Alejandro Ribeiro

According to our database1, Alejandro Ribeiro authored at least 437 papers between 2004 and 2022.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Learning Decentralized Wireless Resource Allocations With Graph Neural Networks.
IEEE Trans. Signal Process., 2022

Synthesizing Decentralized Controllers With Graph Neural Networks and Imitation Learning.
IEEE Trans. Signal Process., 2022

Scalable Perception-Action-Communication Loops With Convolutional and Graph Neural Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2022

Resource Allocation via Model-Free Deep Learning in Free Space Optical Communications.
IEEE Trans. Commun., 2022

Approximately Supermodular Scheduling Subject to Matroid Constraints.
IEEE Trans. Autom. Control., 2022

Model-Free design of control systems over wireless fading channels.
Signal Process., 2022

Spherical convolutional neural networks: Stability to perturbations in SO(3).
Signal Process., 2022

How the Word Adjacency Network (WAN) works.
Digit. Scholarsh. Humanit., 2022

Self-Consistency of the Fokker-Planck Equation.
CoRR, 2022

coVariance Neural Networks.
CoRR, 2022

Graph Neural Networks Are More Powerful Than we Think.
CoRR, 2022

Learning Graph Structure from Convolutional Mixtures.
CoRR, 2022

Learning Resilient Radio Resource Management Policies with Graph Neural Networks.
CoRR, 2022

A Lagrangian Duality Approach to Active Learning.
CoRR, 2022

Stability of Neural Networks on Manifolds to Relative Perturbations.
Proceedings of the IEEE International Conference on Acoustics, 2022

Stable and Transferable Wireless Resource Allocation Policies Via Manifold Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2022

Adaptive Wireless Power Allocation with Graph Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2022

Training Stable Graph Neural Networks Through Constrained Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Graphon Signal Processing.
IEEE Trans. Signal Process., 2021

Algebraic Neural Networks: Stability to Deformations.
IEEE Trans. Signal Process., 2021

Stochastic Graph Neural Networks.
IEEE Trans. Signal Process., 2021

Multi-Task Reinforcement Learning in Reproducing Kernel Hilbert Spaces via Cross-Learning.
IEEE Trans. Signal Process., 2021

Stochastic Policy Gradient Ascent in Reproducing Kernel Hilbert Spaces.
IEEE Trans. Autom. Control., 2021

Policy Evaluation in Continuous MDPs With Efficient Kernelized Gradient Temporal Difference.
IEEE Trans. Autom. Control., 2021

Approximate Supermodularity of Kalman Filter Sensor Selection.
IEEE Trans. Autom. Control., 2021

Stability of graph convolutional neural networks to stochastic perturbations.
Signal Process., 2021

Large Scale Distributed Collaborative Unlabeled Motion Planning With Graph Policy Gradients.
IEEE Robotics Autom. Lett., 2021

ROS-NetSim: A Framework for the Integration of Robotic and Network Simulators.
IEEE Robotics Autom. Lett., 2021

Graph Neural Networks: Architectures, Stability, and Transferability.
Proc. IEEE, 2021

Learning Connectivity-Maximizing Network Configurations.
CoRR, 2021

Linear Quadratic Control with Risk Constraints.
CoRR, 2021

Transferability Properties of Graph Neural Networks.
CoRR, 2021

Space-Time Graph Neural Networks.
CoRR, 2021

Coverage Control in Multi-Robot Systems via Graph Neural Networks.
CoRR, 2021

Convolutional Filtering and Neural Networks with Non Commutative Algebras.
CoRR, 2021

Wide and Deep Graph Neural Network with Distributed Online Learning.
CoRR, 2021

Stability of Manifold Neural Networks to Deformations.
CoRR, 2021

Increase and Conquer: Training Graph Neural Networks on Growing Graphs.
CoRR, 2021

Training Robust Graph Neural Networks with Topology Adaptive Edge Dropping.
CoRR, 2021

Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection.
CoRR, 2021

Constrained Learning with Non-Convex Losses.
CoRR, 2021

State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards.
CoRR, 2021

Sufficiently Accurate Model Learning for Planning.
CoRR, 2021

Communications and Robotics Simulation in UAVs: A Case Study on Aerial Synthetic Aperture Antennas.
IEEE Commun. Mag., 2021

Adversarial Robustness with Semi-Infinite Constrained Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Actor-only Deterministic Policy Gradient via Zeroth-order Gradient Oracles in Action Space.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Multi-Robot Coverage and Exploration using Spatial Graph Neural Networks.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Learning Connectivity for Data Distribution in Robot Teams.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Unsupervised Learning for Asynchronous Resource Allocation In Ad-Hoc Wireless Networks.
Proceedings of the IEEE International Conference on Acoustics, 2021

Graphon and Graph Neural Network Stability.
Proceedings of the IEEE International Conference on Acoustics, 2021

Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2021

Discriminability of Single-Layer Graph Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2021

Stability of Algebraic Neural Networks to Small Perturbations.
Proceedings of the IEEE International Conference on Acoustics, 2021

VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms.
Proceedings of the IEEE International Conference on Acoustics, 2021

Wide and Deep Graph Neural Networks with Distributed Online Learning.
Proceedings of the IEEE International Conference on Acoustics, 2021

Variance-Constrained Learning for Stochastic Graph Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2021

Graph Neural Networks for Decentralized Controllers.
Proceedings of the IEEE International Conference on Acoustics, 2021

Stability of Neural Networks on Riemannian Manifolds.
Proceedings of the 29th European Signal Processing Conference, 2021

Stability of Spherical Convolutional Neural Networks to Rotation Diffeomorphisms.
Proceedings of the 29th European Signal Processing Conference, 2021

Multi-task Supervised Learning via Cross-learning.
Proceedings of the 29th European Signal Processing Conference, 2021

Source Seeking in Unknown Environments with Convex Obstacles.
Proceedings of the 2021 American Control Conference, 2021

Transferable Graph Neural Networks on Large-Scale Stochastic Graphs.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
Gated Graph Recurrent Neural Networks.
IEEE Trans. Signal Process., 2020

Invariance-Preserving Localized Activation Functions for Graph Neural Networks.
IEEE Trans. Signal Process., 2020

Sparse Multiresolution Representations With Adaptive Kernels.
IEEE Trans. Signal Process., 2020

Distributed Constrained Online Learning.
IEEE Trans. Signal Process., 2020

Model-Free Learning of Optimal Ergodic Policies in Wireless Systems.
IEEE Trans. Signal Process., 2020

Stability Properties of Graph Neural Networks.
IEEE Trans. Signal Process., 2020

Functional Nonlinear Sparse Models.
IEEE Trans. Signal Process., 2020

Random Access Communication for Wireless Control Systems With Energy Harvesting Sensors.
IEEE Trans. Signal Process., 2020

Stochastic Artificial Potentials for Online Safe Navigation.
IEEE Trans. Autom. Control., 2020

Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks.
IEEE Signal Process. Mag., 2020

Rethinking sketching as sampling: A graph signal processing approach.
Signal Process., 2020

Stochastic Quasi-Newton Methods.
Proc. IEEE, 2020

A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning.
J. Mach. Learn. Res., 2020

Decentralized Control with Graph Neural Networks.
CoRR, 2020

Trust but Verify: Assigning Prediction Credibility by Counterfactual Constrained Learning.
CoRR, 2020

Graph and graphon neural network stability.
CoRR, 2020

Quiver Signal Processing (QSP).
CoRR, 2020

Policy Gradient for Continuing Tasks in Non-stationary Markov Decision Processes.
CoRR, 2020

Parameter Critic: a Model Free Variance Reduction Method Through Imperishable Samples.
CoRR, 2020

Resource Allocation via Model-Free Deep Learning in Free Space Optical Networks.
CoRR, 2020

Balancing Rates and Variance via Adaptive Batch-Size for Stochastic Optimization Problems.
CoRR, 2020

Zeroth-order Deterministic Policy Gradient.
CoRR, 2020

Graph Neural Networks for Motion Planning.
CoRR, 2020

Graphs, Convolutions, and Neural Networks.
CoRR, 2020

Mobile Wireless Network Infrastructure on Demand.
CoRR, 2020

VGAI: A Vision-Based Decentralized Controller Learning Framework for Robot Swarms.
CoRR, 2020

EdgeNets: Edge Varying Graph Neural Networks.
CoRR, 2020

Resource Allocation in Wireless Control Systems via Deep Policy Gradient.
Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Wireless Power Control via Counterfactual Optimization of Graph Neural Networks.
Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Sinkhorn Natural Gradient for Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Sinkhorn Barycenter via Functional Gradient Descent.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Graphon Neural Networks and the Transferability of Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Probably Approximately Correct Constrained Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Graph-Adaptive Activation Functions for Graph Neural Networks.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Counterfactual Programming for Optimal Control.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Graph Neural Networks for Decentralized Multi-Robot Path Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Sufficiently Accurate Model Learning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Mobile Wireless Network Infrastructure on Demand.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Scheduling Low Latency Traffic for Wireless Control Systems in 5G Networks.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Control-Aware Scheduling for Low Latency Wireless Systems with Deep Learning.
Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

Metric Representations of Networks: A Uniqueness Result.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Spatial Gating Strategies for Graph Recurrent Neural Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

The Graphon Fourier Transform.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Federated Classification with Low Complexity Reproducing Kernel Hilbert Space Representations.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Optimal Power Flow Using Graph Neural Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Zeroth-Order Learning Algorithm for Ergodic Optimization of Wireless Systems with no Models and no Gradients.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Better Safe Than Sorry: Risk-Aware Nonlinear Bayesian Estimation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Balancing Rates and Variance via Adaptive Batch-Sizes in First-Order Stochastic Optimization.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Stability of Graph Neural Networks to Relative Perturbations.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Transferable Policies for Large Scale Wireless Networks with Graph Neural Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

