Ioannis Ch. Paschalidis
4 papers · 2018–2026 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Bronze
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Academic Marathon Β· Sprint
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Interdisciplinary Bridge Β· Bronze
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Research topics
Artificial Intelligence
(2)
Machine Learning
(2)
Optimization & Theory
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Applications
(1)
Core AI
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types
(1)
Methods
(1)
Optimization
(1)
Resources & Methods
(1)
Keywords
deep reinforcement learning
(1)
reinforcement learning
(1)
sample efficiency
(1)
robust regression
(1)
policy optimization
(1)
domain adaptation
(1)
convex optimization
(1)
uncertainty quantification
(1)
question answering
(1)
distributed optimization
(1)
outlier detection
(1)
linear regression
(1)
distributionally robust optimization
(1)
wasserstein metric
(1)
strongly convex function
(1)
uncertainty estimation
(1)
trust region
(1)
asynchronous algorithm
(1)
policy update
(1)
trust region policy optimization
(1)
Papers
PandemIQ Llama: A Domain-Adapted Foundation Model for Enhanced Pandemic Intelligence
AAAI 2026
Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach
AAAI 2021
Robust Asynchronous Stochastic Gradient-Push: Asymptotically Optimal and Network-Independent Performance for Strongly Convex Functions
JMLR 2020
A Robust Learning Approach for Regression Models Based on Distributionally Robust Optimization
JMLR 2018