Angelia Nedic

Optim. Methods Softw., 2021

Multi-competitive viruses over time-varying networks with mutations and human awareness.

[BibT_eX]

[DOI]

Autom., 2021

2020

Multi-Layer Decomposition of Network Utility Maximization Problems.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2020

Optimal Distributed Convex Optimization on Slowly Time-Varying Graphs.

[BibT_eX]

[DOI]

Alexander Rogozin

Nikolay Malkovsky

IEEE Trans. Control. Netw. Syst., 2020

Distributed Gradient Methods for Convex Machine Learning Problems in Networks: Distributed Optimization.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2020

On Stochastic and Deterministic Quasi-Newton Methods for Nonstrongly Convex Optimization: Asymptotic Convergence and Rate Analysis.

[BibT_eX]

[DOI]

SIAM J. Optim., 2020

A General Framework for Decentralized Optimization With First-Order Methods.

[BibT_eX]

[DOI]

Proc. IEEE, 2020

Optimization for Data-Driven Learning and Control.

[BibT_eX]

[DOI]

Proc. IEEE, 2020

Support Estimation with Sampling Artifacts and Errors.

[BibT_eX]

[DOI]

Eli Chien

Olgica Milenkovic

CoRR, 2020

Accelerating incremental gradient optimization with curvature information.

[BibT_eX]

[DOI]

Comput. Optim. Appl., 2020

On the Sample Complexity and Optimization Landscape for Quadratic Feasibility Problems.

[BibT_eX]

[DOI]

Parth K. Thaker

Gautam Dasarathy

Proceedings of the IEEE International Symposium on Information Theory, 2020

Convergence Rate of a Penalty Method for Strongly Convex Problems with Linear Constraints.

[BibT_eX]

[DOI]

Tatiana Tatarenko

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Accelerated Multi-Agent Optimization Method over Stochastic Networks.

[BibT_eX]

[DOI]

Wicak Ananduta

Carlos Ocampo-Martinez

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Data Clustering and Graph Partitioning via Simulated Mixing.

[BibT_eX]

[DOI]

Shahzad F. Bhatti

IEEE Trans. Netw. Sci. Eng., 2019

Influence of Conformist and Manipulative Behaviors on Public Opinion.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2019

Adaptive Sequential Stochastic Optimization.

[BibT_eX]

[DOI]

Craig Wilson

IEEE Trans. Autom. Control., 2019

Analysis and Control of a Continuous-Time Bi-Virus Model.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2019

A Case of Distributed Optimization in Adversarial Environment.

[BibT_eX]

[DOI]

Nikhil Ravi

Proceedings of the IEEE International Conference on Acoustics, 2019

Random minibatch projection algorithms for convex feasibility problems.

[BibT_eX]

[DOI]

Ion Necoara

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Distributed generalized Nash equilibrium seeking in aggregative games under partial-decision information via dynamic tracking.

[BibT_eX]

[DOI]

Giuseppe Belgioioso

Sergio Grammatico

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Epidemic Processes Over Time-Varying Networks.

[BibT_eX]

[DOI]

Philip E. Pare

IEEE Trans. Control. Netw. Syst., 2018

Coordinate Dual Averaging for Decentralized Online Optimization With Nonseparable Global Objectives.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2018

Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization.

[BibT_eX]

[DOI]

Michael G. Rabbat

Proc. IEEE, 2018

Graph-Theoretic Analysis of Belief System Dynamics under Logic Constraints.

[BibT_eX]

[DOI]

CoRR, 2018

Distributed Stochastic Gradient Tracking Methods.

[BibT_eX]

[DOI]

Shi Pu

CoRR, 2018

Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters.

[BibT_eX]

[DOI]

Pavel E. Dvurechenskii

Darina Dvinskikh

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Data Injection Attack on Decentralized Optimization.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

SUCAG: Stochastic Unbiased Curvature-aided Gradient Method for Distributed Optimization.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Distributed Computation of Wasserstein Barycenters Over Networks.

[BibT_eX]

[DOI]

Darina Dvinskikh

Pavel E. Dvurechensky

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Accelerated Gradient Play Algorithm for Distributed Nash Equilibrium Seeking.

