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Journal and Preprints
Faster convergence of local SGD for over-parameterized models C. A. Uribe Transactions on Machine Learning Research , 2024Multi-competitive time-varying networked SIS model with an infrastructure network C. A. Uribe IFAC Journal of Systems and Control , p. 100254, 2024Towards understanding the endemic behavior of a competitive tri-virus SIS networked model C. A. Uribe SIAM Journal on Applied Dynamical Systems , vol. 23, no. 2, pp. 1372–1410, 2024Near-optimal tensor methods for minimizing the gradient norm of convex functions and accelerated primal–dual tensor methods C. A. Uribe , and A. IvanovaOptimization Methods and Software , vol. 0, no. 0, pp. 1–36, 2024PersA-FL: personalized asynchronous federated learning C. A. Uribe Optimization Methods and Software , vol. 0, no. 0, pp. 1–38, 2024The role of local steps in local SGD C. A. Uribe Optimization Methods and Software , vol. 0, no. 0, pp. 1–27, 2023An energy management system model with power quality constraints for unbalanced multi-microgrids interacting in a local energy market C. A. Uribe , and D. PatinoApplied Energy , vol. 343, p. 121149, 2023Pars-push: Personalized, asynchronous and robust decentralized optimization C. A. Uribe IEEE Control Systems Letters , vol. 7, pp. 361–366, 2023Local stochastic factored gradient descent for distributed quantum state tomography C. A. Uribe , and A. KyrillidisIEEE Control Systems Letters , vol. 7, pp. 199–204, 2023Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization C. A. Uribe , and A. GasnikovEURO Journal on Computational Optimization , vol. 10, p. 100045, 2022On arbitrary compression for decentralized consensus and stochastic optimization over directed networks C. A. Uribe European Journal of Control , vol. 68, p. 100682, 2022Robust distributed optimization with randomly corrupted gradients C. A. Uribe , H.-T. Wai, and M. AlizadehIEEE Transactions on Signal Processing , vol. 70, pp. 3484–3498, 2022Approximate Wasserstein attraction flows for dynamic mass transport over networks C. A. Uribe , and C. Ocampo-MartinezAutomatica , vol. 143, p. 110432, 2022Communication-efficient distributed cooperative learning with compressed beliefs C. A. Uribe IEEE Transactions on Control of Network Systems , vol. 9, no. 3, pp. 1215–1226, 2022Nonasymptotic concentration rates in cooperative learning – Part I: Variational non-Bayesian social learning C. A. Uribe , A. Olshevsky, and A. NedićIEEE Transactions on Control of Network Systems , vol. 9, no. 3, pp. 1128–1140, 2022Nonasymptotic concentration rates in cooperative learning – Part II: Inference on compact hypothesis sets C. A. Uribe , A. Olshevsky, and A. NedićIEEE Transactions on Control of Network Systems , vol. 9, no. 3, pp. 1141–1153, 2022A general framework for distributed inference with uncertain models C. A. Uribe , L. Kaplan, and A. JadbabaieIEEE Transactions on Signal and Information Processing over Networks , vol. 7, pp. 392–405, 2021Robust optimization over networks using distributed restarting of accelerated dynamics C. A. Uribe , and N. QuijanoIEEE Control Systems Letters , vol. 5, no. 1, pp. 301–306, 2021Resilient primal–dual optimization algorithms for distributed resource allocation C. A. Uribe , H.-T. Wai, and M. AlizadehIEEE Transactions on Control of Network Systems , vol. 8, no. 1, pp. 282–294, 2021A dual approach for optimal algorithms in distributed optimization over networks C. A. Uribe , S. Lee, A. Gasnikov, and A. NedićOptimization Methods and Software , vol. 36, no. 1, pp. 171–210, 2021Non-Bayesian social learning with uncertain models C. A. Uribe , L. M. Kaplan, and A. JadbabaieIEEE Transactions on Signal Processing , vol. 68, pp. 4178–4193, 2020Accelerating incremental gradient optimization with curvature information C. A. Uribe , A. Nedić, and A. ScaglioneComputational Optimization and Applications , vol. 76, no. 2, pp. 347–380, Jun 2020Optimal distributed convex optimization on slowly time-varying graphs C. A. Uribe , A. V. Gasnikov, N. Malkovsky, and A. NedićIEEE Transactions on Control of Network Systems , vol. 7, no. 2, pp. 829–841, 2020Graph-Theoretic Analysis of Belief System Dynamics under Logic Constraints C. A. Uribe Scientific Reports 9 (1), 8843, 2019Fast Convergence Rates for Distributed Non-Bayesian Learning C. A. Uribe IEEE Transactions on Automatic Control vol. 62, no. 11, pp. 5538-5553, 2017Expert knowledge-guided feature selection for data-based industrial process monitoring C. A. Uribe and C. IsazaRevista Facultad de Ingeniería Universidad de Antioquia , no. 65, pp. 112–125, 12 2012
