George Michailidis

Orcid: 0000-0002-3676-1739

According to our database1, George Michailidis authored at least 155 papers between 2001 and 2024.

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Bibliography

2024
A VAE-based Framework for Learning Multi-Level Neural Granger-Causal Connectivity.
CoRR, 2024

2023
A General Modeling Framework for Network Autoregressive Processes.
Technometrics, October, 2023

Inference on the Change Point under a High Dimensional Covariance Shift.
J. Mach. Learn. Res., 2023

Bayesian Spiked Laplacian Graphs.
J. Mach. Learn. Res., 2023

2022
DAdam: A Consensus-Based Distributed Adaptive Gradient Method for Online Optimization.
IEEE Trans. Signal Process., 2022

A Fast Detection Method of Break Points in Effective Connectivity Networks.
IEEE Trans. Medical Imaging, 2022

A Novel Data-Driven Approach for Solving the Electric Vehicle Charging Station Location-Routing Problem.
IEEE Trans. Intell. Transp. Syst., 2022

A generalized likelihood-based Bayesian approach for scalable joint regression and covariance selection in high dimensions.
Stat. Comput., 2022

Hybrid Modeling of Regional COVID-19 Transmission Dynamics in the U.S.
IEEE J. Sel. Top. Signal Process., 2022

Regularized and Smooth Double Core Tensor Factorization for Heterogeneous Data.
J. Mach. Learn. Res., 2022

Joint Estimation and Inference for Data Integration Problems based on Multiple Multi-layered Gaussian Graphical Models.
J. Mach. Learn. Res., 2022

Fast and Scalable Algorithm for Detection of Structural Breaks in Big VAR Models.
J. Comput. Graph. Stat., 2022

Optimal routing for electric vehicle charging systems with stochastic demand: A heavy traffic approximation approach.
Eur. J. Oper. Res., 2022

A Penalty Based Method for Communication-Efficient Decentralized Bilevel Programming.
CoRR, 2022

Explaining the root causes of unit-level changes.
CoRR, 2022

A Coupled CP Decomposition for Principal Components Analysis of Symmetric Networks.
CoRR, 2022

Heterogeneity of Treatment Effects of a Video Recommendation System for Algebra.
Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

A novel video recommendation system for algebra: An effectiveness evaluation study.
Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

On The Convergence of ADAM-Type Algorithms for Solving Structured Single Node and Decentralized Min-Max Saddle Point Games.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Optimism-Based Adaptive Regulation of Linear-Quadratic Systems.
IEEE Trans. Autom. Control., 2021

A decentralized adaptive momentum method for solving a class of min-max optimization problems.
Signal Process., 2021

Joint Learning of Linear Time-Invariant Dynamical Systems.
CoRR, 2021

Sparse Partial Least Squares for Coarse Noisy Graph Alignment.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Flow-based Attribution in Graphical Models: A Recursive Shapley Approach.
Proceedings of the 38th International Conference on Machine Learning, 2021

Automatic Registration and Clustering of Time Series.
Proceedings of the IEEE International Conference on Acoustics, 2021

Solving a Class of Non-Convex Min-Max Games Using Adaptive Momentum Methods.
Proceedings of the IEEE International Conference on Acoustics, 2021

The effects of a personalized recommendation system on students' high-stakes achievement scores: A field experiment.
Proceedings of the 14th International Conference on Educational Data Mining, 2021

2020
System Identification of High-Dimensional Linear Dynamical Systems With Serially Correlated Output Noise Components.
IEEE Trans. Signal Process., 2020

Multiple Change Points Detection in Low Rank and Sparse High Dimensional Vector Autoregressive Models.
IEEE Trans. Signal Process., 2020

Locating Infinite Discontinuities in Computer Experiments.
SIAM/ASA J. Uncertain. Quantification, 2020

A Statistical Framework for Detecting Electricity Theft Activities in Smart Grid Distribution Networks.
IEEE J. Sel. Areas Commun., 2020

Regularized Estimation of High-dimensional Factor-Augmented Vector Autoregressive (FAVAR) Models.
J. Mach. Learn. Res., 2020

Sequential change-point detection in high-dimensional Gaussian graphical models.
J. Mach. Learn. Res., 2020

Change Point Estimation in a Dynamic Stochastic Block Model.
J. Mach. Learn. Res., 2020

Automatic Registration and Convex Clustering of Time Series.
CoRR, 2020

Adaptive First-and Zeroth-order Methods for Weakly Convex Stochastic Optimization Problems.
CoRR, 2020