[BibT_eX]

[DOI]

Tatiana Tatarenko

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

A Push-Pull Gradient Method for Distributed Optimization in Networks.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

A Distributed Stochastic Gradient Tracking Method.

[BibT_eX]

[DOI]

Shi Pu

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Improved Convergence Rates for Distributed Resource Allocation.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Multi-layer Decomposition of Optimal Resource Sharing Problems.

[BibT_eX]

[DOI]

Nurullah Karakoç

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

A Variable Sample-Size Stochastic Quasi-Newton Method for Smooth and Nonsmooth Stochastic Convex Optimization.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Discrete-Time Polar Opinion Dynamics with Heterogeneous Individuals.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Fast Convergence Rates for Distributed Non-Bayesian Learning.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2017

On Convergence Rate of Weighted-Averaging Dynamics for Consensus Problems.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2017

Stochastic Dual Averaging for Decentralized Online Optimization on Time-Varying Communication Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2017

Asynchronous Multiagent Primal-Dual Optimization.

[BibT_eX]

[DOI]

Matthew T. Hale

Magnus Egerstedt

IEEE Trans. Autom. Control., 2017

On Projected Stochastic Gradient Descent Algorithm with Weighted Averaging for Least Squares Regression.

[BibT_eX]

[DOI]

Kobi Cohen

IEEE Trans. Autom. Control., 2017

Distributed Learning Algorithms for Spectrum Sharing in Spatial Random Access Wireless Networks.

[BibT_eX]

[DOI]

Kobi Cohen

IEEE Trans. Autom. Control., 2017

Achieving Geometric Convergence for Distributed Optimization Over Time-Varying Graphs.

[BibT_eX]

[DOI]

SIAM J. Optim., 2017

On smoothing, regularization, and averaging in stochastic approximation methods for stochastic variational inequality problems.

[BibT_eX]

[DOI]

Math. Program., 2017

Optimal Algorithms for Distributed Optimization.

[BibT_eX]

[DOI]

CoRR, 2017

Discrete-Time Polar Opinion Dynamics with Susceptibility.

[BibT_eX]

[DOI]

CoRR, 2017

Distributed Learning for Cooperative Inference.

[BibT_eX]

[DOI]

CoRR, 2017

Exponential convergence of a distributed algorithm for solving linear algebraic equations.

[BibT_eX]

[DOI]

Autom., 2017

A smoothing stochastic quasi-newton method for non-lipschitzian stochastic optimization problems.

[BibT_eX]

[DOI]

Donya Ghavidel Dobakhshari

Proceedings of the 2017 Winter Simulation Conference, 2017

An approach to distributed parametric learning with streaming data.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Applications of group testing to security decision-making in networks.

[BibT_eX]

[DOI]

Sadegh Bolouki

Vijay Gupta

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

On a continuous-time multi-group bi-virus model with human awareness.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Multi-competitive viruses over static and time-varying networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 American Control Conference, 2017

Geometrically convergent distributed optimization with uncoordinated step-sizes.

[BibT_eX]

[DOI]

Proceedings of the 2017 American Control Conference, 2017

A distributed algorithm for computing a common fixed point of a family of strongly quasi-nonexpansive maps.

[BibT_eX]

[DOI]

Proceedings of the 2017 American Control Conference, 2017

Curvature-aided incremental aggregated gradient method.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

On stochastic proximal-point method for convex-composite optimization.

[BibT_eX]

[DOI]

Tatiana Tatarenko

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016

Self-Tuned Stochastic Approximation Schemes for Non-Lipschitzian Stochastic Multi-User Optimization and Nash Games.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2016

Stochastic Gradient-Push for Strongly Convex Functions on Time-Varying Directed Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2016

Asynchronous Gossip-Based Random Projection Algorithms Over Networks.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2016

Online Discrete Optimization in Social Networks in the Presence of Knightian Uncertainty.

[BibT_eX]

[DOI]

Oper. Res., 2016

Distributed Algorithms for Aggregative Games on Graphs.

