Scholar
Alkis Kalavasis
Google Scholar ID: NgVIFJwAAAAJ
Yale University
Citations & Impact
Citations
306
H-index
10
i10-index
11
Publications
20
Co-authors
33
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Paper 'What Makes Treatment Effects Identifiable? Characterizations and Estimators Beyond Unconfoundedness' won Best Paper Award at COLT 2025; paper 'On diffusion models and distribution learning' received Short Best Paper Award at ICLR 2025 DeLTa workshop; organized the 'Reliable ML with Unreliable Data' workshop at NeurIPS 2025.
Research Experience
- FDS Postdoctoral Fellow at Yale University; previously a PhD student at NTUA, working on related research projects.
Education
- FDS Postdoctoral Fellow at Yale University; PhD in Computer Science from National Technical University of Athens (NTUA), supervised by Dimitris Fotakis and Christos Tzamos; undergraduate degree from the School of Electrical and Computer Engineering at NTUA.
Background
- Research interests include statistical and computational learning theory. Specifically, he focuses on learning from imperfect data, generative modeling, and the generalization and stability of algorithms.
Miscellany
- On the 2025/26 job market; contact email: alkis.kalavasis[at]yale.edu
