Scholar
Tatjana Chavdarova
Google Scholar ID: 76HdZDQAAAAJ
Politecnico di Milano
Games
Optimization
Machine Learning
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Citations & Impact
All-time
Citations
855
H-index
11
i10-index
11
Publications
20
Co-authors
18
list available
Contact
Email
tatjana.chavdarova@polimi.it
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Publications
6 items
Frequency-Based Hyperparameter Selection in Games
2026
Cited
0
The Invisible Handshake: Tacit Collusion between Adaptive Market Agents
2025
Cited
0
Understanding Lookahead Dynamics Through Laplace Transform
2025
Cited
0
Decoupled SGDA for Games with Intermittent Strategy Communication
2025
Cited
0
Learning Variational Inequalities from Data: Fast Generalization Rates under Strong Monotonicity
arXiv.org · 2024
Cited
0
Addressing Rotational Learning Dynamics in Multi-Agent Reinforcement Learning
2024
Cited
1
Resume (English only)
Academic Achievements
Co-authored 'The Invisible Handshake: Tacit Collusion between Adaptive Market Agents' (ArXiv, 2025).
ACVI method accepted at ICLR 2024.
Recipient of Swiss National Science Foundation (SNSF) Early.Postdoc.Mobility (2021) and Postdoc.Mobility (2023) fellowships.
Co-organizing the DynaFront Workshop at NeurIPS 2025.
Presenting work on game-theoretic federated learning at ICML 2025 and co-organizing WiML events.
Teaching the PhD-level course 'Games in Machine Learning' at PoliMi (May 2025).
Background
Currently a Visiting Professor in the Department of Electronics, Information and Bioengineering (DEIB) at Politecnico di Milano (Polimi).
Researches and teaches in game theory, machine learning, variational inequalities, multi-agent systems, and optimization algorithms.
Collaborates with Nicola Gatti and Nicolò Cesa-Bianchi.
Works at the intersection of game theory and machine learning, developing AI systems that learn, strategize, and interact in multi-agent environments.
Research interests include learning in games, reinforcement learning, generative modeling & robustness, and algorithmic game theory.
Passionate about the broader societal and cognitive implications of games beyond AI.
Co-authors
18 total
François Fleuret
University of Geneva
Andrii Maksai
Google Deepmind
Co-author 3
Martin Jaggi
EPFL
cijo jose
FAIR at Meta
Michael I. Jordan
Professor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley
Sebastian Urban Stich
CISPA Helmholtz Center
Pascal Fua
Professor Computer Science, EPFL
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