[BibT_eX]

[DOI]

Oper. Res., 2016

Linearly convergent decentralized consensus optimization over directed networks.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Stochastic quasi-Newton methods for non-strongly convex problems: Convergence and rate analysis.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

A geometrically convergent method for distributed optimization over time-varying graphs.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

A tutorial on distributed (non-Bayesian) learning: Problem, algorithms and results.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Distributed learning with infinitely many hypotheses.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Conformity versus manipulation in reputation systems.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Large scale data clustering and graph partitioning via simulated mixing.

[BibT_eX]

[DOI]

Shahzad F. Bhatti

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

On the analysis of a continuous-time bi-virus model.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Input-output stability of linear consensus processes.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Network independent rates in distributed learning.

[BibT_eX]

[DOI]

Proceedings of the 2016 American Control Conference, 2016

Generalization of accelerated successive projection method for convex sets intersection problems.

[BibT_eX]

[DOI]

Seyed Rasoul Etesami

Proceedings of the 2016 American Control Conference, 2016

On the steady-state range of averaging dynamics.

[BibT_eX]

[DOI]

Sadegh Bolouki

Proceedings of the 2016 American Control Conference, 2016

A continuous-time distributed algorithm for solving linear equations.

[BibT_eX]

[DOI]

Proceedings of the 2016 American Control Conference, 2016

Distributed Gaussian learning over time-varying directed graphs.

[BibT_eX]

[DOI]

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Distributed Optimization.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Systems and Control, 2015

Distributed Optimization Over Time-Varying Directed Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2015

Convergence Rate of Distributed Averaging Dynamics and Optimization in Networks.

[BibT_eX]

[DOI]

Found. Trends Syst. Control., 2015

Distributed learning algorithms for spectrum sharing in spatial random access networks.

[BibT_eX]

[DOI]

Kobi Cohen

Proceedings of the 13th International Symposium on Modeling and Optimization in Mobile, 2015

A fully distributed dual gradient method with linear convergence for large-scale separable convex problems.

[BibT_eX]

[DOI]

Ion Necoara

Proceedings of the 14th European Control Conference, 2015

Stability analysis and control of virus spread over time-varying networks.

[BibT_eX]

[DOI]

Philip E. Pare

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Distributed stochastic optimization under imperfect information.

[BibT_eX]

[DOI]

Aswin Kannan

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Cloud-based centralized/decentralized multi-agent optimization with communication delays.

[BibT_eX]

[DOI]

Matthew T. Hale

Magnus Egerstedt

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Nonasymptotic convergence rates for cooperative learning over time-varying directed graphs.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2015

Decentralized online optimization with global objectives and local communication.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2015

Foreword.

[BibT_eX]

[DOI]

Minh N. Do

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014

An O(1/k) Gradient Method for Network Resource Allocation Problems.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2014

Product of Random Stochastic Matrices.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2014

Distributed Constrained Optimization by Consensus-Based Primal-Dual Perturbation Method.

[BibT_eX]

[DOI]

Tsung-Hui Chang

IEEE Trans. Autom. Control., 2014

On Stochastic Subgradient Mirror-Descent Algorithm with Weighted Averaging.

[BibT_eX]

[DOI]

SIAM J. Optim., 2014

LP-relaxation based distributed algorithms for scheduling in wireless networks.

[BibT_eX]

[DOI]

Chandramani Singh

Proceedings of the 2014 IEEE Conference on Computer Communications, 2014

A Lyapunov approach to discrete-time linear consensus.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Optimal robust smoothing extragradient algorithms for stochastic variational inequality problems.

[BibT_eX]

[DOI]

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Dynamic stochastic optimization.

[BibT_eX]

[DOI]

Craig Wilson

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Random Block-Coordinate Gradient Projection Algorithms.

[BibT_eX]

[DOI]

Chandramani Singh

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Complex constrained consensus.

[BibT_eX]

[DOI]

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Stability of a distributed algorithm for solving linear algebraic equations.

[BibT_eX]

[DOI]

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Internal stability of linear consensus processes.