Submitted and Technical Reports
Networked Competitive Bivirus SIS spread with Higher Order Interactions C. A. Uribe Submitted to SIAM Optimization and Control , 2024Graphical representation of landscape heterogeneity identification through unsupervised acoustic analysis C. A. Uribe , V. Martínez, and C. IsazaSubmitted to Methods in Ecology and Evolution , 2024Decentralized convex optimisation with probability-proportional-to-size quantization C. A. Uribe , and A. GasnikovManuscript submitted to NeurIPS 2024 , June 2024Sparse factorization of the square all-ones matrix of arbitrary order C. A. Uribe , and B. YingSubmitted to SIAM Journal Matrix Analysis and Applications , 2024Goya boycott: A protest in code/space C. A. Uribe Submitted to Social & Cultural Geography , 2024Frequentist guarantees of distributed (non)-Bayesian inference C. A. Uribe arXiv preprint arXiv:2311.08214, Submitted to JMLR , 2023On graphs with finite-time consensus and their use in gradient tracking C. A. Uribe arXiv:2311.01317, Submitted to SIAM Journal on Optimization , 2023Distributed optimization with quantization for computing Wasserstein barycenters C. A. Uribe , A. Gasnikov, and P. DvurechenskyTechnical Report: arXiv:2010.14325 , 2022A distributed cubic-regularized newton method for smooth convex optimization over networks C. A. Uribe and A. JadbabaieTechnical Report: arXiv preprint arXiv:2007.03562 , 2020Generalized self-concordant Hessian-barrier algorithms C. A. Uribe Technical Report: arXiv:1911.01522 , 2019Distributed learning for cooperative inference C. A. Uribe , A. Nedić, and A. OlshevskyTechnical Report: arXiv:1704.02718 , 2017
Machine Learning Conference Proceedings
PIDformer: transformer meets control theory C. A. Uribe , T. M. Nguyen, and R. BaraniukAccepted Forty-first International Conference on Machine Learning ICML 2024 , 2024Adaptive federated learning with auto-tuned clients C. A. Uribe , and A. KyrillidisAccepted to ICLR 2024, arXiv preprint arXiv:2306.11201 , 2023Optimal tensor methods in smooth convex and uniformly convex optimization C. A. Uribe Proceedings of the Thirty-Second Conference on Learning Theory, vol. 99 , 2019, pp. 1374–1391Near optimal methods for minimizing convex functions with Lipschitz p-th derivatives C. A. Uribe , B. Jiang, H. Wang, S. Zhang, S. Bubeck, Q. Jiang, Y. T. Lee, Y. Li, and A. SidfordProceedings of the Thirty-Second Conference on Learning Theory, ser. Proceedings of Machine Learning Research, vol. 99. PMLR , 2019, pp. 1392–1393On the complexity of approximating Wasserstein barycenters C. A. Uribe Proceedings of the 36th International Conference on Machine Learning, vol. 97 , 2019, pp. 3530–3540Decentralize and randomize: Faster algorithm for Wasserstein barycenters C. A. Uribe , and A. NedićAdvances in Neural Information Processing Systems 31 , 2018, pp. 10 760–10 770 Spotlight Presentation, Top 4%
Control Theory Conference Proceedings
A Moreau envelope approach for LQR meta-policy estimation C. A. Uribe Accepted to CDC 2024 , 2024An optimal transport approach for network regression C. A. Uribe Accepted IEEE Conference on Control Technology and Applications (CCTA 2024) , 2024An application of model reference adaptive control for multi-agent synchronization in drone networks C. A. Uribe Accepted IEEE Conference on Control Technology and Applications (CCTA 2024) , 2024Efficient path planning with soft homology constraints C. A. Uribe Accepted IEEE Conference on Control Technology and Applications (CCTA 2024) , 2024A discrete-time networked competitive bivirus SIS model C. A. Uribe 2024 European Control Conference (ECC) , 2024, pp. 3398–3403Decentralized and equitable optimal transport C. A. Uribe Accepted to American Control Conference 2024 , 2024Competitive networked bivirus SIS spread over hypergraphs C. A. Uribe Accepted American Control Conference 2024 , arXiv preprint arXiv:2309.14230, 2024On first-order meta-reinforcement learning with Moreau envelopes C. A. Uribe 2023 62nd IEEE Conference on Decision and Control (CDC) , 2023, pp. 4176–4181On the performance of gradient tracking with local updates C. A. Uribe 2023 62nd IEEE Conference on Decision and Control (CDC) , 2023, pp. 4309–4313Multi-competitive