Publications

Journal and Preprints

  1. Faster convergence of local SGD for over-parameterized models
    T. Qin, S. R. Etesami, and C. A. Uribe
    Transactions on Machine Learning Research, 2024
  2. Multi-competitive time-varying networked SIS model with an infrastructure network
    S. Gracy, J. I. Caiza, P. Paré, and C. A. Uribe
    IFAC Journal of Systems and Control, p. 100254, 2024
  3. Towards understanding the endemic behavior of a competitive tri-virus SIS networked model
    S. Gracy, M. Ye, B. Anderson, and C. A. Uribe
    SIAM Journal on Applied Dynamical Systems, vol. 23, no. 2, pp. 1372–1410, 2024
  4. Near-optimal tensor methods for minimizing the gradient norm of convex functions and accelerated primal–dual tensor methods
    P. Dvurechensky, P. Ostroukhov, A. Gasnikov, C. A. Uribe, and A. Ivanova
    Optimization Methods and Software, vol. 0, no. 0, pp. 1–36, 2024
  5. PersA-FL: personalized asynchronous federated learning
    M. T. Toghani, S. Lee, and C. A. Uribe
    Optimization Methods and Software, vol. 0, no. 0, pp. 1–38, 2024
  6. The role of local steps in local SGD
    T. Qin, S. R. Etesami, and C. A. Uribe
    Optimization Methods and Software, vol. 0, no. 0, pp. 1–27, 2023
  7. An energy management system model with power quality constraints for unbalanced multi-microgrids interacting in a local energy market
    J. Castellanos, C. A. Correa-Floreza, A. Garcés, G. Ordóñez-Platad, C. A. Uribe, and D. Patino
    Applied Energy, vol. 343, p. 121149, 2023
  8. Pars-push: Personalized, asynchronous and robust decentralized optimization
    M. T. Toghani, S. Lee, and C. A. Uribe
    IEEE Control Systems Letters, vol. 7, pp. 361–366, 2023
  9. Local stochastic factored gradient descent for distributed quantum state tomography
    J. L. Kim, M. T. Toghani, C. A. Uribe, and A. Kyrillidis
    IEEE Control Systems Letters, vol. 7, pp. 199–204, 2023
  10. Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization
    P. Dvurechensky, D. Kamzolov, A. Lukashevich, S. Lee, E. Ordentlich, C. A. Uribe, and A. Gasnikov
    EURO Journal on Computational Optimization, vol. 10, p. 100045, 2022
  11. On arbitrary compression for decentralized consensus and stochastic optimization over directed networks
    M. T. Toghani and C. A. Uribe
    European Journal of Control, vol. 68, p. 100682, 2022
  12. Robust distributed optimization with randomly corrupted gradients
    B. Turan, C. A. Uribe, H.-T. Wai, and M. Alizadeh
    IEEE Transactions on Signal Processing, vol. 70, pp. 3484–3498, 2022
  13. Approximate Wasserstein attraction flows for dynamic mass transport over networks
    F. Arqué, C. A. Uribe, and C. Ocampo-Martinez
    Automatica, vol. 143, p. 110432, 2022
  14. Communication-efficient distributed cooperative learning with compressed beliefs
    M. T. Toghani and C. A. Uribe
    IEEE Transactions on Control of Network Systems, vol. 9, no. 3, pp. 1215–1226, 2022
  15. Nonasymptotic concentration rates in cooperative learning – Part I: Variational non-Bayesian social learning
    C. A. Uribe, A. Olshevsky, and A. Nedić
    IEEE Transactions on Control of Network Systems, vol. 9, no. 3, pp. 1128–1140, 2022
  16. Nonasymptotic concentration rates in cooperative learning – Part II: Inference on compact hypothesis sets
    C. A. Uribe, A. Olshevsky, and A. Nedić
    IEEE Transactions on Control of Network Systems, vol. 9, no. 3, pp. 1141–1153, 2022
  17. A general framework for distributed inference with uncertain models
    J. Z. Hare, C. A. Uribe, L. Kaplan, and A. Jadbabaie
    IEEE Transactions on Signal and Information Processing over Networks, vol. 7, pp. 392–405, 2021
  18. Robust optimization over networks using distributed restarting of accelerated dynamics
    D. E. Ochoa, J. I. Poveda, C. A. Uribe, and N. Quijano
    IEEE Control Systems Letters, vol. 5, no. 1, pp. 301–306, 2021
  19. Resilient primal–dual optimization algorithms for distributed resource allocation
    B. Turan, C. A. Uribe, H.-T. Wai, and M. Alizadeh
    IEEE Transactions on Control of Network Systems, vol. 8, no. 1, pp. 282–294, 2021
  20. A dual approach for optimal algorithms in distributed optimization over networks
    C. A. Uribe, S. Lee, A. Gasnikov, and A. Nedić
    Optimization Methods and Software, vol. 36, no. 1, pp. 171–210, 2021
  21. Non-Bayesian social learning with uncertain models
    J. Z. Hare, C. A. Uribe, L. M. Kaplan, and A. Jadbabaie
    IEEE Transactions on Signal Processing, vol. 68, pp. 4178–4193, 2020
  22. Accelerating incremental gradient optimization with curvature information
    H.-T. Wai, W. Shi, C. A. Uribe, A. Nedić, and A. Scaglione
    Computational Optimization and Applications, vol. 76, no. 2, pp. 347–380, Jun 2020
  23. Optimal distributed convex optimization on slowly time-varying graphs
    A. Rogozin, C. A. Uribe, A. V. Gasnikov, N. Malkovsky, and A. Nedić
    IEEE Transactions on Control of Network Systems, vol. 7, no. 2, pp. 829–841, 2020
  24. Graph-Theoretic Analysis of Belief System Dynamics under Logic Constraints
    A. Nedić, A. Olshevsky, and C. A. Uribe
    Scientific Reports 9 (1), 8843, 2019
  25. Fast Convergence Rates for Distributed Non-Bayesian Learning
    A. Nedić, A. Olshevsky, and C. A. Uribe
    IEEE Transactions on Automatic Control vol. 62, no. 11, pp. 5538-5553, 2017
  26. Expert knowledge-guided feature selection for data-based industrial process monitoring
    C. A. Uribe and C. Isaza
    Revista Facultad de Ingeniería Universidad de Antioquia, no. 65, pp. 112–125, 12 2012

