Ioannis Ch. Paschalidis

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 149

Top Venues

CoRR

CDC

Int. J. Medical Informatics

IEEE Trans. Autom. Control.

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis
Visually Robust Adversarial Imitation Learning from Videos with Contrastive Learning. CoRR (2024)
Shahabeddin Sotudian, Ioannis Ch. Paschalidis
ITNR: Inversion Transformer-based Neural Ranking for cancer drug recommendations. Comput. Biol. Medicine 172 (2024)
Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis
Adversarial Imitation Learning from Visual Observations using Latent Information. Trans. Mach. Learn. Res. 2024 (2024)
Haoxing Tian, Ioannis Ch. Paschalidis, Alex Olshevsky
One-Shot Averaging for Distributed TD (λ) Under Markov Sampling. IEEE Control. Syst. Lett. 8 (2024)
James Queeney, Erhan Can Ozcan, Ioannis Ch. Paschalidis, Christos G. Cassandras
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees. Trans. Mach. Learn. Res. 2024 (2024)
Erhan Can Ozcan, Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis
A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations. CoRR (2024)
Arsenii Mustafin, Aleksei Pakharev, Alex Olshevsky, Ioannis Ch. Paschalidis
MDP Geometry, Normalization and Value Free Solvers. CoRR (2024)
Haoxing Tian, Ioannis Ch. Paschalidis, Alex Olshevsky
One-Shot Averaging for Distributed TD(λ) Under Markov Sampling. CoRR (2024)
Erhan Can Ozcan, Berk Görgülü, Mustafa Gökçe Baydogan, Ioannis Ch. Paschalidis
Smooth Ranking SVM via Cutting-Plane Method. CoRR (2024)
Ehsan Sabouni, H. M. Sabbir Ahmad, Vittorio Giammarino, Christos G. Cassandras, Ioannis Ch. Paschalidis, Wenchao Li
Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical Systems. CoRR (2024)
Yijia Zhang, Athanasios Tsiligkaridis, Ioannis Ch. Paschalidis, Ayse K. Coskun
Data center and load aggregator coordination towards electricity demand response. Sustain. Comput. Informatics Syst. 42 (2024)
Jingmei Yang, Kenji C. Walker, Ayse A. Bekar-Cesaretli, Boran Hao, Nahid Bhadelia, Diane Joseph-McCarthy, Ioannis Ch. Paschalidis
Automating biomedical literature review for rapid drug discovery: Leveraging GPT-4 to expedite pandemic response. Int. J. Medical Informatics 189 (2024)
Mahtab Talaei, Apostolos I. Rikos, Alex Olshevsky, Laura F. White, Ioannis Ch. Paschalidis
Network-Based Epidemic Control Through Optimal Travel and Quarantine Management. CoRR (2024)
Yilei Chen, Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis
Provably Efficient Off-Policy Adversarial Imitation Learning with Convergence Guarantees. CoRR (2024)
Yilei Chen, Aldo Pacchiano, Ioannis Ch. Paschalidis
Multiple-policy Evaluation via Density Estimation. CoRR (2024)
Zhiyu Zhang, Heng Yang, Ashok Cutkosky, Ioannis Ch. Paschalidis
Improving Adaptive Online Learning Using Refined Discretization. ALT (2024)
Vittorio Giammarino, Matthew F. Dunne, Kylie N. Moore, Michael E. Hasselmo, Chantal E. Stern, Ioannis Ch. Paschalidis
Combining imitation and deep reinforcement learning to human-level performance on a virtual foraging task. Adapt. Behav. 32 (3) (2024)
Arsenii Mustafin, Alex Olshevsky, Ioannis Ch. Paschalidis
On Value Iteration Convergence in Connected MDPs. CoRR (2024)
Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis
Adversarial Imitation Learning from Visual Observations using Latent Information. CoRR (2023)
