Publications (83)
Prediction-Correction Interior-Point Method for Time-Varying Convex Optimization
Mahyar Fazlyab, Santiago Paternain, Victor M. Preciado +1
Random Access Design for Wireless Control Systems
Konstantinos Gatsis, Alejandro Ribeiro, George J. Pappas
A Graph Signal Processing View on Functional Brain Imaging
Weiyu Huang, Thomas A. W. Bolton, John D. Medaglia +3
Network Topology Identification from Spectral Templates
Santiago Segarra, Antonio G. Marques, Gonzalo Mateos +1
Median activation functions for graph neural networks
Luana Ruiz, Fernando Gama, Antonio G. Marques +1
Approximate Supermodularity Bounds for Experimental Design
Luiz F. O. Chamon, Alejandro Ribeiro
Self-Triggered Time-Varying Convex Optimization
Mahyar Fazlyab, Cameron Nowzari, George J. Pappas +2
Optimal WDM Power Allocation via Deep Learning for Radio on Free Space Optics Systems
Zhan Gao, Mark Eisen, Alejandro Ribeiro
Sparse multiresolution representations with adaptive kernels
Maria Peifer, Luiz. F. O. Chamon, Santiago Paternain +1
Learning Sample-Efficient Target Reaching for Mobile Robots
Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro
Online Learning of Feasible Strategies in Unknown Environments
Santiago Paternain, Alejandro Ribeiro
Hierarchical Quasi-Clustering Methods for Asymmetric Networks
Gunnar Carlsson, Facundo Mémoli, Alejandro Ribeiro +1
Hierarchical Overlapping Clustering of Network Data Using Cut Metrics
Fernando Gama, Santiago Segarra, Alejandro Ribeiro
Decentralized Dynamic Discriminative Dictionary Learning
Alec Koppel, Garrett Warnell, Ethan Stump +1
Analysis of Optimization Algorithms via Integral Quadratic Constraints: Nonstrongly Convex Problems
Mahyar Fazlyab, Alejandro Ribeiro, Manfred Morari +1
Decentralized Quasi-Newton Methods
Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro
RES: Regularized Stochastic BFGS Algorithm
Aryan Mokhtari, Alejandro Ribeiro
DSA: Decentralized Double Stochastic Averaging Gradient Algorithm
Aryan Mokhtari, Alejandro Ribeiro
A Quasi-Newton Method for Large Scale Support Vector Machines
Aryan Mokhtari, Alejandro Ribeiro
First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization
Aryan Mokhtari, Alejandro Ribeiro
Generalizing Graph Convolutional Neural Networks with Edge-Variant Recursions on Graphs
Elvin Isufi, Fernando Gama, Alejandro Ribeiro
Axiomatic Construction of Hierarchical Clustering in Asymmetric Networks
Gunnar Carlsson, Facundo Mémoli, Alejandro Ribeiro +1
A Distributed Line Search for Network Optimization
Michael Zargham, Alejandro Ribeiro, Ali Jadbabaie
Greedy Sampling of Graph Signals
Luiz F. O. Chamon, Alejandro Ribeiro
Sampling of graph signals with successive local aggregations
Antonio G. Marques, Santiago Segarra, Geert Leus +1
Stability and Continuity of Centrality Measures in Weighted Graphs
Santiago Segarra, Alejandro Ribeiro
Hierarchical Clustering Given Confidence Intervals of Metric Distances
Weiyu Huang, Alejandro Ribeiro
Hierarchical Clustering of Asymmetric Networks
Gunnar Carlsson, Facundo Mémoli, Alejandro Ribeiro +1
Stylometric Analysis of Early Modern Period English Plays
Mark Eisen, Santiago Segarra, Gabriel Egan +1
Online Optimization in Dynamic Environments: Improved Regret Rates for Strongly Convex Problems
Aryan Mokhtari, Shahin Shahrampour, Ali Jadbabaie +1
Surpassing Gradient Descent Provably: A Cyclic Incremental Method with Linear Convergence Rate
Aryan Mokhtari, Mert Gürbüzbalaban, Alejandro Ribeiro
Stochastic Artificial Potentials for Online Safe Navigation
Santiago Paternain, Alejandro Ribeiro
The Dual Graph Shift Operator: Identifying the Support of the Frequency Domain
Geert Leus, Santiago Segarra, Alejandro Ribeiro +1
Diffusion Scattering Transforms on Graphs
Fernando Gama, Alejandro Ribeiro, Joan Bruna
Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients
Arbaaz Khan, Clark Zhang, Daniel D. Lee +2
Gated Graph Convolutional Recurrent Neural Networks
Luana Ruiz, Fernando Gama, Alejandro Ribeiro
Learning in Wireless Control Systems over Non-Stationary Channels
Mark Eisen, Konstantinos Gatsis, George J. Pappas +1
Connecting the Dots: Identifying Network Structure via Graph Signal Processing
Gonzalo Mateos, Santiago Segarra, Antonio G. Marques +1
Metrics in the Space of High Order Networks
Weiyu Huang, Alejandro Ribeiro
Random Access Communication for Wireless Control Systems with Energy Harvesting Sensors
Miguel Calvo-Fullana, Carles Antón-Haro, Javier Matamoros +1
Parsimonious Online Learning with Kernels via Sparse Projections in Function Space
Alec Koppel, Garrett Warnell, Ethan Stump +1
Global Convergence of Online Limited Memory BFGS
Aryan Mokhtari, Alejandro Ribeiro