Online detection of local abrupt changes in high-dimensional Gaussian graphical models.
CoRR, 2020

Deep annotation of untargeted LC-MS metabolomics data with Binner.
Bioinform., 2020

On adaptive Linear-Quadratic regulators.
Autom., 2020

Input perturbations for adaptive control and learning.
Autom., 2020

2019
Corrections to "Low Rank and Structured Modeling of High-Dimensional Vector Autoregressions".
IEEE Trans. Signal Process., 2019

Low Rank and Structured Modeling of High-Dimensional Vector Autoregressions.
IEEE Trans. Signal Process., 2019

Modeling and Optimization of Time-of-Use Electricity Pricing Systems.
IEEE Trans. Smart Grid, 2019

Finite-Time Adaptive Stabilization of Linear Systems.
IEEE Trans. Autom. Control., 2019

Regularized joint estimation of related vector autoregressive models.
Comput. Stat. Data Anal., 2019

A comparative study of topology-based pathway enrichment analysis methods.
BMC Bioinform., 2019

Quantifying heterogeneity of expression data based on principal components.
Bioinform., 2019

Differential network enrichment analysis reveals novel lipid pathways in chronic kidney disease.
Bioinform., 2019

Preface: Computational biomedicine.
Ann. Oper. Res., 2019

Directed Acyclic Graph Reconstruction Leveraging Prior Partial Ordering Information.
Proceedings of the Machine Learning, Optimization, and Data Science, 2019

Analyses of Multi-collection Corpora via Compound Topic Modeling.
Proceedings of the Machine Learning, Optimization, and Data Science, 2019

Investigating the Usage Patterns of Algebra Nation Tutoring Platform.
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

The Impact of an Online Tutoring Program for Algebra Readiness on Mathematics Achievements; Results of a Randomized Experiment.
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

Online Distributed Estimation of Principal Eigenspaces.
Proceedings of the IEEE Data Science Workshop, 2019

Randomized Algorithms for Data-Driven Stabilization of Stochastic Linear Systems.
Proceedings of the IEEE Data Science Workshop, 2019

On Applications of Bootstrap in Continuous Space Reinforcement Learning.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Fast Randomized Algorithms for t-Product Based Tensor Operations and Decompositions with Applications to Imaging Data.
SIAM J. Imaging Sci., 2018

Input Perturbations for Adaptive Regulation and Learning.
CoRR, 2018

Finite Time Adaptive Stabilization of LQ Systems.
CoRR, 2018

On Optimality of Adaptive Linear-Quadratic Regulators.
CoRR, 2018

Finite time identification in unstable linear systems.
Autom., 2018

Detection of False Data Injection Attacks in Smart Grids Based on Forecasts.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

2017
Optimality of Fast-Matching Algorithms for Random Networks With Applications to Structural Controllability.
IEEE Trans. Control. Netw. Syst., 2017

Estimation of Graphical Models through Structured Norm Minimization.
J. Mach. Learn. Res., 2017

Regularized Estimation and Testing for High-Dimensional Multi-Block Vector-Autoregressive Models.
J. Mach. Learn. Res., 2017

Structural optimization under overhang constraints imposed by additive manufacturing technologies.
J. Comput. Phys., 2017

Finite Time Analysis of Optimal Adaptive Policies for Linear-Quadratic Systems.
CoRR, 2017

Fast Monte Carlo Algorithms for Tensor Operations.
CoRR, 2017

Sparse network modeling and metscape-based visualization methods for the analysis of large-scale metabolomics data.
Bioinform., 2017

2016
Measuring Influence of Users in Twitter Ecosystems Using a Counting Process Modeling Framework.
Technometrics, 2016

AMON: An Open Source Architecture for Online Monitoring, Statistical Analysis, and Forensics of Multi-Gigabit Streams.
IEEE J. Sel. Areas Commun., 2016

Joint Structural Estimation of Multiple Graphical Models.
J. Mach. Learn. Res., 2016

Penalized Maximum Likelihood Estimation of Multi-layered Gaussian Graphical Models.
J. Mach. Learn. Res., 2016

A non-negative matrix factorization method for detecting modules in heterogeneous omics multi-modal data.
Bioinform., 2016

Network-based pathway enrichment analysis with incomplete network information.
Bioinform., 2016

Adaptive statistical detection of false data injection attacks in smart grids.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Measuring Systemic Risk with Network Connectivity: Extended Abstract.
Proceedings of the Second International Workshop on Data Science for Macro-Modeling, 2016

