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Viewing Publication 1 - 44 from 44

2023

Local Stochastic Factored Gradient Descent for Distributed Quantum State TomographyJunhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis. csysl, 7:199-204, 2023. [doi]

PARS-Push: Personalized, Asynchronous and Robust Decentralized OptimizationMohammad Taha Toghani, Soomin Lee, César A. Uribe. csysl, 7:361-366, 2023. [doi]

2022

Approximate Wasserstein attraction flows for dynamic mass transport over networksFerran Arqué, César A. Uribe, Carlos Ocampo-Martinez. automatica, 143:110432, 2022. [doi]

Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimizationPavel E. Dvurechensky, Dmitry Kamzolov, Aleksandr Lukashevich, Soomin Lee, Erik Ordentlich, César A. Uribe, Alexander V. Gasnikov. ejco, 10:100045, 2022. [doi]

On Distributed Exact Sparse Linear Regression over NetworksTu Anh Nguyen, César A. Uribe. cdc 2022: 6491-6496 [doi]

Decentralized Federated Learning for Over-Parameterized ModelsTiancheng Qin, S. Rasoul Etesami 0001, César A. Uribe. cdc 2022: 5200-5205 [doi]

Unbounded Gradients in Federated Learning with Buffered Asynchronous AggregationMohammad Taha Toghani, César A. Uribe. allerton 2022: 1-8 [doi]

Scalable Average Consensus with Compressed CommunicationsMohammad Taha Toghani, César A. Uribe. amcc 2022: 3412-3417 [doi]

Communication-Efficient Distributed Cooperative Learning With Compressed BeliefsMohammad Taha Toghani, César A. Uribe. tcns, 9(3):1215-1226, 2022. [doi]

On arbitrary compression for decentralized consensus and stochastic optimization over directed networksMohammad Taha Toghani, César A. Uribe. ejcon, 68:100682, 2022. [doi]

On Acceleration of Gradient-Based Empirical Risk Minimization using Local Polynomial RegressionEkaterina Trimbach, Edward Duc Hien Nguyen, César A. Uribe. eucc 2022: 429-434 [doi]

Robust Distributed Optimization With Randomly Corrupted GradientsBerkay Turan, César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh. tsp, 70:3484-3498, 2022. [doi]

Nonasymptotic Concentration Rates in Cooperative Learning - Part II: Inference on Compact Hypothesis SetsCésar A. Uribe, Alex Olshevsky, Angelia Nedic. tcns, 9(3):1141-1153, 2022. [doi]

Nonasymptotic Concentration Rates in Cooperative Learning-Part I: Variational Non-Bayesian Social LearningCésar A. Uribe, Alex Olshevsky, Angelia Nedic. tcns, 9(3):1128-1140, 2022. [doi]

2021

Model Reference Adaptive Control for Online Policy Adaptation and Network SynchronizationMiguel F. Arevalo-Castiblanco, César A. Uribe, Eduardo Mojica-Nava. cdc 2021: 4071-4076 [doi]

Application of Wasserstein Attraction Flows for Optimal Transport in Network SystemsFerran Arqué, César A. Uribe, Carlos Ocampo-Martinez. cdc 2021: 4058-4063 [doi]

Toward Active Sequential Hypothesis Testing with Uncertain ModelsJames Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie. cdc 2021: 3709-3716 [doi]

A General Framework for Distributed Inference With Uncertain ModelsJames Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie. tsipn, 7:392-405, 2021. [doi]

Robust Asynchronous and Network-Independent Cooperative LearningEduardo Mojica-Nava, David Yanguas-Rojas, César A. Uribe. amcc 2021: 1619-1624 [doi]

Robust Optimization Over Networks Using Distributed Restarting of Accelerated DynamicsDaniel E. Ochoa, Jorge I. Poveda, César A. Uribe, Nicanor Quijano. csysl, 5(1):301-306, 2021. [doi]

Computation-aware distributed optimization over networks: a hybrid dynamical systems approachDaniel Esteban Ochoa, Jorge I. Poveda, César A. Uribe. cpsweek 2021: 18-19 [doi]

Communication-Efficient Decentralized Local SGD over Undirected NetworksTiancheng Qin, S. Rasoul Etesami 0001, César A. Uribe. cdc 2021: 3361-3366 [doi]

Communication-Efficient and Fault-Tolerant Social LearningMohammad Taha Toghani, César A. Uribe. acssc 2021: 1037-1042 [doi]

Resilient Primal-Dual Optimization Algorithms for Distributed Resource AllocationBerkay Turan, César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh. tcns, 8(1):282-294, 2021. [doi]