Yang Hu, Jasmine Huerta, Nicholas Cordella, Rebecca Grochow Mishuris, Ioannis Ch. Paschalidis
Personalized hypertension treatment recommendations by a data-driven model. BMC Medical Informatics Decis. Mak. 23 (1) (2023)
Guoyao Shen, Boran Hao, Mengyu Li, Chad W. Farris, Ioannis Ch. Paschalidis, Stephan W. Anderson, Xin Zhang
Attention Hybrid Variational Net for Accelerated MRI Reconstruction. CoRR (2023)
Nasser Hashemi, Boran Hao, Mikhail Ignatov, Ioannis Ch. Paschalidis, Pirooz Vakili, Sandor Vajda, Dima Kozakov
Improved prediction of MHC-peptide binding using protein language models. Frontiers Bioinform. 3 (2023)
Zhiyu Zhang, Ashok Cutkosky, Ioannis Ch. Paschalidis
Unconstrained Dynamic Regret via Sparse Coding. CoRR (2023)
Daniel Curtis Wilson, Fatih Acun, Siddhartha Jana, Federico Ardanaz, Jonathan M. Eastep, Ioannis Ch. Paschalidis, Ayse K. Coskun
An End-to-End HPC Framework for Dynamic Power Objectives. SC Workshops (2023)
James Queeney, Erhan Can Ozcan, Ioannis Ch. Paschalidis, Christos G. Cassandras
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees. CoRR (2023)
Ruidi Chen, Boran Hao, Ioannis Ch. Paschalidis
Distributionally Robust Multiclass Classification and Applications in Deep Image Classifiers. ICASSP (2023)
Haoxing Tian, Ioannis Ch. Paschalidis, Alex Olshevsky
On the Performance of Temporal Difference Learning With Neural Networks. CoRR (2023)
Boran Hao, Guoyao Shen, Ruidi Chen, Chad W. Farris, Stephan W. Anderson, Xin Zhang, Ioannis Ch. Paschalidis
Distributionally Robust Image Classifiers for Stroke Diagnosis in Accelerated MRI. MICCAI (5) (2023)
Erhan Can Ozcan, Ioannis Ch. Paschalidis
A Stackelberg Game Approach to Control the Overall Load Consumption of a Residential Neighborhood. CDC (2023)
Zhiyu Zhang, Heng Yang, Ashok Cutkosky, Ioannis Ch. Paschalidis
Improving Adaptive Online Learning Using Refined Discretization. CoRR (2023)
Haoxing Tian, Ioannis Ch. Paschalidis, Alex Olshevsky
On the Performance of Temporal Difference Learning With Neural Networks. ICLR (2023)
Yijia Zhang, Daniel Curtis Wilson, Ioannis Ch. Paschalidis, Ayse K. Coskun
HPC Data Center Participation in Demand Response: An Adaptive Policy With QoS Assurance. IEEE Trans. Sustain. Comput. 7 (1) (2022)
Zhiyu Zhang, Ashok Cutkosky, Ioannis Ch. Paschalidis
PDE-Based Optimal Strategy for Unconstrained Online Learning. CoRR (2022)
James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras
Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse. CoRR (2022)
Zhiyu Zhang, Ashok Cutkosky, Ioannis Ch. Paschalidis
Optimal Parameter-free Online Learning with Switching Cost. CoRR (2022)
Salomón Wollenstein-Betech, Chuangchuang Sun, Jing Zhang, Christos G. Cassandras, Ioannis Ch. Paschalidis
Joint Data-Driven Estimation of Origin-Destination Demand and Travel Latency Functions in Multiclass Transportation Networks. IEEE Trans. Control. Netw. Syst. 9 (4) (2022)
Salomón Wollenstein-Betech, Mauro Salazar, Arian Houshmand, Marco Pavone, Ioannis Ch. Paschalidis, Christos G. Cassandras
Routing and Rebalancing Intermodal Autonomous Mobility-on-Demand Systems in Mixed Traffic. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Zhiyu Zhang, Ashok Cutkosky, Ioannis Ch. Paschalidis
Adversarial Tracking Control via Strongly Adaptive Online Learning with Memory. AISTATS (2022)
Boran Hao, Yang Hu, Shahabeddin Sotudian, Zahra Zad, William G. Adams, Sabrina A. Assoumou, Heather Hsu, Rebecca Grochow Mishuris, Ioannis Ch. Paschalidis