[BibT_eX]

[DOI]

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Online discrete optimization in social networks.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2014

2013

Distributed Bregman-Distance Algorithms for Min-Max Optimization.

[BibT_eX]

[DOI]

Dusan M. Stipanovic

Proceedings of the Agent-Based Optimization, 2013

Hybrid Noncoherent Network Coding.

[BibT_eX]

[DOI]

Vitaly Skachek

Olgica Milenkovic

IEEE Trans. Inf. Theory, 2013

Dynamic Coalitional TU Games: Distributed Bargaining Among Players' Neighbors.

[BibT_eX]

[DOI]

Dario Bauso

IEEE Trans. Autom. Control., 2013

Regularized Iterative Stochastic Approximation Methods for Stochastic Variational Inequality Problems.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2013

Distributed Random Projection Algorithm for Convex Optimization.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2013

A regularized smoothing stochastic approximation (RSSA) algorithm for stochastic variational inequality problems.

[BibT_eX]

[DOI]

Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013

Distributed optimization of strongly convex functions on directed time-varying graphs.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Distributed mini-batch random projection algorithms for reduced communication overhead.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Distributed sparse regression by consensus-based primal-dual perturbation optimization.

[BibT_eX]

[DOI]

Tsung-Hui Chang

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Gossip-based random projection algorithm for distributed optimization: Error bound.

[BibT_eX]

[DOI]

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

A distributed adaptive steplength stochastic approximation method for monotone stochastic Nash Games.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2013

A general framework for distributed vote aggregation.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2013

Epoch gradient descent for smoothed hinge-loss linear SVMs.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2013

Termination time of multidimensional Hegselmann-Krause opinion dynamics.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2013

2012

On Approximations and Ergodicity Classes in Random Chains.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2012

A new class of distributed optimization algorithms: application to regression of distributed data.

[BibT_eX]

[DOI]

Optim. Methods Softw., 2012

On stochastic gradient and subgradient methods with adaptive steplength sequences.

[BibT_eX]

[DOI]

Autom., 2012

On backward product of stochastic matrices.

[BibT_eX]

[DOI]

Autom., 2012

On averaging dynamics in general state spaces.

[BibT_eX]

[DOI]

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Multi-dimensional Hegselmann-Krause dynamics.

[BibT_eX]

[DOI]

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

DrSVM: Distributed random projection algorithms for SVMs.

[BibT_eX]

[DOI]

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

A gossip algorithm for aggregative games on graphs.

[BibT_eX]

[DOI]

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Convergence properties of normalized random incremental gradient algorithms for least-squares source localization.

[BibT_eX]

[DOI]

Michael G. Rabbat

Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011

On Ergodicity, Infinite Flow, and Consensus in Random Models.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2011

Asynchronous Broadcast-Based Convex Optimization Over a Network.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2011

Multiuser Optimization: Distributed Algorithms and Error Analysis.

[BibT_eX]

[DOI]

SIAM J. Optim., 2011

Random algorithms for convex minimization problems.

[BibT_eX]

[DOI]

Math. Program., 2011

Distributed Asynchronous Constrained Stochastic Optimization.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2011

A regularized adaptive steplength stochastic approximation scheme for monotone stochastic variational inequalities.

[BibT_eX]

[DOI]

Proceedings of the Winter Simulation Conference 2011, 2011

Distributed min-max optimization in networks.

[BibT_eX]

[DOI]

Dusan M. Stipanovic

Proceedings of the 17th International Conference on Digital Signal Processing, 2011

Single timescale stochastic approximation for stochastic Nash games in cognitive radio systems.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Digital Signal Processing, 2011

Alternative characterization of ergodicity for doubly stochastic chains.

[BibT_eX]

[DOI]

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

On existence of a quadratic comparison function for random weighted averaging dynamics and its implications.

[BibT_eX]

[DOI]

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Constrained consensus for bargaining in dynamic coalitional TU games.

[BibT_eX]

[DOI]

Dario Bauso

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Discrete-time opinion dynamics.