The Empirical Duality Gap of Constrained Statistical Learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Resource Allocation via Graph Neural Networks in Free Space Optical Fronthaul Networks.
Proceedings of the IEEE Global Communications Conference, 2020

Graphon Filters: Signal Processing in Very Large Graphs.
Proceedings of the 28th European Signal Processing Conference, 2020

Graphon Pooling in Graph Neural Networks.
Proceedings of the 28th European Signal Processing Conference, 2020

Almost-Zero Duality Gaps in Model-Free Resource Allocation for Wireless Systems.
Proceedings of the 28th European Signal Processing Conference, 2020

Risk-Constrained Linear-Quadratic Regulators.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Learning Constrained Resource Allocation Policies in Wireless Control Systems.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Resilient Control: Compromising to Adapt.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Graph Neural Networks for Decentralized Path Planning.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Navigation of a Quadratic Potential with Star Obstacles.
Proceedings of the 2020 American Control Conference, 2020

Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Decentralized Wireless Resource Allocation with Graph Neural Networks.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Ergodicity in Stationary Graph Processes: A Weak Law of Large Numbers.
IEEE Trans. Signal Process., 2019

Convolutional Neural Network Architectures for Signals Supported on Graphs.
IEEE Trans. Signal Process., 2019

Controllability of Bandlimited Graph Processes Over Random Time Varying Graphs.
IEEE Trans. Signal Process., 2019

Learning Optimal Resource Allocations in Wireless Systems.
IEEE Trans. Signal Process., 2019

A Primal-Dual Quasi-Newton Method for Exact Consensus Optimization.
IEEE Trans. Signal Process., 2019

Learning in Wireless Control Systems Over Nonstationary Channels.
IEEE Trans. Signal Process., 2019

Connecting the Dots: Identifying Network Structure via Graph Signal Processing.
IEEE Signal Process. Mag., 2019

A Newton-Based Method for Nonconvex Optimization with Fast Evasion of Saddle Points.
SIAM J. Optim., 2019

Parsimonious Online Learning with Kernels via Sparse Projections in Function Space.
J. Mach. Learn. Res., 2019

Control Aware Radio Resource Allocation in Low Latency Wireless Control Systems.
IEEE Internet Things J., 2019

Risk-Aware MMSE Estimation.
CoRR, 2019

A Prediction-Correction Algorithm for Real-Time Model Predictive Control.
CoRR, 2019

Safe Policies for Reinforcement Learning via Primal-Dual Methods.
CoRR, 2019

Optimal Resource Allocation in Wireless Control Systems via Deep Policy Gradient.
CoRR, 2019

On the Sample Complexity of Actor-Critic Method for Reinforcement Learning with Function Approximation.
CoRR, 2019

Graph Policy Gradients for Large Scale Unlabeled Motion Planning with Constraints.
CoRR, 2019

Learning Task Agnostic Sufficiently Accurate Models.
CoRR, 2019

Modeling mmWave Channels in High-Fidelity Simulations of Unmanned Aerial Systems.
Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

Large Scale Wireless Power Allocation with Graph Neural Networks.
Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

Constrained Reinforcement Learning Has Zero Duality Gap.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Stability of Graph Scattering Transforms.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Inverse Optimal Planning for Air Traffic Control.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Hessian Aided Policy Gradient.
Proceedings of the 36th International Conference on Machine Learning, 2019

Diffusion Scattering Transforms on Graphs.
Proceedings of the 7th International Conference on Learning Representations, 2019

Median Activation Functions for Graph Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

Sparse Learning of Parsimonious Reproducing Kernel Hilbert Space Models.
Proceedings of the IEEE International Conference on Acoustics, 2019

Aggregation Graph Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

Dual Domain Learning of Optimal Resource Allocations in Wireless Systems.
Proceedings of the IEEE International Conference on Acoustics, 2019

Control Aware Communication Design for Time Sensitive Wireless Systems.
Proceedings of the IEEE International Conference on Acoustics, 2019

Sparse Recovery over Nonlinear Dictionaries.
Proceedings of the IEEE International Conference on Acoustics, 2019

Optimal WDM Power Allocation via Deep Learning for Radio on Free Space Optics Systems.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Gated Graph Convolutional Recurrent Neural Networks.
Proceedings of the 27th European Signal Processing Conference, 2019

Generalizing Graph Convolutional Neural Networks with Edge-Variant Recursions on Graphs.
Proceedings of the 27th European Signal Processing Conference, 2019

Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Graph Policy Gradients for Large Scale Robot Control.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Real-Time Model Predictive Control Based on Prediction-Correction Algorithms.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Constrained Online Learning in Networks with Sublinear Regret and Fit.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Learning Safe Policies via Primal-Dual Methods.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Policy Improvement Directions for Reinforcement Learning in Reproducing Kernel Hilbert Spaces.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Navigation of a Quadratic Potential with Ellipsoidal Obstacles.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Matroid-Constrained Approximately Supermodular Optimization for Near-Optimal Actuator Scheduling.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Model Predictive Selection: A Receding Horizon Scheme for Actuator Selection.
Proceedings of the 2019 American Control Conference, 2019

A Prediction-Correction Primal-Dual Algorithm for Distributed Optimization.
Proceedings of the 2019 American Control Conference, 2019

Meta-Learning through Coupled Optimization in Reproducing Kernel Hilbert Spaces.
Proceedings of the 2019 American Control Conference, 2019

Convolutional Graph Neural Networks.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

Design Strategies for Sparse Control Of Random Time-Varying NETWORKS.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

Learning Gaussian Processes with Bayesian Posterior Optimization.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

Multi-mode Autonomous Communication Systems.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Decentralized Online Learning With Kernels.
IEEE Trans. Signal Process., 2018

Hierarchical Clustering Given Confidence Intervals of Metric Distances.
IEEE Trans. Signal Process., 2018

Network Comparison: Embeddings and Interiors.
IEEE Trans. Signal Process., 2018

Rating Prediction via Graph Signal Processing.
IEEE Trans. Signal Process., 2018

Greedy Sampling of Graph Signals.
IEEE Trans. Signal Process., 2018

Stochastic Routing and Scheduling Policies for Energy Harvesting Communication Networks.
IEEE Trans. Signal Process., 2018

Hierarchical Overlapping Clustering of Network Data Using Cut Metrics.
IEEE Trans. Signal Inf. Process. over Networks, 2018

Demand Response With Communicating Rational Consumers.
IEEE Trans. Smart Grid, 2018

Distributed Inertial Best-Response Dynamics.
IEEE Trans. Autom. Control., 2018

Navigation Functions for Convex Potentials in a Space With Convex Obstacles.
IEEE Trans. Autom. Control., 2018

Prediction-Correction Interior-Point Method for Time-Varying Convex Optimization.
IEEE Trans. Autom. Control., 2018

Distributed Fictitious Play for Multiagent Systems in Uncertain Environments.
IEEE Trans. Autom. Control., 2018

Surpassing Gradient Descent Provably: A Cyclic Incremental Method with Linear Convergence Rate.
SIAM J. Optim., 2018

IQN: An Incremental Quasi-Newton Method with Local Superlinear Convergence Rate.
SIAM J. Optim., 2018

Analysis of Optimization Algorithms via Integral Quadratic Constraints: Nonstrongly Convex Problems.
SIAM J. Optim., 2018

A Graph Signal Processing Perspective on Functional Brain Imaging.
Proc. IEEE, 2018

Stylometric analysis of Early Modern period English plays.
Digit. Scholarsh. Humanit., 2018

Modeling Treatment Delays for Patients using Feature Label Pairs in a Time Series.
CoRR, 2018

Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients.
CoRR, 2018

Convolutional Neural Networks Architectures for Signals Supported on Graphs.
CoRR, 2018

Random access design for wireless control systems.
Autom., 2018

Hierarchical clustering of asymmetric networks.
Adv. Data Anal. Classif., 2018

MIMO Graph Filters for Convolutional Neural Networks.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Optimization of Switched Linear Systems Over Non-Stationary Wireless Channels.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Composable Learning with Sparse Kernel Representations.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Learning Sample-Efficient Target Reaching for Mobile Robots.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Parallel Stochastic Successive Convex Approximation Method for Large-Scale Dictionary Learning.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Matrix Completion as Graph Bandlimited Reconstruction.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Graph Signal Processing of Human Brain Imaging Data.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Control of Graph Signals Over Random Time-Varying Graphs.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Learning Statistically Accurate Resource Allocations in Non-Stationary Wireless Systems.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Strong Duality of Sparse Functional Optimization.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Predicting Power Outages Using Graph Neural Networks.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

CNN Architectures for Graph Data.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Convolutional Neural Networks via Node-Varying Graph Filters.
Proceedings of the 2018 IEEE Data Science Workshop, 2018

A Newton Method for Faster Navigation in Cluttered Environments.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Learning Policies for Markov Decision Processes in Continuous Spaces.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision Problems.
Proceedings of the 2018 Annual American Control Conference, 2018

A Prediction-Correction Method for Model Predictive Control.
Proceedings of the 2018 Annual American Control Conference, 2018

Distributed Smooth and Strongly Convex Optimization with Inexact Dual Methods.
Proceedings of the 2018 Annual American Control Conference, 2018

Learning in Non-Stationary Wireless Control Systems via Newton's Method.
Proceedings of the 2018 Annual American Control Conference, 2018

Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Locally Adaptive Kernel Estimation Using Sparse Functional Programming.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

Decentralized Online Nonparametric Learning.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

Online Deep Learning in Wireless Communication Systems.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Optimal Graph-Filter Design and Applications to Distributed Linear Network Operators.
IEEE Trans. Signal Process., 2017

Blind Identification of Graph Filters.
IEEE Trans. Signal Process., 2017

Network Newton Distributed Optimization Methods.
IEEE Trans. Signal Process., 2017

Stationary Graph Processes and Spectral Estimation.
IEEE Trans. Signal Process., 2017

Proximity Without Consensus in Online Multiagent Optimization.
IEEE Trans. Signal Process., 2017

Persistent Homology Lower Bounds on High-Order Network Distances.
IEEE Trans. Signal Process., 2017

Decentralized Quasi-Newton Methods.
IEEE Trans. Signal Process., 2017

Stochastic Averaging for Constrained Optimization With Application to Online Resource Allocation.
IEEE Trans. Signal Process., 2017

Network Topology Inference from Spectral Templates.
IEEE Trans. Signal Inf. Process. over Networks, 2017

D4L: Decentralized Dynamic Discriminative Dictionary Learning.
IEEE Trans. Signal Inf. Process. over Networks, 2017

Cooperative Special Issue on Graph Signal Processing in the IEEE Journal of Selected Topics in Signal Processing and the IEEE Transactions on Signal and Information Processing Over Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2017

Admissible Hierarchical Clustering Methods and Algorithms for Asymmetric Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2017

Concurrent Control of Mobility and Communication in Multirobot Systems.
IEEE Trans. Robotics, 2017

Decentralized Prediction-Correction Methods for Networked Time-Varying Convex Optimization.
IEEE Trans. Autom. Control., 2017

Online Learning of Feasible Strategies in Unknown Environments.
IEEE Trans. Autom. Control., 2017

Introduction to the Issue on Cooperative Signal Processing for Heterogeneous and Multi-Task Wireless Sensor Networks.
IEEE J. Sel. Top. Signal Process., 2017

Introduction to the IEEE Journal on Selected Topics in Signal Processing and IEEE Transactions on Signal and Information Processing Over Networks Joint Special Issue on Graph Signal Processing.
IEEE J. Sel. Top. Signal Process., 2017

The Dual Graph Shift Operator: Identifying the Support of the Frequency Domain.
CoRR, 2017

First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Approximate Supermodularity Bounds for Experimental Design.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Robust network topology inference.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Stationary graph processes: Parametric power spectral estimation.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Large-scale nonconvex stochastic optimization by Doubly Stochastic Successive Convex approximation.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A double incremental aggregated gradient method with linear convergence rate for large-scale optimization.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

An incremental quasi-Newton method with a local superlinear convergence rate.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Axiomatic hierarchical clustering given intervals of metric distances.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Brain signal analytics from graph signal processing perspective.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Weak law of large numbers for stationary graph processes.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Universal bounds for the sampling of graph signals.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Stochastic backpressure in energy harvesting networks.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Decentralized efficient nonparametric stochastic optimization.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Distributed estimation of smooth graph power spectral density.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Finite-precision effects on graph filters.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Collaborative filtering via graph signal processing.
Proceedings of the 25th European Signal Processing Conference, 2017

Safe online navigation of convex potentials in spaces with convex obstacles.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

The mean square error in Kalman filtering sensor selection is approximately supermodular.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Design of weighted median graph filters.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

A variational approach to dual methods for constrained convex optimization.
Proceedings of the 2017 American Control Conference, 2017

Random access policies for wireless networked control systems with energy harvesting sensors.
Proceedings of the 2017 American Control Conference, 2017

A dynamical systems perspective to convergence rate analysis of proximal algorithms.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

Partial embedding distance for networks.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

A primal-dual Quasi-Newton method for consensus optimization.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
A Class of Prediction-Correction Methods for Time-Varying Convex Optimization.
IEEE Trans. Signal Process., 2016

Stability and Continuity of Centrality Measures in Weighted Graphs.
IEEE Trans. Signal Process., 2016

Reconstruction of Graph Signals Through Percolation from Seeding Nodes.
IEEE Trans. Signal Process., 2016

DQM: Decentralized Quadratically Approximated Alternating Direction Method of Multipliers.
IEEE Trans. Signal Process., 2016

Sampling of Graph Signals With Successive Local Aggregations.
IEEE Trans. Signal Process., 2016

Metrics in the Space of High Order Networks.
IEEE Trans. Signal Process., 2016

A Decentralized Second-Order Method with Exact Linear Convergence Rate for Consensus Optimization.
IEEE Trans. Signal Inf. Process. over Networks, 2016

Graph Frequency Analysis of Brain Signals.
IEEE J. Sel. Top. Signal Process., 2016

