Christian Kroer

ASSISTANT PROFESSOR OF INDUSTRIAL ENGINEERING AND OPERATIONS RESEARCH

314 S.W. Mudd?
Mail Code 4721?

Email[email protected]

Research Interests

equilibrium computation, mechanism design, competitive equilibrium, first-order methods, saddle-point problems, extensive-form games, Stackelberg games, robust optimization, regret minimization, low-rank models

Research Areas

AlgorithmsArtificial IntelligenceComputational Engineering ScienceData ScienceDesign

Links

VISIT INDUSTRIAL ENGINEERING AND OPERATIONS RESEARCHWEBSITE

Christian Kroer’s research lies at the intersection of operations research, computer science, and economics. He focuses on sequential game solving, decision making, and market design. A recurring theme in his research is how to solve large-scale problems in practice, and thus he often combines scalable optimization algorithms with data-driven AI methods. His research has applications in areas such as Internet markets (e.g. ad auctions or recommender systems), fair allocation (e.g. of courses to students), security settings (e.g. wi-fi jamming or infrastructure protection), and recreational games (e.g. poker).
Christian Kroer received his Ph.D. in Computer Science from Carnegie Mellon University in 2018. Before coming to Columbia University he spent a year as a postdoc with the Core Data Science group at Facebook Research.

RESEARCH EXPERIENCE

PROFESSIONAL EXPERIENCE

PROFESSIONAL AFFILIATIONS

HONORS & AWARDS

RESEARCH EXPERIENCE

Assistant Professor of Industrial Engineering and Operations Research, Columbia University, 2019–
Postdoctoral fellow, Facebook Research, 2018-2019

PROFESSIONAL EXPERIENCE

Software Developer, Netmester A/s, 2010-2011

PROFESSIONAL AFFILIATIONS

INFORMS
ACM

HONORS & AWARDS

A complete updated list is available at http://www.columbia.edu/~ck2945/publications.html
Computing large market equilibria using abstractions.?Christian Kroer, Alexander Peysakhovich, Eric Sodomka, and Nicolas E Stier-Moses. ACM Conference on Economics and Computation (EC), 2019.
Pacing Equilibrium in First-Price Auction Markets. Vincent Conitzer, Christian Kroer, Debmalya Panigrahi, Okke Schrijvers, Eric Sodomka, Nicolas Stier-Moses, and Chris Wilkens. ACM Conference on Economics and Computation (EC), 2019.
Regret Circuits: Composability of Regret Minimizers. Gabriele Farina, Christian Kroer, and Tuomas Sandholm. International Conference on Machine Learning (ICML), 2019.
Faster algorithms for extensive-form game solving via improved smoothing functions. Christian Kroer, Kevin Waugh, Fatma K?l?n?-Karzan, and Tuomas Sandholm. Mathematical Programming Series A, 2018
Solving Large Sequential Games with the Excessive Gap Technique. Christian Kroer, Gabriele Farina, and Tuomas Sandholm. Neural Information Processing Systems (NIPS), 2018 spotlight presentation.
Imperfect-Recall Abstractions with Bounds in Games. Christian Kroer, Tuomas Sandholm. ACM conference on Economics and Computation (EC), 2016.