Submitted and Technical Reports

  1. Networked Competitive Bivirus SIS spread with Higher Order Interactions
    S. Gracy, B. D. Anderson, M. Ye, and C. A. Uribe
    Submitted to SIAM Optimization and Control, 2024
  2. Graphical representation of landscape heterogeneity identification through unsupervised acoustic analysis
    M. Guerrero, C. Sánchez-Giraldo, C. A. Uribe, V. Martínez, and C. Isaza
    Submitted to Methods in Ecology and Evolution, 2024
  3. Decentralized convex optimisation with probability-proportional-to-size quantization
    D. Pasechnyuk, P. Dvurechensky, C. A. Uribe, and A. Gasnikov
    Manuscript submitted to NeurIPS 2024, June 2024
  4. Sparse factorization of the square all-ones matrix of arbitrary order
    X. Jiang, E. D. H. Nguyen, C. A. Uribe, and B. Ying
    Submitted to SIAM Journal Matrix Analysis and Applications, 2024
  5. Goya boycott: A protest in code/space
    M. E. Lugo-Vélez, A. R. Guhlincozzi, S. Gupta, and C. A. Uribe
    Submitted to Social & Cultural Geography, 2024
  6. Frequentist guarantees of distributed (non)-Bayesian inference
    B. Wu and C. A. Uribe
    arXiv preprint arXiv:2311.08214, Submitted to JMLR, 2023
  7. On graphs with finite-time consensus and their use in gradient tracking
    E. D. H. Nguyen, X. Jiang, B. Ying, and C. A. Uribe
    arXiv:2311.01317, Submitted to SIAM Journal on Optimization, 2023
  8. Distributed optimization with quantization for computing Wasserstein barycenters
    R. Krawtschenko, C. A. Uribe, A. Gasnikov, and P. Dvurechensky
    Technical Report: arXiv:2010.14325, 2022
  9. A distributed cubic-regularized newton method for smooth convex optimization over networks
    C. A. Uribe and A. Jadbabaie
    Technical Report: arXiv preprint arXiv:2007.03562, 2020
  10. Generalized self-concordant Hessian-barrier algorithms
    P. Dvurechensky, M. Staudigl, and C. A. Uribe
    Technical Report: arXiv:1911.01522, 2019
  11. Distributed learning for cooperative inference
    C. A. Uribe, A. Nedić, and A. Olshevsky
    Technical Report: arXiv:1704.02718, 2017

