Data Visualization through Graph Drawing. - George Michailidis; Jan de Leeuw 001 (Comput. Stat., 2001)

Dynamic on-line task scheduling on parallel processors. - Cathy H. Xia; George Michailidis; Nicholas Bambos (Perform. Evaluation, 2001)

General methodology 2: an efficient method for simulating fractional stable motion. - Wei Biao Wu; George Michailidis; Danlu Zhang (WSC, 2002)

Optimal allocation in a queueing system with shared resources. - George Michailidis (CDC, 2003)

Queueing network simulation analysis: developing efficient simulation methodology for complex queueing networks. - Ying-Chao Hung; George Michailidis; Derek R. Bingham (WSC, 2003)

The Application of Rule-Based Methods to Class Prediction Problems in Genomics. - George Michailidis; Kerby Shedden (J. Comput. Biol., 2003)

Simulating Sample Paths of Linear Fractional Stable Motion. - Wei Biao Wu; George Michailidis; Danlu Zhang (IEEE Trans. Inf. Theory, 2004)

On the Singular Behavior of a Queueing System with Random Connectivity. - George Michailidis; Nicholas Bambos (CDC/ECC, 2005)

Queueing analysis of network traffic: methodology and visualization tools. - David A. Rolls; George Michailidis; Félix Hernández-Campos (Comput. Networks, 2005)

Homogeneity analysis using absolute deviations. - George Michailidis; Jan de Leeuw 001 (Comput. Stat. Data Anal., 2005)

Queueing Networks of Random Link Topology: Stationary Dynamics of Maximal Throughput Schedules. - Nicholas Bambos; George Michailidis (Queueing Syst. Theory Appl., 2005)

Local area network analysis using end-to-end delay tomography. - Earl Lawrence; George Michailidis; Vijay N. Nair (SIGMETRICS Perform. Evaluation Rev., 2005)

Improving quality of service for switched processing systems. - Ying-Chao Hung; George Michailidis (CAMAD, 2006)

Estimation of Flow Lengths from Sampled Traffic. - Lili Yang; George Michailidis (GLOBECOM, 2006)

LASS: a tool for the local analysis of self-similarity. - Stilian Stoev; Murad S. Taqqu; Cheolwoo Park; George Michailidis; J. S. Marron (Comput. Stat. Data Anal., 2006)

Optimal processor allocation to differentiated job flows. - Kimberly M. Wasserman; George Michailidis; Nicholas Bambos (Perform. Evaluation, 2006)

Profit-oriented resource allocation using online scheduling in flexible heterogeneous networks. - Peng Xu; George Michailidis; Michael Devetsikiotis (Telecommun. Syst., 2006)

A Measurement Based Dynamic Policy for Switched Processing Systems. - Ying-Chao Hung; George Michailidis (ICC, 2007)

Sampled Based Estimation of Network Traffic Flow Characteristics. - Lili Yang; George Michailidis (INFOCOM, 2007)

Statistical Aspects of the Analysis of Data Networks. - Lorraine Denby; Jim Landwehr; Colin L. Mallows; Jean Meloche; John Tuck; Bowei Xi; George Michailidis; Vijayan N. Nair (Technometrics, 2007)

Extreme Value Theory: An Introduction. - George Michailidis; Stilian Stoev (Technometrics, 2007)

Distributed and Dynamic Resource Allocation for Delay Sensitive Network Services. - Michael G. Kallitsis; Robert D. Callaway; Michael Devetsikiotis; George Michailidis (GLOBECOM, 2008)

Optimal sampling in state space models with applications to network monitoring. - Harsh Singhal; George Michailidis (SIGMETRICS, 2008)

Graph-Based Semisupervised Learning. - Mark Vere Culp; George Michailidis (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Robust Target Localization From Binary Decisions in Wireless Sensor Networks. - Natallia Katenka; Elizaveta Levina; George Michailidis (Technometrics, 2008)

Sequential Experiment Design for Contour Estimation From Complex Computer Codes. - Pritam Ranjan; Derek Bingham; George Michailidis (Technometrics, 2008)

Modeling, scheduling, and simulation of switched processing systems. - Ying-Chao Hung; George Michailidis (ACM Trans. Model. Comput. Simul., 2008)

