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Picture for Ioannis Ch. Paschalidis

Online Baum-Welch algorithm for Hierarchical Imitation Learning


Mar 22, 2021
Vittorio Giammarino, Ioannis Ch. Paschalidis

* 15 pages, 2 figures 

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Strongly Adaptive OCO with Memory


Feb 02, 2021
Zhiyu Zhang, Ashok Cutkosky, Ioannis Ch. Paschalidis


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Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach


Dec 19, 2020
James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras

* To appear in Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) 

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Explainability of Intelligent Transportation Systems using Knowledge Compilation: a Traffic Light Controller Case


Jul 09, 2020
Salomón Wollenstein-Betech, Christian Muise, Christos G. Cassandras, Ioannis Ch. Paschalidis, Yasaman Khazaeni

* Proc. IEEE Int. Conf. on Intelligent Transportation Systems, Rhodes, Greece, 2020. (In Press) 

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Robust Grouped Variable Selection Using Distributionally Robust Optimization


Jun 10, 2020
Ruidi Chen, Ioannis Ch. Paschalidis


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Robustified Multivariate Regression and Classification Using Distributionally Robust Optimization under the Wasserstein Metric


Jun 10, 2020
Ruidi Chen, Ioannis Ch. Paschalidis


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Local SGD With a Communication Overhead Depending Only on the Number of Workers


Jun 03, 2020
Artin Spiridonoff, Alex Olshevsky, Ioannis Ch. Paschalidis


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Asymptotic Network Independence in Distributed Optimization for Machine Learning


Jul 26, 2019
Alex Olshevsky, Ioannis Ch. Paschalidis, Shi Pu


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A Non-Asymptotic Analysis of Network Independence for Distributed Stochastic Gradient Descent


Jul 23, 2019
Alex Olshevsky, Ioannis Ch. Paschalidis, Shi Pu


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Convergence of Parameter Estimates for Regularized Mixed Linear Regression Models


Mar 21, 2019
Taiyao Wang, Ioannis Ch. Paschalidis


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Prescriptive Cluster-Dependent Support Vector Machines with an Application to Reducing Hospital Readmissions


Mar 21, 2019
Taiyao Wang, Ioannis Ch. Paschalidis


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Clinical Concept Extraction with Contextual Word Embedding


Oct 24, 2018
Henghui Zhu, Ioannis Ch. Paschalidis, Amir Tahmasebi

* Submitted to NIPS ML4H workshop 

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A Robust Learning Algorithm for Regression Models Using Distributionally Robust Optimization under the Wasserstein Metric


May 10, 2018
Ruidi Chen, Ioannis Ch. Paschalidis


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Predicting Chronic Disease Hospitalizations from Electronic Health Records: An Interpretable Classification Approach


Jan 03, 2018
Theodora S. Brisimi, Tingting Xu, Taiyao Wang, Wuyang Dai, William G. Adams, Ioannis Ch. Paschalidis


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Statistical Anomaly Detection via Composite Hypothesis Testing for Markov Models


Aug 18, 2017
Jing Zhang, Ioannis Ch. Paschalidis

* Preprint submitted to the IEEE Transactions on Signal Processing 

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Learning Policies for Markov Decision Processes from Data


Jan 21, 2017
Manjesh K. Hanawal, Hao Liu, Henghui Zhu, Ioannis Ch. Paschalidis


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Network Anomaly Detection: A Survey and Comparative Analysis of Stochastic and Deterministic Methods


Sep 19, 2013
Jing Wang, Daniel Rossell, Christos G. Cassandras, Ioannis Ch. Paschalidis

* 7 pages. 1 more figure than final CDC 2013 version 

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Temporal Logic Motion Control using Actor-Critic Methods


Feb 23, 2012
Xu Chu Ding, Jing Wang, Morteza Lahijanian, Ioannis Ch. Paschalidis, Calin A. Belta

* Technical Report which accompanies an ICRA2012 paper 

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Least Squares Temporal Difference Actor-Critic Methods with Applications to Robot Motion Control


Aug 30, 2011
Reza Moazzez Estanjini, Xu Chu Ding, Morteza Lahijanian, Jing Wang, Calin A. Belta, Ioannis Ch. Paschalidis

* Technical report accompanying an accepted paper to CDC 2011 

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