Machine Learning Conference Proceedings

  1. PIDformer: transformer meets control theory
    T. M. Nguyen, C. A. Uribe, T. M. Nguyen, and R. Baraniuk
    Accepted Forty-first International Conference on Machine Learning ICML 2024, 2024
  2. Adaptive federated learning with auto-tuned clients
    J. L. Kim, M. T. Toghani, C. A. Uribe, and A. Kyrillidis
    Accepted to ICLR 2024, arXiv preprint arXiv:2306.11201, 2023
  3. Optimal tensor methods in smooth convex and uniformly convex optimization
    A. Gasnikov, P. Dvurechensky, E. Gorbunov, E. Vorontsova, D. Selikhanovych, and C. A. Uribe
    Proceedings of the Thirty-Second Conference on Learning Theory, vol. 99, 2019, pp. 1374–1391
  4. Near optimal methods for minimizing convex functions with Lipschitz p-th derivatives
    A. Gasnikov, P. Dvurechensky, E. Gorbunov, E. Vorontsova, D. Selikhanovych, C. A. Uribe, B. Jiang, H. Wang, S. Zhang, S. Bubeck, Q. Jiang, Y. T. Lee, Y. Li, and A. Sidford
    Proceedings of the Thirty-Second Conference on Learning Theory, ser. Proceedings of Machine Learning Research, vol. 99. PMLR, 2019, pp. 1392–1393
  5. On the complexity of approximating Wasserstein barycenters
    A. Kroshnin, N. Tupitsa, D. Dvinskikh, P. Dvurechensky, A. Gasnikov, and C. A. Uribe
    Proceedings of the 36th International Conference on Machine Learning, vol. 97, 2019, pp. 3530–3540
  6. Decentralize and randomize: Faster algorithm for Wasserstein barycenters
    P. Dvurechenskii, D. Dvinskikh, A. Gasnikov, C. A. Uribe, and A. Nedić
    Advances in Neural Information Processing Systems 31, 2018, pp. 10 760–10 770 Spotlight Presentation, Top 4%