Local Vote Decision Fusion for Target Detection in Wireless Sensor Networks. - Natallia Katenka; Elizaveta Levina; George Michailidis (IEEE Trans. Signal Process., 2008)

A Distributed Algorithm for Resource Allocation for Delay Sensitive Services. - Michael G. Kallitsis; Robert D. Callaway; Michael Devetsikiotis; George Michailidis (CAMAD, 2009)

Multiple step social structure analysis with Cytoscape. - Hao Zhou; Anna A. Shaverdian; H. V. Jagadish; George Michailidis (IEEE VAST, 2009)

Algebraic visual analysis: the Catalano phone call data set case study. - Anna A. Shaverdian; Hao Zhou; George Michailidis; H. V. Jagadish (KDD Workshop on Visual Analytics and Knowledge Discovery, 2009)

Analysis of Gene Sets Based on the Underlying Regulatory Network. - Ali Shojaie; George Michailidis (J. Comput. Biol., 2009)

Measurement-based optimal resource allocation for network services with pricing differentiation. - Michael G. Kallitsis; George Michailidis; Michael Devetsikiotis (Perform. Evaluation, 2009)

On Global Modeling of Backbone Network Traffic. - Stilian Stoev; George Michailidis; Joel Vaughan (INFOCOM, 2010)

Querying graphs with uncertain predicates. - Hao Zhou; Anna A. Shaverdian; H. V. Jagadish; George Michailidis (MLG@KDD, 2010)

Penalized Principal Component Regression on Graphs for Analysis of Subnetworks. - Ali Shojaie; George Michailidis (NIPS, 2010)

Discovering graphical Granger causality using the truncating lasso penalty. - Ali Shojaie; George Michailidis (Bioinform., 2010)

Global Modeling and Prediction of Computer Network Traffic - Stilian Stoev; George Michailidis; Joel Vaughan (CoRR, 2010)

The Ensemble Bridge Algorithm: A New Modeling Tool for Drug Discovery Problems. - Mark Vere Culp; Kjell Johnson; George Michailidis (J. Chem. Inf. Model., 2010)

Network Decomposition in Practice: An Application to Optimal Resource Allocation. - Michael G. Kallitsis; George Michailidis; Michael Devetsikiotis (GLOBECOM, 2011)

Aggregated-DAG Scheduling for Job Flow Maximization in Heterogeneous Cloud Computing. - Boonyarith Saovapakhiran; George Michailidis; Michael Devetsikiotis (GLOBECOM, 2011)

Local energy storage sizing in plug-in hybrid electric vehicle charging stations under blocking probability constraints. - I. Safak Bayram; George Michailidis; Michael Devetsikiotis; Subhashish Bhattacharya; Aranya Chakrabortty; Fabrizio Granelli (SmartGridComm, 2011)

A decentralized algorithm for optimal resource allocation in smartgrids with communication network externalities. - Michael G. Kallitsis; George Michailidis; Michael Devetsikiotis (SmartGridComm, 2011)

Structural Models for Dual Modality Data With Application to Network Tomography. - Harsh Singhal; George Michailidis (IEEE Trans. Inf. Theory, 2011)

Estimating Heavy-Tail Exponents Through Max Self-Similarity. - Stilian Stoev; George Michailidis; Murad S. Taqqu (IEEE Trans. Inf. Theory, 2011)

A decentralized ID algorithm for detecting slow-fast oscillations in power systems from overwhelming volumes of phasor data. - Aranya Chakrabortty; George Michailidis; Yufeng Xin (CDC, 2012)

Average delay SLAs in Cloud computing. - Boonyarith Saovapakhiran; Michael Devetsikiotis; George Michailidis; Yannis Viniotis (ICC, 2012)

An algorithm for joint guidance and power control for electric vehicles in the smart grid. - Boonyarith Saovapakhiran; George Michailidis; Michael Devetsikiotis (ICC, 2012)

Demand response control for PHEV charging stations by dynamic price adjustments. - Daehyun Ban; George Michailidis; Michael Devetsikiotis (ISGT, 2012)

Strategies for competing energy storage technologies for in DC fast charging stations. - I. Safak Bayram; George Michailidis; Michael Devetsikiotis; Babak Parkhideh (SmartGridComm, 2012)

THINK Back: KNowledge-based Interpretation of High Throughput data. - Fernando Farfán; Jun Ma; Maureen A. Sartor; George Michailidis; H. V. Jagadish (BMC Bioinform., 2012)