2015
Unsplittable Load Balancing in a Network of Charging Stations Under QoS Guarantees.
IEEE Trans. Smart Grid, 2015

Two-Stage Plans for Estimating the Inverse of a Monotone Function.
Technometrics, 2015

Socially Optimal Charging Strategies for Electric Vehicles.
IEEE Trans. Autom. Control., 2015

Cone Schedules for Processing Systems in Fluctuating Environments.
IEEE Trans. Autom. Control., 2015

Operator-valued kernel-based vector autoregressive models for network inference.
Mach. Learn., 2015

Network granger causality with inherent grouping structure.
J. Mach. Learn. Res., 2015

Optimal routing for electric vehicle service systems.
Eur. J. Oper. Res., 2015

Analysis of Multiview Legislative Networks with Structured Matrix Factorization: Does Twitter Influence Translate to the Real World?
CoRR, 2015

Correlative monitoring for detection of false data injection attacks in smart grids.
Proceedings of the 2015 IEEE International Conference on Smart Grid Communications, 2015

2014
Measuring Influence in Twitter Ecosystems using a Counting Process Modeling Framework.
CoRR, 2014

Hashing Pursuit for Online Identification of Heavy-Hitters in High-Speed Network Streams.
CoRR, 2014

Visual Analytics for Network-Based Market Surveillance.
Proceedings of the International Workshop on Data Science for Macro-Modeling, 2014

Do U.S. Regulators Listen to the Public? Testing the Regulatory Process with the RegRank Algorithm.
Proceedings of the International Workshop on Data Science for Macro-Modeling, 2014

2013
Fast Algorithms for Optimal Link Selection in Large-Scale Network Monitoring.
IEEE Trans. Signal Process., 2013

Network-Wide Statistical Modeling, Prediction, and Monitoring of Computer Traffic.
Technometrics, 2013

Electric Power Allocation in a Network of Fast Charging Stations.
IEEE J. Sel. Areas Commun., 2013

Structural and Functional Discovery in Dynamic Networks with Non-negative Matrix Factorization
CoRR, 2013

A State-Space Approach for Optimal Traffic Monitoring via Network Flow Sampling.
CoRR, 2013

OKVAR-Boost: a novel boosting algorithm to infer nonlinear dynamics and interactions in gene regulatory networks.
Bioinform., 2013

Discovering the ecosystem of an electronic financial market with a dynamic machine-learning method.
Algorithmic Finance, 2013

Electric power resource provisioning for large scale public EV charging facilities.
Proceedings of the IEEE Fourth International Conference on Smart Grid Communications, 2013

Power allocation to a network of charging stations based on network tomography monitoring.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013

Decentralized control of electric vehicles in a network of fast charging stations.
Proceedings of the 2013 IEEE Global Communications Conference, 2013

Discovery of path-important nodes using structured semi-nonnegative matrix factorization.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012
Optimal Power Allocation Under Communication Network Externalities.
IEEE Trans. Smart Grid, 2012

Stability and Control of Acyclic Stochastic Processing Networks With Shared Resources.
IEEE Trans. Autom. Control., 2012

A Graph Algebra for Scalable Visual Analytics.
IEEE Computer Graphics and Applications, 2012

THINK Back: KNowledge-based Interpretation of High Throughput data.
BMC Bioinform., 2012

Strategies for competing energy storage technologies for in DC fast charging stations.
Proceedings of the IEEE Third International Conference on Smart Grid Communications, 2012

Demand response control for PHEV charging stations by dynamic price adjustments.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2012

An algorithm for joint guidance and power control for electric vehicles in the smart grid.
Proceedings of IEEE International Conference on Communications, 2012

Average delay SLAs in Cloud computing.
Proceedings of IEEE International Conference on Communications, 2012

A decentralized ID algorithm for detecting slow-fast oscillations in power systems from overwhelming volumes of phasor data.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Estimating Heavy-Tail Exponents Through Max Self-Similarity.
IEEE Trans. Inf. Theory, 2011

Structural Models for Dual Modality Data With Application to Network Tomography.
IEEE Trans. Inf. Theory, 2011

A decentralized algorithm for optimal resource allocation in smartgrids with communication network externalities.
Proceedings of the IEEE Second International Conference on Smart Grid Communications, 2011

Local energy storage sizing in plug-in hybrid electric vehicle charging stations under blocking probability constraints.
Proceedings of the IEEE Second International Conference on Smart Grid Communications, 2011

