About

Yorgos is a PhD student at the Department of Computer Science, supervised by Prof. Theodoros Damoulas . He is also a member of the Warwick Machine Learning Group, and the organiser of the reading group on Advanced topics in Machine Learning, including causality, robustness, and statistical machine learning.

For the 2024/25 academic year, Yorgos will be based at the Alan Turing Institute (ATI) in London, having recently been awarded the Placement Award through the ATI’s Enrichment Scheme.

Research Interests

His research interests lie in the intersection of Probabilistic Machine Learning and Causality. Specifically, his focus is on Causal Representation Learning, Causal Abstractions and the theoretical foundations of causally-inspired Digital Twins and how the later ones could be applied in the fields of social sciences and decision making theory.

For more information visit his personal website: https://yfelekis.github.io

Publications

For a complete and up-to-date list of his publications please visit his Google Scholar profile.

• Causal Optimal Transport of Abstractions, Felekis Y., Zennaro F.M., Branchini N., Damoulas T., Causal Learning and Reasoning (CLeaR) 2024.

• Causally Abstracted Multi-armed Bandits, Zennaro F.M., Bishop N., Dyer J.,Felekis Y., Calinescu A., Wooldridge M., Damoulas T., Uncertainty in Artificial Intelligence (UAI), 2024

• Interventionally Consistent Surrogates for Agent-based Simulators, Dyer J., Bishop N.,Felekis Y., Zennaro F.M., Calinescu A., Damoulas T., Wooldridge M., Neural Information Processing Systems (NeurIPS) 2024.

• Probabilistic Deep Learning with Generalised Variational Inference, Felekis Y.,, Damoulas T., Paige B., 4th Symposium on Advances in Approximate Bayesian Inference (AABI) 2022.

• λ - Constant Function Markets: Generalizing and Mixing Automated Market Makers, Felekis Y., Kristensen J., IEEE Blockchain 2022.

• Cryptocurrency Price Prediction with Multi-Task Multi-Step Sequence-To-Sequence Modeling, Kristensen J., Madrigal-Cianci JP.,Felekis Y., Maria Liatsikou M., IEEE Blockchain 2022.

• Deep Learning for Agricultural Land Detection in Insular Areas, Charou E.,Felekis Y., Bournou D., 10th International Conference on Information, Intelligence, Systems and Applications (IISA) 2019.

• ex-GPT: An Extractive-Abstractive Summarization Framework with a Sentence Embeddings Twist, Minto L., Kmec J.,Felekis Y., Filippi G., preprint 2020.