A Graph Algebra for Scalable Visual Analytics. - Anna A. Shaverdian; Hao Zhou; George Michailidis; H. V. Jagadish (IEEE Computer Graphics and Applications, 2012)

Stability and Control of Acyclic Stochastic Processing Networks With Shared Resources. - Ying-Chao Hung; George Michailidis (IEEE Trans. Autom. Control., 2012)

Optimal Power Allocation Under Communication Network Externalities. - Michael G. Kallitsis; George Michailidis; Michael Devetsikiotis (IEEE Trans. Smart Grid, 2012)

Discovery of path-important nodes using structured semi-nonnegative matrix factorization. - Shawn Mankad; George Michailidis (CAMSAP, 2013)

Decentralized control of electric vehicles in a network of fast charging stations. - I. Safak Bayram; George Michailidis; Ioannis Papapanagiotou; Michael Devetsikiotis (GLOBECOM, 2013)

Power allocation to a network of charging stations based on network tomography monitoring. - George Michailidis (DSP, 2013)

Electric power resource provisioning for large scale public EV charging facilities. - I. Safak Bayram; George Michailidis; Michael Devetsikiotis (SmartGridComm, 2013)

Discovering the ecosystem of an electronic financial market with a dynamic machine-learning method. - Shawn Mankad; George Michailidis; Andrei Kirilenko (Algorithmic Finance, 2013)

OKVAR-Boost: a novel boosting algorithm to infer nonlinear dynamics and interactions in gene regulatory networks. - Néhémy Lim; Yasin Senbabaoglu; George Michailidis; Florence d'Alché-Buc (Bioinform., 2013)

A State-Space Approach for Optimal Traffic Monitoring via Network Flow Sampling. - Michael G. Kallitsis; Stilian Stoev; George Michailidis (CoRR, 2013)

Structural and Functional Discovery in Dynamic Networks with Non-negative Matrix Factorization - Shawn Mankad; George Michailidis (CoRR, 2013)

Electric Power Allocation in a Network of Fast Charging Stations. - I. Safak Bayram; George Michailidis; Michael Devetsikiotis; Fabrizio Granelli (IEEE J. Sel. Areas Commun., 2013)

Network-Wide Statistical Modeling, Prediction, and Monitoring of Computer Traffic. - Joel Vaughan; Stilian Stoev; George Michailidis (Technometrics, 2013)

Fast Algorithms for Optimal Link Selection in Large-Scale Network Monitoring. - Michael G. Kallitsis; Stilian Stoev; George Michailidis (IEEE Trans. Signal Process., 2013)

Do U.S. Regulators Listen to the Public? Testing the Regulatory Process with the RegRank Algorithm. - Andrei Kirilenko; Shawn Mankad; George Michailidis (DSMM, 2014)

Visual Analytics for Network-Based Market Surveillance. - Shawn Mankad; George Michailidis; Celso Brunetti (DSMM, 2014)

Hashing Pursuit for Online Identification of Heavy-Hitters in High-Speed Network Streams. - Michael G. Kallitsis; Stilian Stoev; George Michailidis (CoRR, 2014)

Measuring Influence in Twitter Ecosystems using a Counting Process Modeling Framework. - Donggeng Xia; Shawn Mankad; George Michailidis (CoRR, 2014)

Correlative monitoring for detection of false data injection attacks in smart grids. - Michael G. Kallitsis; George Michailidis; Samir Tout (SmartGridComm, 2015)

Analysis of Multiview Legislative Networks with Structured Matrix Factorization: Does Twitter Influence Translate to the Real World? - Shawn Mankad; George Michailidis (CoRR, 2015)

Optimal routing for electric vehicle service systems. - Ying-Chao Hung; George Michailidis (Eur. J. Oper. Res., 2015)

Network granger causality with inherent grouping structure. - Sumanta Basu; Ali Shojaie; George Michailidis (J. Mach. Learn. Res., 2015)

Operator-valued kernel-based vector autoregressive models for network inference. - Néhémy Lim; Florence d'Alché-Buc; Cédric Auliac; George Michailidis (Mach. Learn., 2015)

Cone Schedules for Processing Systems in Fluctuating Environments. - Kevin Ross; Nicholas Bambos; George Michailidis (IEEE Trans. Autom. Control., 2015)