Development and validation of predictive models for COVID-19 outcomes in a safety-net hospital population. J. Am. Medical Informatics Assoc. 29 (7) (2022)
Athanasios Tsiligkaridis, Jing Zhang, Ioannis Ch. Paschalidis, Hiroshi Taguchi, Satoko Sakajo, Daniel Nikovski
Context-Aware Destination and Time-To-Destination Prediction Using Machine learning. ISC2 (2022)
Vittorio Giammarino, Matthew F. Dunne, Kylie N. Moore, Michael E. Hasselmo, Chantal E. Stern, Ioannis Ch. Paschalidis
Learning from humans: combining imitation and deep reinforcement learning to accomplish human-level performance on a virtual foraging task. CoRR (2022)
Ruidi Chen, Boran Hao, Ioannis Ch. Paschalidis
Distributionally Robust Multiclass Classification and Applications in Deep Image Classifiers. CoRR (2022)
Zhiyu Zhang, Ashok Cutkosky, Ioannis Ch. Paschalidis
PDE-Based Optimal Strategy for Unconstrained Online Learning. ICML (2022)
Arsenii Mustafin, Alex Olshevsky, Ioannis Ch. Paschalidis
Closing the gap between SVRG and TD-SVRG with Gradient Splitting. CoRR (2022)
Shi Pu, Alex Olshevsky, Ioannis Ch. Paschalidis
A Sharp Estimate on the Transient Time of Distributed Stochastic Gradient Descent. IEEE Trans. Autom. Control. 67 (11) (2022)
Ruidi Chen, Ioannis Ch. Paschalidis
Robust Grouped Variable Selection Using Distributionally Robust Optimization. J. Optim. Theory Appl. 194 (3) (2022)
Shahabeddin Sotudian, Ioannis Ch. Paschalidis
Machine Learning for Pharmacogenomics and Personalized Medicine: A Ranking Model for Drug Sensitivity Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (4) (2022)
Daniel Curtis Wilson, Ioannis Ch. Paschalidis, Ayse K. Coskun
Site-Wide HPC Data Center Demand Response. HPEC (2022)
Yijia Zhang, Daniel C. Wilson, Ioannis Ch. Paschalidis, Ayse K. Coskun
A Data Center Demand Response Policy for Real-World Workload Scenarios in HPC. DATE (2021)
James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras
Generalized Proximal Policy Optimization with Sample Reuse. CoRR (2021)
Zhiyu Zhang, Ashok Cutkosky, Ioannis Ch. Paschalidis
Strongly Adaptive OCO with Memory. CoRR (2021)
Rhoda Au, Vijaya B. Kolachalama, Ioannis Ch. Paschalidis
Redefining and Validating Digital Biomarkers as Fluid, Dynamic Multi-Dimensional Digital Signal Patterns. Frontiers Digit. Health 3 (2021)
Zhiyu Zhang, Ioannis Ch. Paschalidis
Provable Hierarchical Imitation Learning via EM. AISTATS (2021)
Salomón Wollenstein-Betech, Ioannis Ch. Paschalidis, Christos G. Cassandras
Planning Strategies for Lane Reversals in Transportation Networks. ITSC (2021)
Vittorio Giammarino, Ioannis Ch. Paschalidis
Online Baum-Welch algorithm for Hierarchical Imitation Learning. CDC (2021)
Shahabeddin Sotudian, Ruidi Chen, Ioannis Ch. Paschalidis
Distributionally Robust Multi-Output Regression Ranking. CoRR (2021)
Vittorio Giammarino, Ioannis Ch. Paschalidis
Online Baum-Welch algorithm for Hierarchical Imitation Learning. CoRR (2021)
Ruidi Chen, Ioannis Ch. Paschalidis
Distributionally Robust Learning. CoRR (2021)
James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras
Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach. AAAI (2021)
Salomón Wollenstein-Betech, Ioannis Ch. Paschalidis, Christos G. Cassandras
Planning Strategies for Lane Reversals in Transportation Networks. CoRR (2021)
Ruidi Chen, Boran Hao, Ioannis Ch. Paschalidis