virus spread over a time-varying networked SIS model with an infrastructure network C. A. Uribe , and P. ParéIFAC-PapersOnLine , vol. 56, no. 2, pp. 19–24, 2023, 22nd IFAC World CongressOn the endemic behavior of a competitive tri-Virus SIS networked model C. A. Uribe 2023 American Control Conference , 2023, pp. 2313–2318A state feedback controller for mitigation of continuous-time networked SIS epidemics C. A. Uribe , H. Ishii, and K. H. JohanssonIFAC-PapersOnLine , vol. 55, no. 41, pp. 89–94, 2022, 4th IFAC Workshop on Cyber-Physical and Human Systems CPHS 2022Unbounded gradients in federated learning with buffered asynchronous aggregation C. A. Uribe 2022 58th Annual Allerton Conference on Communication, Control, and Computing (Allerton) , 2022, pp. 1–8Decentralized federated learning for over-parameterized models C. A. Uribe 2022 IEEE 61st Conference on Decision and Control , 2022, pp. 5200–5205On distributed exact sparse linear regression over networks C. A. Uribe 2022 IEEE 61st Conference on Decision and Control , 2022, pp. 6491–6496Distributed generalized Wirtinger flow for interferometric imaging on networks C. A. Uribe IFAC-PapersOnLine , vol. 55, no. 13, pp. 258–263, 2022, 9th IFAC Conference on Networked Systems NECSYS 2022Consensus ADMM-based distributed simultaneous imaging & communication C. A. Uribe IFAC-PapersOnLine , vol. 55, no. 13, pp. 31–36, 2022, 9th IFAC Conference on Networked Systems NECSYS 2022On acceleration of gradient-based empirical risk minimization using local polynomial regression C. A. Uribe 2022 European Control Conference , 2022, pp. 429–434Scalable average consensus with compressed communications C. A. Uribe 2022 American Control Conference , 2022, pp. 3412–3417Computation-aware distributed optimization over networks: A hybrid dynamical systems approach C. A. Uribe Proceedings of the Workshop on Computation-Aware Algorithmic Design for Cyber-Physical Systems , Association for Computing Machinery, 2021, p. 18–19Application of Wasserstein attraction flows for optimal transport in network systems C. A. Uribe , and C. Ocampo-Martinez2021 60th IEEE Conference on Decision and Control (CDC) , 2021, pp. 4058–4063On robustness of the normalized random block coordinate method for non-convex optimization C. A. Uribe , H.-T. Wai, and M. Alizadeh2021 60th IEEE Conference on Decision and Control (CDC) , 2021, pp. 974–980Model reference adaptive control for online policy adaptation and network synchronization C. A. Uribe , and E. Mojica-Nava2021 60th IEEE Conference on Decision and Control , 2021, pp. 4071–4076Toward active sequential hypothesis testing with uncertain models C. A. Uribe , L. Kaplan, and A. Jadbabaie2021 60th IEEE Conference on Decision and Control , 2021, pp. 3709–3716Communication-efficient decentralized local SGD over undirected networks C. A. Uribe 2021 60th IEEE Conference on Decision and Control , 2021, pp. 3361–3366On robustness of the normalized subgradient method with randomly corrupted subgradients C. A. Uribe , H.-T. Wai, and M. Alizadeh2021 American Control Conference , 2021, pp. 965–971Robust asynchronous and network-independent cooperative learning C. A. Uribe 2021 American Control Conference , 2021, pp. 1619–1624Multimarginal optimal transport by accelerated alternating minimization C. A. Uribe 2020 59th IEEE Conference on Decision and Control , 2020, pp. 6132–6137Non-Bayesian social learning with gaussian uncertain models C. A. Uribe , L. Kaplan, and A. Jadbabaie2020 American Control Conference , 2020, pp. 4484–4490Resilient distributed optimization algorithms for resource allocation C. A. Uribe , H. Wai, and M. AlizadehIEEE Conference on Decision and Control , 2019, pp. 8341–8346Non-Bayesian social learning with uncertain models over time-varying directed graphs C. A. Uribe , J. Hare, L. Kaplan, and A. JadbabaieIEEE Conference on Decision and Control , 2019, pp. 3635–3640Hybrid robust optimal resource allocation with momentum C. A. Uribe , and N. QuijanoIEEE Control and Decision Conference , 2019, pp. 3954–3959On primal and dual approaches for distributed stochastic convex optimization over networks C. A. Uribe IEEE Conference on Decision and Control , 2019, pp. 7435–7440Achieving acceleration in distributed optimization via direct discretization of the Heavy-Ball ODE C. A. Uribe , A. Mokhtari, and A. JadbabaieAmerican Control Conference , 2019, pp. 3408–3413On increasing