Control Theory Conference Proceedings

  1. A Moreau envelope approach for LQR meta-policy estimation
    A. Aravind, M. T. Toghani, and C. A. Uribe
    Accepted to CDC 2024, 2024
  2. An optimal transport approach for network regression
    A. G. Zalles, K. M. Hung, A. E. Finneran, L. Beaudrot, and C. A. Uribe
    Accepted IEEE Conference on Control Technology and Applications (CCTA 2024), 2024
  3. An application of model reference adaptive control for multi-agent synchronization in drone networks
    M. F. Arevalo-Castiblanco, Y. Wi, M. Cescon, and C. A. Uribe
    Accepted IEEE Conference on Control Technology and Applications (CCTA 2024), 2024
  4. Efficient path planning with soft homology constraints
    C. A. Taveras, S. Segarra, and C. A. Uribe
    Accepted IEEE Conference on Control Technology and Applications (CCTA 2024), 2024
  5. A discrete-time networked competitive bivirus SIS model
    S. Gracy, J. Liu, T. Basar, and C. A. Uribe
    2024 European Control Conference (ECC), 2024, pp. 3398–3403
  6. Decentralized and equitable optimal transport
    I. Lau, S. Ma, and C. A. Uribe
    Accepted to American Control Conference 2024, 2024
  7. Competitive networked bivirus SIS spread over hypergraphs
    S. Gracy, B. Anderson, M. Ye, and C. A. Uribe
    Accepted American Control Conference 2024, arXiv preprint arXiv:2309.14230, 2024
  8. On first-order meta-reinforcement learning with Moreau envelopes
    M. T. Toghani, S. Perez-Salazar, and C. A. Uribe
    2023 62nd IEEE Conference on Decision and Control (CDC), 2023, pp. 4176–4181
  9. On the performance of gradient tracking with local updates
    E. Nguyen, S. Alghunaim, K. Yuan, and C. A. Uribe
    2023 62nd IEEE Conference on Decision and Control (CDC), 2023, pp. 4309–4313
  10. Multi-competitive virus spread over a time-varying networked SIS model with an infrastructure network
    S. Gracy, Y. Wang, C. A. Uribe, and P. Paré
    IFAC-PapersOnLine, vol. 56, no. 2, pp. 19–24, 2023, 22nd IFAC World Congress
  11. On the endemic behavior of a competitive tri-Virus SIS networked model
    S. Gracy, M. Ye, B. Anderson, and C. A. Uribe
    2023 American Control Conference, 2023, pp. 2313–2318
  12. A state feedback controller for mitigation of continuous-time networked SIS epidemics
    Y. Wang, S. Gracy, C. A. Uribe, H. Ishii, and K. H. Johansson
    IFAC-PapersOnLine, vol. 55, no. 41, pp. 89–94, 2022, 4th IFAC Workshop on Cyber-Physical and Human Systems CPHS 2022
  13. Unbounded gradients in federated learning with buffered asynchronous aggregation
    M. T. Toghani, S. Lee, and C. A. Uribe
    2022 58th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2022, pp. 1–8
  14. Decentralized federated learning for over-parameterized models
    T. Qin, S. R. Etesami, and C. A. Uribe
    2022 IEEE 61st Conference on Decision and Control, 2022, pp. 5200–5205
  15. On distributed exact sparse linear regression over networks
    T. Anh-Nguyen and C. A. Uribe
    2022 IEEE 61st Conference on Decision and Control, 2022, pp. 6491–6496
  16. Distributed generalized Wirtinger flow for interferometric imaging on networks
    S. M. Farrell, A. Veeraraghavan, A. Sabharwal, and C. A. Uribe
    IFAC-PapersOnLine, vol. 55, no. 13, pp. 258–263, 2022, 9th IFAC Conference on Networked Systems NECSYS 2022
  17. Consensus ADMM-based distributed simultaneous imaging & communication
    N. Mehrotra, A. Sabharwal, and C. A. Uribe
    IFAC-PapersOnLine, vol. 55, no. 13, pp. 31–36, 2022, 9th IFAC Conference on Networked Systems NECSYS 2022
  18. On acceleration of gradient-based empirical risk minimization using local polynomial regression
    E. Trimbach, E. Nguyen, and C. A. Uribe
    2022 European Control Conference, 2022, pp. 429–434
  19. Scalable average consensus with compressed communications
    M. T. Toghani and C. A. Uribe
    2022 American Control Conference, 2022, pp. 3412–3417
  20. Computation-aware distributed optimization over networks: A hybrid dynamical systems approach
    D. E. Ochoa, J. I. Poveda, and C. A. Uribe
    Proceedings of the Workshop on Computation-Aware Algorithmic Design for Cyber-Physical Systems, Association for Computing Machinery, 2021, p. 18–19
  21. Application of Wasserstein attraction flows for optimal transport in network systems
    F. Arqué, C. A. Uribe, and C. Ocampo-Martinez
    2021 60th IEEE Conference on Decision and Control (CDC), 2021, pp. 4058–4063
  22. On robustness of the normalized random block coordinate method for non-convex optimization
    B. Turan, C. A. Uribe, H.-T. Wai, and M. Alizadeh