Distributionally Robust Multiclass Classification and Applications in Deep CNN Image Classifiers. CoRR (2021)
Tingting Xu, Henghui Zhu, Ioannis Ch. Paschalidis
Learning parametric policies and transition probability models of markov decision processes from data. Eur. J. Control 57 (2021)
Artin Spiridonoff, Alex Olshevsky, Ioannis Ch. Paschalidis
Communication-efficient SGD: From Local SGD to One-Shot Averaging. CoRR (2021)
Ioannis Ch. Paschalidis
Editorial The IEEE Transactions on Control of Network Systems and the Evolution of the Field. IEEE Trans. Control. Netw. Syst. 7 (1) (2020)
Salomón Wollenstein-Betech, Christos G. Cassandras, Ioannis Ch. Paschalidis
Personalized predictive models for symptomatic COVID-19 patients using basic preconditions: Hospitalizations, mortality, and the need for an ICU or ventilator. Int. J. Medical Informatics 142 (2020)
Boran Hao, Henghui Zhu, Ioannis Ch. Paschalidis
Enhancing Clinical BERT Embedding using a Biomedical Knowledge Base. COLING (2020)
Salomón Wollenstein-Betech, Arian Houshmand, Mauro Salazar, Marco Pavone, Christos G. Cassandras, Ioannis Ch. Paschalidis
Congestion-aware Routing and Rebalancing of Autonomous Mobility-on-Demand Systems in Mixed Traffic. CoRR (2020)
Ruidi Chen, Ioannis Ch. Paschalidis
Distributionally Robust Learning. Found. Trends Optim. 4 (1-2) (2020)
Zhiyu Zhang, Ioannis Ch. Paschalidis
Provable Hierarchical Imitation Learning via EM. CoRR (2020)
Athanasios Tsiligkaridis, Ioannis Ch. Paschalidis, Ayse K. Coskun
Coordinated Demand Response By Data Centers Using Inverse Optimization. SmartGridComm (2020)
Shi Pu, Alex Olshevsky, Ioannis Ch. Paschalidis
Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning: Examining Distributed and Centralized Stochastic Gradient Descent. IEEE Signal Process. Mag. 37 (3) (2020)
Salomón Wollenstein-Betech, Christian Muise, Christos G. Cassandras, Ioannis Ch. Paschalidis, Yasaman Khazaeni
Explainability of Intelligent Transportation Systems using Knowledge Compilation: a Traffic Light Controller Case. CoRR (2020)
Artin Spiridonoff, Alex Olshevsky, Ioannis Ch. Paschalidis
Robust Asynchronous Stochastic Gradient-Push: Asymptotically Optimal and Network-Independent Performance for Strongly Convex Functions. J. Mach. Learn. Res. 21 (2020)
James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras
Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach. CoRR (2020)
Salomón Wollenstein-Betech, Christian Muise, Christos G. Cassandras, Ioannis Ch. Paschalidis, Yasaman Khazaeni
Explainability of Intelligent Transportation Systems using Knowledge Compilation: a Traffic Light Controller Case. ITSC (2020)
Ruidi Chen, Ioannis Ch. Paschalidis
Robustified Multivariate Regression and Classification Using Distributionally Robust Optimization under the Wasserstein Metric. CoRR (2020)
Ruidi Chen, Ioannis Ch. Paschalidis
Robust Grouped Variable Selection Using Distributionally Robust Optimization. CoRR (2020)
Salomón Wollenstein-Betech, Ioannis Ch. Paschalidis, Christos G. Cassandras
Joint Pricing and Rebalancing of Autonomous Mobility-on-Demand Systems. CDC (2020)
Henghui Zhu, Hao Liu, Armin Ataei, Yonatan Munk, Thomas Daniel, Ioannis Ch. Paschalidis
Learning from animals: How to Navigate Complex Terrains. PLoS Comput. Biol. 16 (1) (2020)
Artin Spiridonoff, Alex Olshevsky, Ioannis Ch. Paschalidis