Network Comparison: Embeddings and Interiors
Weiyu Huang, Alejandro Ribeiro
Navigation Functions for Convex Potentials in a Space with Convex Obstacles
Santiago Paternain, Daniel E. Koditschek, Alejandro Ribeiro
DQM: Decentralized Quadratically Approximated Alternating Direction Method of Multipliers
Aryan Mokhtari, Wei Shi, Qing Ling +1
Reconstruction of Graph Signals through Percolation from Seeding Nodes
Santiago Segarra, Antonio G. Marques, Geert Leus +1
Persistent Homology Lower Bounds on High Order Network Distances
Weiyu Huang, Alejandro Ribeiro
Ergodicity in Stationary Graph Processes: A Weak Law of Large Numbers
Fernando Gama, Alejandro Ribeiro
Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy
Aryan Mokhtari, Alejandro Ribeiro
Doubly Random Parallel Stochastic Methods for Large Scale Learning
Aryan Mokhtari, Alec Koppel, Alejandro Ribeiro
Network Topology Inference from Spectral Templates
Santiago Segarra, Antonio G. Marques, Gonzalo Mateos +1
Stochastic Routing and Scheduling Policies for Energy Harvesting Communication Networks
Miguel Calvo-Fullana, Carles Antón-Haro, Javier Matamoros +1
Excisive Hierarchical Clustering Methods for Network Data
Gunnar Carlsson, Facundo Mémoli, Alejandro Ribeiro +1
Convolutional Neural Network Architectures for Signals Supported on Graphs
Fernando Gama, Antonio G. Marques, Geert Leus +1
Decentralized Online Learning with Kernels
Alec Koppel, Santiago Paternain, Cedric Richard +1
Blind Identification of Graph Filters
Santiago Segarra, Gonzalo Mateos, Antonio G. Marques +1
A Decentralized Quasi-Newton Method for Dual Formulations of Consensus Optimization
Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro
A Newton-Based Method for Nonconvex Optimization with Fast Evasion of Saddle Points
Santiago Paternain, Aryan Mokhtari, Alejandro Ribeiro
Stochastic Averaging for Constrained Optimization with Application to Online Resource Allocation
Tianyi Chen, Aryan Mokhtari, Xin Wang +2
Decentralized Prediction-Correction Methods for Networked Time-Varying Convex Optimization
Andrea Simonetto, Alec Koppel, Aryan Mokhtari +2
Admissible Hierarchical Clustering Methods and Algorithms for Asymmetric Networks
Gunnar Carlsson, Facundo Mémoli, Alejandro Ribeiro +1
A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning
Aryan Mokhtari, Alec Koppel, Alejandro Ribeiro
Accelerated Backpressure Algorithm
Michael Zargham, Alejandro Ribeiro, Ali Jadbabaie
Functional Alignment with Anatomical Networks is Associated with Cognitive Flexibility
John D. Medaglia, Weiyu Huang, Elisabeth A. Karuza +3
Interior Point Method for Dynamic Constrained Optimization in Continuous Time
Mahyar Fazlyab, Santiago Paternain, Victor M. Preciado +1
Brain network efficiency is influenced by pathological source of corticobasal syndrome
John D. Medaglia, Weiyu Huang, Santiago Segarra +6
Network Newton-Part I: Algorithm and Convergence
Aryan Mokhtari, Qing Ling, Alejandro Ribeiro
A Decentralized Second-Order Method with Exact Linear Convergence Rate for Consensus Optimization
Aryan Mokhtari, Wei Shi, Qing Ling +1
Network Newton
Aryan Mokhtari, Qing Ling, Alejandro Ribeiro
Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method
Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro
Authorship Attribution through Function Word Adjacency Networks
Santiago Segarra, Mark Eisen, Alejandro Ribeiro
A Decentralized Second-Order Method for Dynamic Optimization
Aryan Mokhtari, Wei Shi, Qing Ling +1
MIMO Graph Filters for Convolutional Neural Networks
Fernando Gama, Antonio G. Marques, Alejandro Ribeiro +1
Decentralized Quadratically Approximated Alternating Direction Method of Multipliers
Aryan Mokhtari, Wei Shi, Qing Ling +1
Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints
Arbaaz Khan, Chi Zhang, Shuo Li +6
Stability of Graph Scattering Transforms
Fernando Gama, Joan Bruna, Alejandro Ribeiro
A Stochastic Trust Region Method for Non-convex Minimization
Zebang Shen, Pan Zhou, Cong Fang +1
Graph Frequency Analysis of Brain Signals
Weiyu Huang, Leah Goldsberry, Nicholas F. Wymbs +3
Convolutional Neural Networks Via Node-Varying Graph Filters
Fernando Gama, Geert Leus, Antonio G. Marques +1
Diffusion and Superposition Distances for Signals Supported on Networks
Santiago Segarra, Weiyu Huang, Alejandro Ribeiro
A Class of Prediction-Correction Methods for Time-Varying Convex Optimization
Andrea Simonetto, Aryan Mokhtari, Alec Koppel +2
IQN: An Incremental Quasi-Newton Method with Local Superlinear Convergence Rate
Aryan Mokhtari, Mark Eisen, Alejandro Ribeiro
Network Newton-Part II: Convergence Rate and Implementation
Aryan Mokhtari, Qing Ling, Alejandro Ribeiro