On Robustness of the Normalized Random Block Coordinate Method for Non-Convex OptimizationBerkay Turan, César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh. cdc 2021: 974-980 [doi]

On Robustness of the Normalized Subgradient Method with Randomly Corrupted SubgradientsBerkay Turan, César A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh. amcc 2021: 965-971 [doi]

A dual approach for optimal algorithms in distributed optimization over networksCésar A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic. oms, 36(1):171-210, 2021. [doi]

2020

Communication Constrained Learning with Uncertain ModelsJames Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie. icassp 2020: 8609-8613 [doi]

Non-Bayesian Social Learning With Uncertain ModelsJames Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie. tsp, 68:4178-4193, 2020. [doi]

Optimal Distributed Convex Optimization on Slowly Time-Varying GraphsAlexander Rogozin, César A. Uribe, Alexander V. Gasnikov, Nikolay Malkovsky, Angelia Nedic. tcns, 7(2):829-841, 2020. [doi]

Multimarginal Optimal Transport by Accelerated Alternating MinimizationNazarii Tupitsa, Pavel E. Dvurechensky, Alexander Gasnikov, César A. Uribe. cdc 2020: 6132-6137 [doi]

A Dual Approach for Optimal Algorithms in Distributed Optimization over NetworksCésar A. Uribe, Soomin Lee, Alexander Gasnikov, Angelia Nedic. ita 2020: 1-37 [doi]

Accelerating incremental gradient optimization with curvature informationHoi-To Wai, Wei Shi, César A. Uribe, Angelia Nedic, Anna Scaglione. coap, 76(2):347-380, 2020. [doi]

2019

On Primal and Dual Approaches for Distributed Stochastic Convex Optimization over NetworksDarina Dvinskikh, Eduard A. Gorbunov, Alexander Gasnikov, Pavel E. Dvurechensky, César A. Uribe. cdc 2019: 7435-7440 [doi]

Optimal Tensor Methods in Smooth Convex and Uniformly ConvexOptimizationAlexander Gasnikov, Pavel Dvurechensky, Eduard Gorbunov, Evgeniya Vorontsova, Daniil Selikhanovych, César A. Uribe. colt 2019: 1374-1391 [doi]

Near Optimal Methods for Minimizing Convex Functions with Lipschitz $p$-th DerivativesAlexander Gasnikov, Pavel Dvurechensky, Eduard Gorbunov, Evgeniya Vorontsova, Daniil Selikhanovych, César A. Uribe, Bo Jiang 0007, Haoyue Wang, Shuzhong Zhang, Sébastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford. colt 2019: 1392-1393 [doi]

On Malicious Agents in Non-Bayesian Social Learning with Uncertain ModelsJames Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie. fusion 2019: 1-8 [doi]

Hybrid Robust Optimal Resource Allocation with MomentumDaniel E. Ochoa, Jorge I. Poveda, César A. Uribe, Nicanor Quijano. cdc 2019: 3954-3959 [doi]

Gradient Methods for Problems with Inexact Model of the ObjectiveFedor S. Stonyakin, Darina Dvinskikh, Pavel Dvurechensky, Alexey Kroshnin, Olesya Kuznetsova, Artem Agafonov, Alexander Gasnikov, Alexander Tyurin, César A. Uribe, Dmitry Pasechnyuk, Sergei Artamonov. motor 2019: 97-114 [doi]

On Increasing Self-Confidence in Non-Bayesian Social Learning over Time-Varying Directed GraphsCésar A. Uribe, Ali Jadbabaie. amcc 2019: 3532-3537 [doi]

Non-Bayesian Social Learning with Uncertain Models over Time-Varying Directed GraphsCésar A. Uribe, James Zachary Hare, Lance M. Kaplan, Ali Jadbabaie. cdc 2019: 3635-3640 [doi]

Resilient Distributed Optimization Algorithms for Resource AllocationCésar A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh. cdc 2019: 8341-8346 [doi]

Achieving Acceleration in Distributed Optimization via Direct Discretization of the Heavy-Ball ODEJingzhao Zhang, César A. Uribe, Aryan Mokhtari, Ali Jadbabaie. amcc 2019: 3408-3413 [doi]

2018

Decentralize and Randomize: Faster Algorithm for Wasserstein BarycentersPavel Dvurechenskii, Darina Dvinskikh, Alexander Gasnikov, César A. Uribe, Angelia Nedich. nips 2018: 10783-10793 [doi]

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