Socially Optimal Charging Strategies for Electric Vehicles. - Elena Yudovina; George Michailidis (IEEE Trans. Autom. Control., 2015)

Two-Stage Plans for Estimating the Inverse of a Monotone Function. - Runlong Tang; Moulinath Banerjee; George Michailidis; Shawn Mankad (Technometrics, 2015)

Unsplittable Load Balancing in a Network of Charging Stations Under QoS Guarantees. - Islam Safak Bayram; George Michailidis; Michael Devetsikiotis (IEEE Trans. Smart Grid, 2015)

Measuring Systemic Risk with Network Connectivity: Extended Abstract. - Sumanta Basu; Sreyoshi Das; George Michailidis; Amiyatosh Purnanandam (DSMM@SIGMOD, 2016)

Adaptive statistical detection of false data injection attacks in smart grids. - Michael G. Kallitsis; Shrijita Bhattacharya; Stilian Stoev; George Michailidis (GlobalSIP, 2016)

Network-based pathway enrichment analysis with incomplete network information. - Jing Ma; Ali Shojaie; George Michailidis (Bioinform., 2016)

A non-negative matrix factorization method for detecting modules in heterogeneous omics multi-modal data. - Zi Yang; George Michailidis (Bioinform., 2016)

Penalized Maximum Likelihood Estimation of Multi-layered Gaussian Graphical Models. - Jiahe Lin; Sumanta Basu; Moulinath Banerjee; George Michailidis (J. Mach. Learn. Res., 2016)

Joint Structural Estimation of Multiple Graphical Models. - Jing Ma; George Michailidis (J. Mach. Learn. Res., 2016)

AMON: An Open Source Architecture for Online Monitoring, Statistical Analysis, and Forensics of Multi-Gigabit Streams. - Michael G. Kallitsis; Stilian A. Stoev; Shrijita Bhattacharya; George Michailidis (IEEE J. Sel. Areas Commun., 2016)

Measuring Influence of Users in Twitter Ecosystems Using a Counting Process Modeling Framework. - Donggeng Xia; Shawn Mankad; George Michailidis (Technometrics, 2016)

Sparse network modeling and metscape-based visualization methods for the analysis of large-scale metabolomics data. - Sumanta Basu; William Duren; Charles R. Evans; Charles F. Burant; George Michailidis; Alla Karnovsky (Bioinform., 2017)

Fast Monte Carlo Algorithms for Tensor Operations. - Davoud Ataee Tarzanagh; George Michailidis (CoRR, 2017)

Finite Time Analysis of Optimal Adaptive Policies for Linear-Quadratic Systems. - Mohamad Kazem Shirani Faradonbeh; Ambuj Tewari; George Michailidis (CoRR, 2017)

Structural optimization under overhang constraints imposed by additive manufacturing technologies. - Grégoire Allaire; Charles Dapogny; R. Estevez; Alexis Faure; George Michailidis (J. Comput. Phys., 2017)

Regularized Estimation and Testing for High-Dimensional Multi-Block Vector-Autoregressive Models. - Jiahe Lin; George Michailidis (J. Mach. Learn. Res., 2017)

Estimation of Graphical Models through Structured Norm Minimization. - Davoud Ataee Tarzanagh; George Michailidis (J. Mach. Learn. Res., 2017)

Optimality of Fast-Matching Algorithms for Random Networks With Applications to Structural Controllability. - Mohamad Kazem Shirani Faradonbeh; Ambuj Tewari; George Michailidis (IEEE Trans. Control. Netw. Syst., 2017)

Detection of False Data Injection Attacks in Smart Grids Based on Forecasts. - Michael G. Kallitsis; Shrijita Bhattacharya; George Michailidis (SmartGridComm, 2018)

Finite time identification in unstable linear systems. - Mohamad Kazem Shirani Faradonbeh; Ambuj Tewari; George Michailidis (Autom., 2018)

On Optimality of Adaptive Linear-Quadratic Regulators. - Mohamad Kazem Shirani Faradonbeh; Ambuj Tewari; George Michailidis (CoRR, 2018)

Finite Time Adaptive Stabilization of LQ Systems. - Mohamad Kazem Shirani Faradonbeh; Ambuj Tewari; George Michailidis (CoRR, 2018)