[BibT_eX]

[DOI]

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010

Distributed and Recursive Parameter Estimation in Parametrized Linear State-Space Models.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2010

Constrained Consensus and Optimization in Multi-Agent Networks.

[BibT_eX]

[DOI]

Pablo A. Parrilo

IEEE Trans. Autom. Control., 2010

The effect of deterministic noise in subgradient methods.

[BibT_eX]

[DOI]

Dimitri P. Bertsekas

Math. Program., 2010

Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization.

[BibT_eX]

[DOI]

J. Optim. Theory Appl., 2010

Convergence rate for consensus with delays.

[BibT_eX]

[DOI]

J. Glob. Optim., 2010

Asynchronous stochastic convex optimization over random networks: Error bounds.

[BibT_eX]

[DOI]

Proceedings of the Information Theory and Applications Workshop, 2010

When infinite flow is sufficient for ergodicity.

[BibT_eX]

[DOI]

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Approximation and limiting behavior of random models.

[BibT_eX]

[DOI]

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Distributed constrained optimization over noisy networks.

[BibT_eX]

[DOI]

Dusan M. Stipanovic

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Random projection algorithms for convex set intersection problems.

[BibT_eX]

[DOI]

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Single timescale regularized stochastic approximation schemes for monotone Nash games under uncertainty.

[BibT_eX]

[DOI]

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009

On Distributed Averaging Algorithms and Quantization Effects.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2009

Distributed Subgradient Methods for Multi-Agent Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2009

Incremental Stochastic Subgradient Algorithms for Convex Optimization.

[BibT_eX]

[DOI]

SIAM J. Optim., 2009

Approximate Primal Solutions and Rate Analysis for Dual Subgradient Methods.

[BibT_eX]

[DOI]

SIAM J. Optim., 2009

Subgradient Methods for Saddle-Point Problems.

[BibT_eX]

[DOI]

J. Optimization Theory and Applications, 2009

Approximately optimal utility maximization.

[BibT_eX]

[DOI]

Vijay G. Subramanian

Proceedings of the 2009 IEEE Information Theory Workshop, 2009

Distributed Non-Autonomous Power Control through Distributed Convex Optimization.

[BibT_eX]

[DOI]

Proceedings of the INFOCOM 2009. 28th IEEE International Conference on Computer Communications, 2009

Distributed subgradient projection algorithm for convex optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2009

Asynchronous gossip algorithms for stochastic optimization.

[BibT_eX]

[DOI]

Proceedings of the 1st International Conference on Game Theory for Networks, 2009

Distributed consensus over network with noisy links.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Information Fusion, 2009

Asynchronous gossip algorithms for stochastic optimization.

[BibT_eX]

[DOI]

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Distributed multiuser optimization: Algorithms and error analysis.

[BibT_eX]

[DOI]

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008

Separation of Nonconvex Sets with General Augmenting Functions.

[BibT_eX]

[DOI]

Math. Oper. Res., 2008

A geometric framework for nonconvex optimization duality using augmented lagrangian functions.

[BibT_eX]

[DOI]

J. Glob. Optim., 2008

Incremental recursive prediction error algorithm for parameter estimation in sensor networks.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Information Fusion, 2008

Subgradient methods in network resource allocation: Rate analysis.

[BibT_eX]

[DOI]

Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008

Distributed subgradient methods and quantization effects.

[BibT_eX]

[DOI]

Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Rate of Convergence for Consensus with Delays.

[BibT_eX]

[DOI]

Pierre-Alexandre Bliman

Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Convergence of rule-of-thumb learning rules in social networks.

[BibT_eX]

[DOI]

Daron Acemoglu

Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007

On the rate of convergence of distributed subgradient methods for multi-agent optimization.

[BibT_eX]

[DOI]

Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2003

Least Squares Policy Evaluation Algorithms with Linear Function Approximation.

[BibT_eX]

[DOI]

Dimitri P. Bertsekas

Discret. Event Dyn. Syst., 2003

2002

Subgradient methods for convex minimization.

[BibT_eX]

[DOI]

PhD thesis, 2002

2001

Incremental Subgradient Methods for Nondifferentiable Optimization.

[BibT_eX]

[DOI]