Kiriaki (Korinna) Fragkia

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Office: 9011 GHC

korinna [at] cmu [dot] edu

I am a second-year Ph.D. student in the Computer Science department at Carnegie Mellon University, where I am fortunate to be advised by Nina Balcan. My research is supported in part by the Cooperative AI PhD Fellowship.

My research interests lie broadly in the intersection of AI and theoretical computer science. Specifically, I draw on tools from learning theory, algorithmic game theory, economics, and optimization to understand how incentives affect learning, interaction, and decision-making in multi-agent, strategic environments.

Previously, I graduated from UC Berkeley, where I majored in Electrical Engineering & Computer Science. I am thankful to a number of mentors I met during my undergrad, including Ellen Vitercik, Nika Haghtalab, and Vasilis Syrgkanis.

news

May 19, 2026 Our papers, “The Complexity of Equilibrium Refinements in Potential Games” and “The Complexity of Proper Equilibrium in Extensive-Form and Polytope Games”, were accepted to EC’26.
Apr 30, 2026 Our paper, “Learning in Structured Stackelberg Games”, was accepted as a Spotlight Presentation to ICML’26.
Feb 06, 2026 Grateful to be awarded the Cooperative AI PhD Fellowship.
Oct 15, 2025 I will be attending ACORN’25.
Sep 22, 2025 I will be in Heidelberg, Germany for the 12th Heidelberg Laureate Forum.