Local SGD With a Communication Overhead Depending Only on the Number of Workers. CoRR (2020)
Salomón Wollenstein-Betech, Ioannis Ch. Paschalidis, Christos G. Cassandras
Joint Pricing and Rebalancing of Autonomous Mobility-on-Demand Systems. CoRR (2020)
Salomón Wollenstein-Betech, Arian Houshmand, Mauro Salazar, Marco Pavone, Christos G. Cassandras, Ioannis Ch. Paschalidis
Congestion-aware Routing and Rebalancing of Autonomous Mobility-on-Demand Systems in Mixed Traffic. ITSC (2020)
Salomón Wollenstein-Betech, Chuangchuang Sun, Jing Zhang, Ioannis Ch. Paschalidis
Joint Estimation of OD Demands and Cost Functions in Transportation Networks from Data. CoRR (2019)
Taiyao Wang, Ioannis Ch. Paschalidis
Convergence of Parameter Estimates for Regularized Mixed Linear Regression Models. CoRR (2019)
Tingting Xu, Ioannis Ch. Paschalidis
Learning models for writing better doctor prescriptions. ECC (2019)
Taiyao Wang, Ioannis Ch. Paschalidis
Prescriptive Cluster-Dependent Support Vector Machines with an Application to Reducing Hospital Readmissions. CoRR (2019)
Henghui Zhu, Ioannis Ch. Paschalidis, Michael E. Hasselmo
A Hebbian learning algorithm for training a neural circuit to perform context-dependent associations of stimuli. ACC (2019)
Taiyao Wang, Ioannis Ch. Paschalidis
Convergence of Parameter Estimates for Regularized Mixed Linear Regression Models. CDC (2019)
Athanasios Tsiligkaridis, Ioannis Ch. Paschalidis, Ayse K. Coskun
Data Center Demand Response Pricing Using Inverse Optimization. e-Energy (2019)
Ruidi Chen, Ioannis Ch. Paschalidis
A Distributionally Robust Optimization Approach for Multivariate Linear Regression under the Wasserstein Metric. CDC (2019)
Ruidi Chen, Ioannis Ch. Paschalidis
Selecting Optimal Decisions via Distributionally Robust Nearest-Neighbor Regression. NeurIPS (2019)
Salomón Wollenstein-Betech, Chuangchuang Sun, Jing Zhang, Ioannis Ch. Paschalidis
Joint Estimation of OD Demands and Cost Functions in Transportation Networks from Data. CDC (2019)
Taiyao Wang, Ioannis Ch. Paschalidis
Prescriptive Cluster-Dependent Support Vector Machines with an Application to Reducing Hospital Readmissions. ECC (2019)
Ruidi Chen, Ioannis Ch. Paschalidis, Michael C. Caramanis, Panagiotis Andrianesis
Learning From Past Bids to Participate Strategically in Day-Ahead Electricity Markets. IEEE Trans. Smart Grid 10 (5) (2019)
Alex Olshevsky, Ioannis Ch. Paschalidis, Shi Pu
A Non-Asymptotic Analysis of Network Independence for Distributed Stochastic Gradient Descent. CoRR (2019)
Yigao Du, Jing Wu, Shaoyuan Li, Chengnian Long, Ioannis Ch. Paschalidis
Distributed MPC for Coordinated Energy Efficiency Utilization in Microgrid Systems. IEEE Trans. Smart Grid 10 (2) (2019)
Henghui Zhu, Tingting Xu, Ioannis Ch. Paschalidis
Learning Parameterized Prescription Policies and Disease Progression Dynamics using Markov Decision Processes. ACC (2019)
Alex Olshevsky, Ioannis Ch. Paschalidis, Shi Pu
Asymptotic Network Independence in Distributed Optimization for Machine Learning. CoRR (2019)
Manjesh Kumar Hanawal, Hao Liu, Henghui Zhu, Ioannis Ch. Paschalidis
Learning Policies for Markov Decision Processes From Data. IEEE Trans. Autom. Control. 64 (6) (2019)
Yijia Zhang, Ioannis Ch. Paschalidis, Ayse K. Coskun
Data Center Participation in Demand Response Programs with Quality-of-Service Guarantees. e-Energy (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ioannis Ch. Paschalidis