Aggregated-DAG Scheduling for Job Flow Maximization in Heterogeneous Cloud Computing.
Proceedings of the Global Communications Conference, 2011

Network Decomposition in Practice: An Application to Optimal Resource Allocation.
Proceedings of the Global Communications Conference, 2011

2010
The Ensemble Bridge Algorithm: A New Modeling Tool for Drug Discovery Problems.
J. Chem. Inf. Model., 2010

Global Modeling and Prediction of Computer Network Traffic
CoRR, 2010

Discovering graphical Granger causality using the truncating lasso penalty.
Bioinform., 2010

Penalized Principal Component Regression on Graphs for Analysis of Subnetworks.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Querying graphs with uncertain predicates.
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010

On Global Modeling of Backbone Network Traffic.
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010

2009
Measurement-based optimal resource allocation for network services with pricing differentiation.
Perform. Evaluation, 2009

Analysis of Gene Sets Based on the Underlying Regulatory Network.
J. Comput. Biol., 2009

Algebraic visual analysis: the Catalano phone call data set case study.
Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery: Integrating Automated Analysis with Interactive Exploration, 2009

Multiple step social structure analysis with Cytoscape.
Proceedings of the 4th IEEE Symposium on Visual Analytics Science and Technology, 2009

A Distributed Algorithm for Resource Allocation for Delay Sensitive Services.
Proceedings of the IEEE 14th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2009

2008
Local Vote Decision Fusion for Target Detection in Wireless Sensor Networks.
IEEE Trans. Signal Process., 2008

Modeling, scheduling, and simulation of switched processing systems.
ACM Trans. Model. Comput. Simul., 2008

Sequential Experiment Design for Contour Estimation From Complex Computer Codes.
Technometrics, 2008

Robust Target Localization From Binary Decisions in Wireless Sensor Networks.
Technometrics, 2008

Graph-Based Semisupervised Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Optimal sampling in state space models with applications to network monitoring.
Proceedings of the 2008 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2008

Distributed and Dynamic Resource Allocation for Delay Sensitive Network Services.
Proceedings of the Global Communications Conference, 2008. GLOBECOM 2008, New Orleans, LA, USA, 30 November, 2008

2007
Extreme Value Theory: An Introduction.
Technometrics, 2007

Statistical Aspects of the Analysis of Data Networks.
Technometrics, 2007

Sampled Based Estimation of Network Traffic Flow Characteristics.
Proceedings of the INFOCOM 2007. 26th IEEE International Conference on Computer Communications, 2007

A Measurement Based Dynamic Policy for Switched Processing Systems.
Proceedings of IEEE International Conference on Communications, 2007

2006
Profit-oriented resource allocation using online scheduling in flexible heterogeneous networks.
Telecommun. Syst., 2006

Optimal processor allocation to differentiated job flows.
Perform. Evaluation, 2006

LASS: a tool for the local analysis of self-similarity.
Comput. Stat. Data Anal., 2006

Estimation of Flow Lengths from Sampled Traffic.
Proceedings of the Global Telecommunications Conference, 2006. GLOBECOM '06, San Francisco, CA, USA, 27 November, 2006

Improving quality of service for switched processing systems.
Proceedings of the IEEE 11th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2006

2005
Local area network analysis using end-to-end delay tomography.
SIGMETRICS Perform. Evaluation Rev., 2005

Queueing Networks of Random Link Topology: Stationary Dynamics of Maximal Throughput Schedules.
Queueing Syst. Theory Appl., 2005

Homogeneity analysis using absolute deviations.
Comput. Stat. Data Anal., 2005

Queueing analysis of network traffic: methodology and visualization tools.
Comput. Networks, 2005

On the Singular Behavior of a Queueing System with Random Connectivity.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004
Simulating Sample Paths of Linear Fractional Stable Motion.
IEEE Trans. Inf. Theory, 2004

2003
The Application of Rule-Based Methods to Class Prediction Problems in Genomics.
J. Comput. Biol., 2003

Queueing network simulation analysis: developing efficient simulation methodology for complex queueing networks.
Proceedings of the 35th Winter Simulation Conference: Driving Innovation, 2003

Optimal allocation in a queueing system with shared resources.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

2002
General methodology 2: an efficient method for simulating fractional stable motion.
Proceedings of the 34th Winter Simulation Conference: Exploring New Frontiers, 2002

2001
Dynamic on-line task scheduling on parallel processors.
Perform. Evaluation, 2001

Data Visualization through Graph Drawing.
Comput. Stat., 2001


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