Input Perturbations for Adaptive Regulation and Learning. - Mohamad Kazem Shirani Faradonbeh; Ambuj Tewari; George Michailidis (CoRR, 2018)

Fast Randomized Algorithms for t-Product Based Tensor Operations and Decompositions with Applications to Imaging Data. - Davoud Ataee Tarzanagh; George Michailidis (SIAM J. Imaging Sci., 2018)

On Applications of Bootstrap in Continuous Space Reinforcement Learning. - Mohamad Kazem Shirani Faradonbeh; Ambuj Tewari; George Michailidis (CDC, 2019)

Randomized Algorithms for Data-Driven Stabilization of Stochastic Linear Systems. - Mohamad Kazem Shirani Faradonbeh; Ambuj Tewari; George Michailidis (DSW, 2019)

Online Distributed Estimation of Principal Eigenspaces. - Davoud Ataee Tarzanagh; Mohamad Kazem Shirani Faradonbeh; George Michailidis (DSW, 2019)

The Impact of an Online Tutoring Program for Algebra Readiness on Mathematics Achievements; Results of a Randomized Experiment. - Sahba Akhavan Niaki; Clint P. George; George Michailidis; Carole R. Beal (LAK, 2019)

Investigating the Usage Patterns of Algebra Nation Tutoring Platform. - Sahba Akhavan Niaki; Clint P. George; George Michailidis; Carole R. Beal (LAK, 2019)

Analyses of Multi-collection Corpora via Compound Topic Modeling. - Clint P. George; Wei Xia; George Michailidis (LOD, 2019)

Directed Acyclic Graph Reconstruction Leveraging Prior Partial Ordering Information. - Pei-Li Wang; George Michailidis (LOD, 2019)

Preface: Computational biomedicine. - Anton Kocheturov; Panos M. Pardalos; George Michailidis (Ann. Oper. Res., 2019)

Differential network enrichment analysis reveals novel lipid pathways in chronic kidney disease. - Jing Ma; Alla Karnovsky; Farsad Afshinnia; Janis E. Wigginton; Daniel J. Rader; Loki Natarajan; Kumar Sharma; Anna C. Porter; Mahboob Rahman; Jiang He; Lee Hamm; Tariq Shafi; et al. (Bioinform., 2019)

Quantifying heterogeneity of expression data based on principal components. - Zi Yang; George Michailidis (Bioinform., 2019)

A comparative study of topology-based pathway enrichment analysis methods. - Jing Ma; Ali Shojaie; George Michailidis (BMC Bioinform., 2019)

Regularized joint estimation of related vector autoregressive models. - Andrey Skripnikov; George Michailidis (Comput. Stat. Data Anal., 2019)

Finite-Time Adaptive Stabilization of Linear Systems. - Mohamad Kazem Shirani Faradonbeh; Ambuj Tewari; George Michailidis (IEEE Trans. Autom. Control., 2019)

Modeling and Optimization of Time-of-Use Electricity Pricing Systems. - Ying-Chao Hung; George Michailidis (IEEE Trans. Smart Grid, 2019)

Low Rank and Structured Modeling of High-Dimensional Vector Autoregressions. - Sumanta Basu; Xianqi Li; George Michailidis (IEEE Trans. Signal Process., 2019)

Corrections to "Low Rank and Structured Modeling of High-Dimensional Vector Autoregressions". - Sumanta Basu; Xianqi Li; George Michailidis (IEEE Trans. Signal Process., 2019)

Input perturbations for adaptive control and learning. - Mohamad Kazem Shirani Faradonbeh; Ambuj Tewari; George Michailidis (Autom., 2020)

On adaptive Linear-Quadratic regulators. - Mohamad Kazem Shirani Faradonbeh; Ambuj Tewari; George Michailidis (Autom., 2020)

Deep annotation of untargeted LC-MS metabolomics data with Binner. - Maureen Kachman; Hani Habra; William Duren; Janis E. Wigginton; Peter Sajjakulnukit; George Michailidis; Charles F. Burant; Alla Karnovsky (Bioinform., 2020)

Online detection of local abrupt changes in high-dimensional Gaussian graphical models. - Hossein Keshavarz; George Michailidis (CoRR, 2020)