DSA: Decentralized Double Stochastic Averaging Gradient Algorithm.
J. Mach. Learn. Res., 2016

Learning to Coordinate in Social Networks.
Oper. Res., 2016

Fictitious Play with Inertia Learns Pure Equilibria in Distributed Games with Incomplete Information.
CoRR, 2016

Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy.
CoRR, 2016

A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning.
CoRR, 2016

Decentralized Dynamic Discriminative Dictionary Learning.
CoRR, 2016

Distributed Fictitious Play for Optimal Behavior of Multi-Agent Systems with Incomplete Information.
CoRR, 2016

Excisive Hierarchical Clustering Methods for Network Data.
CoRR, 2016

Network topology identification from spectral templates.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Online learning for characterizing unknown environments in ground robotic vehicle models.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Stationary graph processes: Nonparametric spectral estimation.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Hybrid architecture for communication-aware multi-robot systems.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Control-Aware Random Access Communication.
Proceedings of the 7th ACM/IEEE International Conference on Cyber-Physical Systems, 2016

System architectures for communication-aware multi-robot navigation.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Linear network operators using node-variant graph filters.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Blind identification of graph filters with multiple sparse inputs.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Space-shift sampling of graph signals.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Diffusion filtering of graph signals and its use in recommendation systems.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Proximity without consensus in online multi-agent optimization.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Persistent homology lower bounds on network distances.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Overlapping clustering of network data using cut metrics.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Decentralized constrained consensus optimization with primal dual splitting projection.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Center-weighted median graph filters.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Decentralized online optimization with heterogeneous data sources.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Axiomatic hierarchical clustering for intervals of metric distances.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Rethinking sketching as sampling: Efficient approximate solution to linear inverse problems.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Distributed fictitious play for multi-agent systems with uncertainty.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

An asynchronous Quasi-Newton method for consensus optimization.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

A data-driven approach to stochastic network optimization.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Near-optimality of greedy set selection in the sampling of graph signals.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

A Quasi-newton prediction-correction method for decentralized dynamic convex optimization.
Proceedings of the 15th European Control Conference, 2016

A decentralized Second-Order Method for Dynamic Optimization.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Online optimization in dynamic environments: Improved regret rates for strongly convex problems.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Distributed continuous-time online optimization using saddle-point methods.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

State-based communication design for wireless control systems.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Self-triggered time-varying convex optimization.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Learning pure-strategy Nash equilibria in networked multi-agent systems with uncertainty.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

A decentralized quasi-Newton method for dual formulations of consensus optimization.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Doubly random parallel stochastic methods for large scale learning.
Proceedings of the 2016 American Control Conference, 2016

Interior point method for dynamic constrained optimization in continuous time.
Proceedings of the 2016 American Control Conference, 2016

Network topology identification from imperfect spectral templates.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

Doubly stochastic algorithms for large-scale optimization.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

Persistent homology lower bounds on distances in the space of networks.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

Rethinking sketching as sampling: Linear transforms of graph signals.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Authorship Attribution Through Function Word Adjacency Networks.
IEEE Trans. Signal Process., 2015

DLM: Decentralized Linearized Alternating Direction Method of Multipliers.
IEEE Trans. Signal Process., 2015

A Saddle Point Algorithm for Networked Online Convex Optimization.
IEEE Trans. Signal Process., 2015

Diffusion and Superposition Distances for Signals Supported on Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2015

Demand Response Management in Smart Grids With Heterogeneous Consumer Preferences.
IEEE Trans. Smart Grid, 2015

Opportunistic Control Over Shared Wireless Channels.
IEEE Trans. Autom. Control., 2015

Global convergence of online limited memory BFGS.
J. Mach. Learn. Res., 2015

Distributed Linear Network Operators using Graph Filters.
CoRR, 2015

Demand Response with Cooperating Rational Consumers.
CoRR, 2015

An approximate Newton method for distributed optimization.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Regret bounds of a distributed saddle point algorithm.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Metrics in the space of high order proximity networks.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Rational consumer behavior models in smart pricing.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Reconstruction of graph signals: Percolation from a single seeding node.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Decentralized quadratically approximated alternating direction method of multipliers.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Target tracking with dynamic convex optimization.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Persistent homology approximations of network distances.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Interpolation of graph signals using shift-invariant graph filters.
Proceedings of the 23rd European Signal Processing Conference, 2015

Online learning of optimal strategies in unknown environments.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Control with random access wireless sensors.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Distributed fictitious play in potential games of incomplete information.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

A decentralized prediction-correction method for networked time-varying convex optimization.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Blind identification of graph filters with sparse inputs.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Aggregation sampling of graph signals in the presence of noise.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Real-Time Pricing with uncertain and heterogeneous consumer preferences.
Proceedings of the American Control Conference, 2015

Distributed implementation of linear network operators using graph filters.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