    2021 60th IEEE Conference on Decision and Control (CDC), 2021, pp. 974–980
  23. Model reference adaptive control for online policy adaptation and network synchronization
    M. Arevalo-Castiblanco, C. A. Uribe, and E. Mojica-Nava
    2021 60th IEEE Conference on Decision and Control, 2021, pp. 4071–4076
  24. Toward active sequential hypothesis testing with uncertain models
    J. Z. Hare, C. A. Uribe, L. Kaplan, and A. Jadbabaie
    2021 60th IEEE Conference on Decision and Control, 2021, pp. 3709–3716
  25. Communication-efficient decentralized local SGD over undirected networks
    T. Qin, S. R. Etesami, and C. A. Uribe
    2021 60th IEEE Conference on Decision and Control, 2021, pp. 3361–3366
  26. On robustness of the normalized subgradient method with randomly corrupted subgradients
    B. Turan, C. A. Uribe, H.-T. Wai, and M. Alizadeh
    2021 American Control Conference, 2021, pp. 965–971
  27. Robust asynchronous and network-independent cooperative learning
    E. Mojica-Nava, D. Yanguas-Rojas, and C. A. Uribe
    2021 American Control Conference, 2021, pp. 1619–1624
  28. Multimarginal optimal transport by accelerated alternating minimization
    N. Tupitsa, P. Dvurechensky, A. Gasnikov, and C. A. Uribe
    2020 59th IEEE Conference on Decision and Control, 2020, pp. 6132–6137
  29. Non-Bayesian social learning with gaussian uncertain models
    J. Z. Hare, C. A. Uribe, L. Kaplan, and A. Jadbabaie
    2020 American Control Conference, 2020, pp. 4484–4490
  30. Resilient distributed optimization algorithms for resource allocation
    C. A. Uribe, H. Wai, and M. Alizadeh
    IEEE Conference on Decision and Control, 2019, pp. 8341–8346
  31. Non-Bayesian social learning with uncertain models over time-varying directed graphs
    C. A. Uribe, J. Hare, L. Kaplan, and A. Jadbabaie
    IEEE Conference on Decision and Control, 2019, pp. 3635–3640
  32. Hybrid robust optimal resource allocation with momentum
    D. Ochoa, J. Poveda, C. A. Uribe, and N. Quijano
    IEEE Control and Decision Conference, 2019, pp. 3954–3959
  33. On primal and dual approaches for distributed stochastic convex optimization over networks
    D. Dvinskikh, E. Gorbunov, A. Gasnikov, P. Dvurechensky, and C. A. Uribe
    IEEE Conference on Decision and Control, 2019, pp. 7435–7440
  34. Achieving acceleration in distributed optimization via direct discretization of the Heavy-Ball ODE
    J. Zhang, C. A. Uribe, A. Mokhtari, and A. Jadbabaie
    American Control Conference, 2019, pp. 3408–3413
  35. On increasing self-confidence in non-Bayesian social learning over time-varying directed graphs
    C. A. Uribe and A. Jadbabaie
    American Control Conference, 2019, pp. 3532–3537
  36. A method for distributed transactive control in power systems based on the projected consensus algorithm
    E. Baron-Prada, C. A. Uribe, and E. Mojica-Nava
    IFAC-PapersOnLine, vol. 51, no. 23, pp. 379–384, 2018, 7th IFAC Workshop on Distributed Estimation and Control in Networked Systems NECSYS 2018
  37. Distributed computation of Wasserstein barycenters over networks
    C. A. Uribe, D. Dvinskikh, P. Dvurechensky, A. Gasnikov, and A. Nedić
    IEEE Conference on Decision and Control, 2018, pp. 6544–6549
  38. Geometrically convergent distributed optimization with uncoordinated step-sizes
    C. A. Uribe, A. Nedić, A. Olshevsky, and W. Shi
    American Control Conference, 2017, pp. 3950–3955
  39. Distributed learning with infinitely many hypotheses
    C. A. Uribe, A. Nedić, and A. Olshevsky
    IEEE Conference on Decision and Control, 2016, pp. 6321–6326
  40. A tutorial on distributed (non-Bayesian) learning: Problem, algorithms and results
    C. A. Uribe, A. Nedić, and A. Olshevsky
    IEEE Conference on Decision and Control, 2016, pp. 6795–6801
  41. Network independent rates in distributed learning
    C. A. Uribe, A. Nedić, and A. Olshevsky
    American Control Conference, 2016, pp. 1072–1077
  42. Nonasymptotic convergence rates for cooperative learning over time-varying directed graphs
    C. A. Uribe, A. Nedić, and A. Olshevsky
    American Control Conference, 2015, pp. 5884–5889
  43. Computing optimal control laws for finite stochastic systems with non-classical information patterns
    C. A. Uribe, T. Keviczky, and J. H. van Schuppen
    American Control Conference, 2014, pp. 5742–5747
  44. Analysis of signaling in a finite stochastic system motivated by decentralized control
    C. A. Uribe and J. H. van Schuppen
    IEEE Conference on Decision and Control, 2013, pp. 5884–5889