Adaptive First-and Zeroth-order Methods for Weakly Convex Stochastic Optimization Problems. - Parvin Nazari; Davoud Ataee Tarzanagh; George Michailidis (CoRR, 2020)

Automatic Registration and Convex Clustering of Time Series. - Michael Weylandt; George Michailidis (CoRR, 2020)

Change Point Estimation in a Dynamic Stochastic Block Model. - Monika Bhattacharjee; Moulinath Banerjee; George Michailidis (J. Mach. Learn. Res., 2020)

Sequential change-point detection in high-dimensional Gaussian graphical models. - Hossein Keshavarz; George Michailidis; Yves F. Atchadé (J. Mach. Learn. Res., 2020)

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

A Statistical Framework for Detecting Electricity Theft Activities in Smart Grid Distribution Networks. - Jin Tao; George Michailidis (IEEE J. Sel. Areas Commun., 2020)

Locating Infinite Discontinuities in Computer Experiments. - Ying-Chao Hung; George Michailidis; Horace PakHai Lok (SIAM/ASA J. Uncertain. Quantification, 2020)

Multiple Change Points Detection in Low Rank and Sparse High Dimensional Vector Autoregressive Models. - Peiliang Bai; Abolfazl Safikhani; George Michailidis (IEEE Trans. Signal Process., 2020)

System Identification of High-Dimensional Linear Dynamical Systems With Serially Correlated Output Noise Components. - Jiahe Lin; George Michailidis (IEEE Trans. Signal Process., 2020)

The effects of a personalized recommendation system on students' high-stakes achievement scores: A field experiment. - Nilanjana Chakraborty; Samrat Roy; Walter L. Leite; George Michailidis (EDM, 2021)

Solving a Class of Non-Convex Min-Max Games Using Adaptive Momentum Methods. - Babak Barazandeh; Davoud Ataee Tarzanagh; George Michailidis (ICASSP, 2021)

Automatic Registration and Clustering of Time Series. - Michael Weylandt; George Michailidis (ICASSP, 2021)

Flow-based Attribution in Graphical Models: A Recursive Shapley Approach. - Raghav Singal; George Michailidis; Hoiyi Ng (ICML, 2021)

Sparse Partial Least Squares for Coarse Noisy Graph Alignment. - Michael Weylandt; George Michailidis; T. Mitchell Roddenberry (SSP, 2021)

A decentralized adaptive momentum method for solving a class of min-max optimization problems. - Babak Barazandeh; Tianjian Huang; George Michailidis (Signal Process., 2021)

Optimism-Based Adaptive Regulation of Linear-Quadratic Systems. - Mohamad Kazem Shirani Faradonbeh; Ambuj Tewari; George Michailidis (IEEE Trans. Autom. Control., 2021)

On The Convergence of ADAM-Type Algorithms for Solving Structured Single Node and Decentralized Min-Max Saddle Point Games. - Babak Barazandeh; Kristal Curtis; Chandrima Sarkar; Ram Sriharsha; George Michailidis (ICASSP, 2022)

A novel video recommendation system for algebra: An effectiveness evaluation study. - Walter L. Leite; Samrat Roy; Nilanjana Chakraborty; George Michailidis; Anne Corinne Huggins-Manley; Sidney D'Mello; Mohamad Kazem Shirani Faradonbeh; Emily Jensen; Huan Kuang; Zeyuan Jing (LAK, 2022)

Heterogeneity of Treatment Effects of a Video Recommendation System for Algebra. - Walter L. Leite; Huan Kuang; Zuchao Shen; Nilanjana Chakraborty; George Michailidis; Sidney D'Mello; Wanli Xing (L@S, 2022)

A Coupled CP Decomposition for Principal Components Analysis of Symmetric Networks. - Michael Weylandt; George Michailidis (CoRR, 2022)

Explaining the root causes of unit-level changes. - Kailash Budhathoki; George Michailidis; Dominik Janzing (CoRR, 2022)

Optimal routing for electric vehicle charging systems with stochastic demand: A heavy traffic approximation approach. - Ying-Chao Hung; Horace PakHai Lok; George Michailidis (Eur. J. Oper. Res., 2022)

Fast and Scalable Algorithm for Detection of Structural Breaks in Big VAR Models. - Abolfazl Safikhani; Yue Bai; George Michailidis (J. Comput. Graph. Stat., 2022)