Prediction-correction methods for time-varying convex optimization.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

Sampling of graph signals: Successive local aggregations at a single node.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

Decentralized double stochastic averaging gradient.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

Diffusion distance for signals supported on networks.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
RES: Regularized Stochastic BFGS Algorithm.
IEEE Trans. Signal Process., 2014

Decentralized Dynamic Optimization Through the Alternating Direction Method of Multipliers.
IEEE Trans. Signal Process., 2014

Bayesian Quadratic Network Game Filters.
IEEE Trans. Signal Process., 2014

Accelerated Dual Descent for Network Flow Optimization.
IEEE Trans. Autom. Control., 2014

Optimal Power Management in Wireless Control Systems.
IEEE Trans. Autom. Control., 2014

Robust routing and Multi-Confirmation Transmission Protocol for connectivity management of mobile robotic teams.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Hierarchical Quasi-Clustering Methods for Asymmetric Networks.
Proceedings of the 31th International Conference on Machine Learning, 2014

Opportunistic scheduling of control tasks over shared wireless channels.
Proceedings of the ACM/IEEE International Conference on Cyber-Physical Systems, 2014

A stable betweenness centrality measure in networks.
Proceedings of the IEEE International Conference on Acoustics, 2014

A quasi-Newton method for large scale support vector machines.
Proceedings of the IEEE International Conference on Acoustics, 2014

Decentralized linearized alternating direction method of multipliers.
Proceedings of the IEEE International Conference on Acoustics, 2014

Information aggregation in a beauty contest game.
Proceedings of the IEEE International Conference on Acoustics, 2014

Distributed demand side management of heterogeneous rational consumers in smart grids with renewable sources.
Proceedings of the IEEE International Conference on Acoustics, 2014

Discounted integral priority routing for data networks.
Proceedings of the IEEE Global Communications Conference, 2014

Dithering and betweenness centrality in weighted graphs.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Opportunistic sensor scheduling in wireless control systems.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Network Newton.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
D-MAP: Distributed Maximum a Posteriori Probability Estimation of Dynamic Systems.
IEEE Trans. Signal Process., 2013

Optimal Wireless Communications With Imperfect Channel State Information.
IEEE Trans. Signal Process., 2013

Network Integrity in Mobile Robotic Networks.
IEEE Trans. Autom. Control., 2013

Learning in Network Games with Incomplete Information: Asymptotic Analysis and Tractable Implementation of Rational Behavior.
IEEE Signal Process. Mag., 2013

Robust Control of Mobility and Communications in Autonomous Robot Teams.
IEEE Access, 2013

A dual stochastic DFP algorithm for optimal resource allocation in wireless systems.
Proceedings of the 14th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2013

Cognitive access algorithms for multiple access channels.
Proceedings of the 14th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2013

Authorship attribution using function words adjacency networks.
Proceedings of the IEEE International Conference on Acoustics, 2013

Axiomatic construction of hierarchical clustering in asymmetric networks.
Proceedings of the IEEE International Conference on Acoustics, 2013

Accelerated backpressure algorithm.
Proceedings of the 2013 IEEE Global Communications Conference, 2013

Regularized stochastic BFGS algorithm.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Alternative axiomatic constructions for hierarchical clustering of asymmetric networks.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

A linearized bregman algorithm for decentralized basis pursuit.
Proceedings of the 21st European Signal Processing Conference, 2013

Distributed filters for Bayesian network games.
Proceedings of the 21st European Signal Processing Conference, 2013

Accelerated dual descent for constrained convex network flow optimization.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Learning to coordinate in a beauty contest game.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Power-aware communication for wireless sensor-actuator systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Convergence of Bayesian histogram filters for location estimation.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Hierarchical clustering and consensus in trust networks.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Hierarchical clustering methods and algorithms for asymmetric networks.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Optimal Wireless Networks Based on Local Channel State Information.
IEEE Trans. Signal Process., 2012

Distributed Network Optimization With Heuristic Rational Agents.
IEEE Trans. Signal Process., 2012

Robust Control for Mobility and Wireless Communication in Cyber-Physical Systems With Application to Robot Teams.
Proc. IEEE, 2012

Adaptive Communication-Constrained Deployment of Unmanned Vehicle Systems.
IEEE J. Sel. Areas Commun., 2012

Optimal resource allocation in wireless communication and networking.
EURASIP J. Wirel. Commun. Netw., 2012

Motion planning for robust wireless networking.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

A distributed routing protocol for predictable rates in wireless mesh networksy.
Proceedings of the 20th IEEE International Conference on Network Protocols, 2012

Distributed maximum a posteriori probability estimation of dynamic systems with wireless sensor networks.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Optimal wireless multiuser channels with imperfect channel state information.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Heuristic rational models in social networks.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Network optimization under uncertainty.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

A distributed line search for network optimization.
Proceedings of the American Control Conference, 2012