self-confidence in non-Bayesian social learning over time-varying directed graphs C. A. Uribe and A. JadbabaieAmerican Control Conference , 2019, pp. 3532–3537A method for distributed transactive control in power systems based on the projected consensus algorithm C. A. Uribe , and E. Mojica-NavaIFAC-PapersOnLine , vol. 51, no. 23, pp. 379–384, 2018, 7th IFAC Workshop on Distributed Estimation and Control in Networked Systems NECSYS 2018Distributed computation of Wasserstein barycenters over networks C. A. Uribe , D. Dvinskikh, P. Dvurechensky, A. Gasnikov, and A. NedićIEEE Conference on Decision and Control , 2018, pp. 6544–6549Geometrically convergent distributed optimization with uncoordinated step-sizes C. A. Uribe , A. Nedić, A. Olshevsky, and W. ShiAmerican Control Conference , 2017, pp. 3950–3955Distributed learning with infinitely many hypotheses C. A. Uribe , A. Nedić, and A. OlshevskyIEEE Conference on Decision and Control , 2016, pp. 6321–6326A tutorial on distributed (non-Bayesian) learning: Problem, algorithms and results C. A. Uribe , A. Nedić, and A. OlshevskyIEEE Conference on Decision and Control , 2016, pp. 6795–6801Network independent rates in distributed learning C. A. Uribe , A. Nedić, and A. OlshevskyAmerican Control Conference , 2016, pp. 1072–1077Nonasymptotic convergence rates for cooperative learning over time-varying directed graphs C. A. Uribe , A. Nedić, and A. OlshevskyAmerican Control Conference , 2015, pp. 5884–5889Computing optimal control laws for finite stochastic systems with non-classical information patterns C. A. Uribe , T. Keviczky, and J. H. van SchuppenAmerican Control Conference , 2014, pp. 5742–5747Analysis of signaling in a finite stochastic system motivated by decentralized control C. A. Uribe and J. H. van SchuppenIEEE Conference on Decision and Control , 2013, pp. 5884–5889
Signal Processing Conference Proceedings
On the inconsistency of estimation with uncertain models C. A. Uribe , J. Hare, L. Kaplan, and A. JadbabaieAccepted to Asilomar Conference 2024 , 2024ADMM for Downlink Beamforming in Cell-Free Massive MIMO Systems C. A. Uribe Accepted to Asilomar 2024 , 2024Improving denoising diffusion probabilistic models via exploiting shared representations C. A. Uribe 2023 57th Asilomar Conference on Signals, Systems, and Computers , 2023, pp. 789–793Communication-efficient and fault-tolerant social learning C. A. Uribe 2021 55th Asilomar Conference on Signals, Systems, and Computers , 2021, pp. 1037–1042Communication constrained learning with uncertain models C. A. Uribe , L. Kaplan, and A. JadbabaieInternational Conference on Acoustics, Speech, and Signal Processing (ICASSP) , 2020, pp. 8609–8613On malicious agents in non-Bayesian social learning with uncertain models C. A. Uribe , J. Hare, L. Kaplan, and A. JadbabaieInternational Conference on Information Fusion , 2019, pp. 1–8Distributed Gaussian learning over time-varying directed graphs C. A. Uribe Asilomar Conference on Signals, Systems and Computers , 2016, pp. 1710–1714Unsupervised feature selection based on fuzzy partition optimization for industrial processes monitoring C. A. Uribe and C. Isaza2011 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA) , 2011, pp. 1–5Qualitative-fuzzy decision support system for monitoring patients with cardiovascular risk C. A. Uribe , C. Isaza, and J. F. Florez-Arango2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) , vol. 3, 2011, pp. 1621–1625A wrapper approach based on clustering for sensors selection of industrial monitoring systems C. A. Uribe , C. Isaza, O. Gualdron, C. Duran, and A. Carvajal2010 International Conference on Broadband, Wireless Computing, Communication and Applications , 2010, pp. 482–487
Book Chapters
Gradient methods for problems with inexact model of the objective C. A. Uribe , D. Pasechnyuk, and S. ArtamonovMathematical Optimization Theory and Operations Research , Springer International Publishing, 2019, pp. 97–114Signaling of information C. A. Uribe and J. H. van SchuppenCoordination Control of Distributed Systems , J. H. van Schuppen and T. Villa, Eds. Springer International Publishing, 2015, pp. 165–172Unsupervised feature selection based on fuzzy clustering for fault detection of the Tennessee Eastman process C. A. Uribe , and C. IsazaAdvances in Artificial Intelligence – IBERAMIA 2012 , Berlin, Heidelberg: Springer Berlin Heidelberg, 2012, pp. 350–360