Paschalidis, Ioannis

13 publications

ICLR 2026 Post-Training Large Language Models for Diverse High-Quality Responses Yilei Chen, Souradip Chakraborty, Lorenz Wolf, Ioannis Paschalidis, Aldo Pacchiano

CHIL 2025 Distributionally Robust Learning in Survival Analysis Yeping Jin, Lauren Wise, Ioannis Paschalidis

AISTATS 2025 MDP Geometry, Normalization and Reward Balancing Solvers Arsenii Mustafin, Aleksei Pakharev, Alex Olshevsky, Ioannis Paschalidis

ICML 2025 Multiple-Policy Evaluation via Density Estimation Yilei Chen, Aldo Pacchiano, Ioannis Paschalidis

TMLR 2024 Adversarial Imitation Learning from Visual Observations Using Latent Information Vittorio Giammarino, James Queeney, Ioannis Paschalidis

TMLR 2024 Closing the Gap Between SVRG and TD-SVRG with Gradient Splitting Arsenii Mustafin, Alex Olshevsky, Ioannis Paschalidis

ICMLW 2024 Multiple-Policy Evaluation via Density Estimation Yilei Chen, Aldo Pacchiano, Ioannis Paschalidis

TMLR 2024 Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees James Queeney, Erhan Can Ozcan, Ioannis Paschalidis, Christos Cassandras

ICLR 2023 On the Performance of Temporal Difference Learning with Neural Networks Haoxing Tian, Ioannis Paschalidis, Alex Olshevsky

AISTATS 2022 Adversarial Tracking Control via Strongly Adaptive Online Learning with Memory Zhiyu Zhang, Ashok Cutkosky, Ioannis Paschalidis

ICML 2022 PDE-Based Optimal Strategy for Unconstrained Online Learning Zhiyu Zhang, Ashok Cutkosky, Ioannis Paschalidis

AISTATS 2021 Provable Hierarchical Imitation Learning via EM Zhiyu Zhang, Ioannis Paschalidis

NeurIPS 2019 Selecting Optimal Decisions via Distributionally Robust Nearest-Neighbor Regression Ruidi Chen, Ioannis Paschalidis