Joint Estimation and Inference for Data Integration Problems based on Multiple Multi-layered Gaussian Graphical Models. - Subhabrata Majumdar; George Michailidis (J. Mach. Learn. Res., 2022)

Regularized and Smooth Double Core Tensor Factorization for Heterogeneous Data. - Davoud Ataee Tarzanagh; George Michailidis (J. Mach. Learn. Res., 2022)

Hybrid Modeling of Regional COVID-19 Transmission Dynamics in the U.S. - Yue Bai; Abolfazl Safikhani; George Michailidis (IEEE J. Sel. Top. Signal Process., 2022)

A generalized likelihood-based Bayesian approach for scalable joint regression and covariance selection in high dimensions. - Srijata Samanta; Kshitij Khare; George Michailidis (Stat. Comput., 2022)

A Novel Data-Driven Approach for Solving the Electric Vehicle Charging Station Location-Routing Problem. - Ying-Chao Hung; George Michailidis (IEEE Trans. Intell. Transp. Syst., 2022)

A Fast Detection Method of Break Points in Effective Connectivity Networks. - Peiliang Bai; Abolfazl Safikhani; George Michailidis (IEEE Trans. Medical Imaging, 2022)

DAdam: A Consensus-Based Distributed Adaptive Gradient Method for Online Optimization. - Parvin Nazari; Davoud Ataee Tarzanagh; George Michailidis (IEEE Trans. Signal Process., 2022)

Bayesian Spiked Laplacian Graphs. - Leo L. Duan; George Michailidis; Mingzhou Ding (J. Mach. Learn. Res., 2023)

Low Tree-Rank Bayesian Vector Autoregression Models. - Leo L. Duan; Zeyu Yuwen; George Michailidis; Zhengwu Zhang (J. Mach. Learn. Res., 2023)

Inference on the Change Point under a High Dimensional Covariance Shift. - Abhishek Kaul; Hongjin Zhang; Konstantinos Tsampourakis; George Michailidis (J. Mach. Learn. Res., 2023)

A General Modeling Framework for Network Autoregressive Processes. - Hang Yin; Abolfazl Safikhani; George Michailidis (Technometrics, 2023)

Joint learning of linear time-invariant dynamical systems. - Aditya Modi 002; Mohamad Kazem Shirani Faradonbeh; Ambuj Tewari; George Michailidis (Autom., 2024)

Deep Learning-based Approaches for State Space Models: A Selective Review. - Jiahe Lin; George Michailidis (CoRR, 2024)

Structural Discovery with Partial Ordering Information for Time-Dependent Data with Convergence Guarantees. - Jiahe Lin; Huitian Lei; George Michailidis (J. Comput. Graph. Stat., 2024)

Axiomatic effect propagation in structural causal models. - Raghav Singal; George Michailidis (J. Mach. Learn. Res., 2024)

A VAE-based Framework for Learning Multi-Level Neural Granger-Causal Connectivity. - Jiahe Lin; Huitian Lei; George Michailidis (Trans. Mach. Learn. Res., 2024)

DNEA: an R package for fast and versatile data-driven network analysis of metabolomics data. - Christopher Patsalis; Gayatri Iyer; Marci Brandenburg; Alla Karnovsky; George Michailidis (BMC Bioinform., 2024)

A penalty-based method for communication-efficient decentralized bilevel programming. - Parvin Nazari; Ahmad Mousavi; Davoud Ataee Tarzanagh; George Michailidis (Autom., 2025)

Multi-Objective Reverse Offloading in Edge Computing for AI Tasks. - Petros Amanatidis; George Michailidis; Dimitris Karampatzakis; Vasileios Kalenteridis; George Iosifidis; Thomas Lagkas (IEEE Open J. Commun. Soc., 2025)

Covariate-dependent Graphical Model Estimation via Neural Networks with Statistical Guarantees. - Jiahe Lin; Yikai Zhang 003; George Michailidis (Trans. Mach. Learn. Res., 2025)

Neural Network-Based Change Point Detection for Large-Scale Time-Evolving Data. - Jialiang Geng; George Michailidis (CoRR, 2025)

Cardinality constrained mean-variance portfolios: a penalty decomposition algorithm. - Ahmad Mousavi; George Michailidis (Comput. Optim. Appl., 2025)