Signal Processing Conference Proceedings

  1. On the inconsistency of estimation with uncertain models
    C. A. Uribe, J. Hare, L. Kaplan, and A. Jadbabaie
    Accepted to Asilomar Conference 2024, 2024
  2. ADMM for Downlink Beamforming in Cell-Free Massive MIMO Systems
    M. Zafari, D. Pandey, R. Doost-Mohammady, and C. A. Uribe
    Accepted to Asilomar 2024, 2024
  3. Improving denoising diffusion probabilistic models via exploiting shared representations
    D. Pirhayatifard, M. T. Toghani, G. Balakrishnan, and C. A. Uribe
    2023 57th Asilomar Conference on Signals, Systems, and Computers, 2023, pp. 789–793
  4. Communication-efficient and fault-tolerant social learning
    M. T. Toghani and C. A. Uribe
    2021 55th Asilomar Conference on Signals, Systems, and Computers, 2021, pp. 1037–1042
  5. Communication constrained learning with uncertain models
    J. Z. Hare, C. A. Uribe, L. Kaplan, and A. Jadbabaie
    International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020, pp. 8609–8613
  6. On malicious agents in non-Bayesian social learning with uncertain models
    C. A. Uribe, J. Hare, L. Kaplan, and A. Jadbabaie
    International Conference on Information Fusion, 2019, pp. 1–8
  7. Distributed Gaussian learning over time-varying directed graphs
    A. Nedić, A. Olshevsky, and C. A. Uribe
    Asilomar Conference on Signals, Systems and Computers, 2016, pp. 1710–1714
  8. Unsupervised feature selection based on fuzzy partition optimization for industrial processes monitoring
    C. A. Uribe and C. Isaza
    2011 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA), 2011, pp. 1–5
  9. Qualitative-fuzzy decision support system for monitoring patients with cardiovascular risk
    C. A. Uribe, C. Isaza, and J. F. Florez-Arango
    2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), vol. 3, 2011, pp. 1621–1625
  10. A wrapper approach based on clustering for sensors selection of industrial monitoring systems
    C. A. Uribe, C. Isaza, O. Gualdron, C. Duran, and A. Carvajal
    2010 International Conference on Broadband, Wireless Computing, Communication and Applications, 2010, pp. 482–487

Book Chapters

  1. Gradient methods for problems with inexact model of the objective
    F. S. Stonyakin, D. Dvinskikh, P. Dvurechensky, A. Kroshnin, O. Kuznetsova, A. Agafonov, A. Gasnikov, A. Tyurin, C. A. Uribe, D. Pasechnyuk, and S. Artamonov
    Mathematical Optimization Theory and Operations Research, Springer International Publishing, 2019, pp. 97–114
  2. Signaling of information
    C. A. Uribe and J. H. van Schuppen
    Coordination Control of Distributed Systems, J. H. van Schuppen and T. Villa, Eds. Springer International Publishing, 2015, pp. 165–172
  3. Unsupervised feature selection based on fuzzy clustering for fault detection of the Tennessee Eastman process
    C. Bedoya, C. A. Uribe, and C. Isaza
    Advances in Artificial Intelligence – IBERAMIA 2012, Berlin, Heidelberg: Springer Berlin Heidelberg, 2012, pp. 350–360