked SIS Model with an Infrastructure Network.
CoRR, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the American Control Conference, 2023
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
2022
IEEE Trans. Signal Process., 2022
Nonasymptotic Concentration Rates in Cooperative Learning - Part II: Inference on Compact Hypothesis Sets.
IEEE Trans. Control. Netw. Syst., 2022
Nonasymptotic Concentration Rates in Cooperative Learning-Part I: Variational Non-Bayesian Social Learning.
IEEE Trans. Control. Netw. Syst., 2022
IEEE Trans. Control. Netw. Syst., 2022
On arbitrary compression for decentralized consensus and stochastic optimization over directed networks.
Eur. J. Control, 2022
Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization.
EURO J. Comput. Optim., 2022
An energy management system model with power quality constraints for unbalanced multi-microgrids interacting in a local energy market.
CoRR, 2022
A State Feedback Controller for Mitigation of Continuous-Time Networked SIS Epidemics.
CoRR, 2022
Autom., 2022
On Acceleration of Gradient-Based Empirical Risk Minimization using Local Polynomial Regression.
Proceedings of the European Control Conference, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the American Control Conference, 2022
Proceedings of the 58th Annual Allerton Conference on Communication, 2022
2021
IEEE Trans. Signal Inf. Process. over Networks, 2021
IEEE Trans. Control. Netw. Syst., 2021
Optim. Methods Softw., 2021
Robust Optimization Over Networks Using Distributed Restarting of Accelerated Dynamics.
IEEE Control. Syst. Lett., 2021
Computation-aware distributed optimization over networks: a hybrid dynamical systems approach.
Proceedings of the CAADCPS '21: Proceedings of the Workshop on Computation-Aware Algorithmic Design for Cyber-Physical Systems, 2021
On Robustness of the Normalized Random Block Coordinate Method for Non-Convex Optimization.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Application of Wasserstein Attraction Flows for Optimal Transport in Network Systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Model Reference Adaptive Control for Online Policy Adaptation and Network Synchronization.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
On Robustness of the Normalized Subgradient Method with Randomly Corrupted Subgradients.
Proceedings of the 2021 American Control Conference, 2021
Proceedings of the 2021 American Control Conference, 2021
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
2020
IEEE Trans. Signal Process., 2020
IEEE Trans. Control. Netw. Syst., 2020
A Distributed Cubic-Regularized Newton Method for Smooth Convex Optimization over Networks.
CoRR, 2020
Comput. Optim. Appl., 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Proceedings of the 2020 American Control Conference, 2020
2019
Proceedings of the Mathematical Optimization Theory and Operations Research, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 22th International Conference on Information Fusion, 2019
Proceedings of the Conference on Learning Theory, 2019
Near Optimal Methods for Minimizing Convex Functions with Lipschitz $p$-th Derivatives.
Proceedings of the Conference on Learning Theory, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Non-Bayesian Social Learning with Uncertain Models over Time-Varying Directed Graphs.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
On Primal and Dual Approaches for Distributed Stochastic Convex Optimization over Networks.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Achieving Acceleration in Distributed Optimization via Direct Discretization of the Heavy-Ball ODE.
Proceedings of the 2019 American Control Conference, 2019
On Increasing Self-Confidence in Non-Bayesian Social Learning over Time-Varying Directed Graphs.
Proceedings of the 2019 American Control Conference, 2019
2018
CoRR, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
IEEE Trans. Autom. Control., 2017
Proceedings of the 2017 American Control Conference, 2017
2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 2016 American Control Conference, 2016
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
2015
Nonasymptotic convergence rates for cooperative learning over time-varying directed graphs.
Proceedings of the American Control Conference, 2015
2014
Computing optimal control laws for finite stochastic systems with non-classical information patterns.
Proceedings of the American Control Conference, 2014
2013
Analysis of signaling in a finite stochastic system motivated by decentralized control.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
2012
Unsupervised Feature Selection Based on Fuzzy Clustering for Fault Detection of the Tennessee Eastman Process.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012
2011
Qualitative-fuzzy decision support system for monitoring patients with cardiovascular risk.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011
2010
A Wrapper Approach Based on Clustering for Sensors Selection of Industrial Monitoring Systems.
Proceedings of the Fifth International Conference on Broadband and Wireless Computing, 2010
2009
Integration Methodology of Face Detection and Speech Recognition.
Proceedings of the 2009 International Conference on Image Processing, 2009