Tatjana Chavdarova
Scholar

Tatjana Chavdarova

Google Scholar ID: 76HdZDQAAAAJ
Politecnico di Milano
GamesOptimizationMachine Learning
Citations & Impact
All-time
Citations
855
 
H-index
11
 
i10-index
11
 
Publications
20
 
Co-authors
18
list available
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.