Adaptive communication-constrained deployment of mobile robotic networks.
Proceedings of the American Control Conference, 2012

Learning in linear games over networks.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

Distributed maximum a posteriori probability estimation for tracking of dynamic systems.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

Dynamic games with side information in economic networks.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
Adaptive Distributed Algorithms for Optimal Random Access Channels.
IEEE Trans. Wirel. Commun., 2011

Optimal Transmission over a Fading Channel with Imperfect Channel State Information.
Proceedings of the Global Communications Conference, 2011

Robot deployment with end-to-end communication constraints.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Accelerated dual descent for network optimization.
Proceedings of the American Control Conference, 2011

Optimal random access for wireless networks in the presence of fading.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

A framework for integrating mobility and routing in mobile communication networks.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

Network optimization with heuristic rational agents.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
A class of convergent algorithms for resource allocation in wireless fading networks.
IEEE Trans. Wirel. Commun., 2010

Ergodic Stochastic Optimization Algorithms for Wireless Communication and Networking.
IEEE Trans. Signal Process., 2010

Separation principles in wireless networking.
IEEE Trans. Inf. Theory, 2010

Mobility & routing control in networks of robots.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Cooperative Communications in Wireless Networks.
EURASIP J. Wirel. Commun. Netw., 2009

Layers and layer interfaces in wireless networks.
Proceedings of the IEEE International Conference on Acoustics, 2009

Cross-layer optimization of wireless fading ad-hoc networks.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Optimal Distributed Stochastic Routing Algorithms for Wireless Multihop Networks.
IEEE Trans. Wirel. Commun., 2008

Consensus in Ad Hoc WSNs With Noisy Links - Part I: Distributed Estimation of Deterministic Signals.
IEEE Trans. Signal Process., 2008

Consensus in Ad Hoc WSNs With Noisy Links - Part II: Distributed Estimation and Smoothing of Random Signals.
IEEE Trans. Signal Process., 2008

Decentralized Quantized Kalman Filtering With Scalable Communication Cost.
IEEE Trans. Signal Process., 2008

Link-Adaptive Distributed Coding for Multisource Cooperation.
EURASIP J. Adv. Signal Process., 2008

Optimal FDMA over wireless fading mobile ad-hoc networks.
Proceedings of the IEEE International Conference on Acoustics, 2008

Distributed Kalman filtering based on quantized innovations.
Proceedings of the IEEE International Conference on Acoustics, 2008

Layer separability of wireless networks.
Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008

2007
Achieving Wireline Random Access Throughput in Wireless Networking Via User Cooperation.
IEEE Trans. Inf. Theory, 2007

Multi-source cooperation with full-diversity spectral-efficiency and controllable-complexity.
IEEE J. Sel. Areas Commun., 2007

Modelling and Optimization of Stochastic Routing for Wireless Multi-Hop Networks.
Proceedings of the INFOCOM 2007. 26th IEEE International Conference on Computer Communications, 2007

Consensus-Based Distributed Parameter Estimation in Ad Hoc Wireless Sensor Networks with Noisy Links.
Proceedings of the IEEE International Conference on Acoustics, 2007

Distributed Routing Algorithms for Wireless Multihop Networks.
Proceedings of the IEEE International Conference on Acoustics, 2007

Robust Routing in Wireless Multi-Hop Networks.
Proceedings of the 41st Annual Conference on Information Sciences and Systems, 2007

2006
Opportunistic multipath for bandwidth-efficient cooperative multiple access.
IEEE Trans. Wirel. Commun., 2006

SOI-KF: Distributed Kalman Filtering With Low-Cost Communications Using the Sign of Innovations.
IEEE Trans. Signal Process., 2006

Bandwidth-constrained distributed estimation for wireless sensor networks-part II: unknown probability density function.
IEEE Trans. Signal Process., 2006

Bandwidth-constrained distributed estimation for wireless sensor Networks-part I: Gaussian case.
IEEE Trans. Signal Process., 2006

Distributed compression-estimation using wireless sensor networks.
IEEE Signal Process. Mag., 2006

Link-Adaptive Distributed Coding for Multi-Source Cooperation.
Proceedings of the Global Telecommunications Conference, 2006. GLOBECOM '06, San Francisco, CA, USA, 27 November, 2006

Distributed estimation with ad hoc wireless sensor networks.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
Symbol error probabilities for general Cooperative links.
IEEE Trans. Wirel. Commun., 2005

Increasing the throughput of spread-Aloha protocols via long PN spreading codes.
Proceedings of IEEE International Conference on Communications, 2005

Distributed quantization-estimation using wireless sensor networks.
Proceedings of IEEE International Conference on Communications, 2005

Cooperative random access with long PN spreading codes.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Non-parametric distributed quantization-estimation using wireless sensor networks.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Opportunistic multipath for bandwidth-efficient cooperative networking.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004


  Loading...