Vasilis Syrgkanis
Assistant Professor of Management Science and Engineering and, by courtesy, of Computer Science and Electrical Engineering
Academic Appointments
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Assistant Professor, Management Science and Engineering
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Assistant Professor (By courtesy), Computer Science
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Assistant Professor (By courtesy), Electrical Engineering
2023-24 Courses
- Applied Causal Inference with Machine Learning and AI
CS 288, MS&E 228 (Win) - Foundations of Causal Machine Learning
CS 328 (Aut) - Foundations of Causal Machine Learning
MS&E 328 (Aut) - Game Theory, Data Theory, Data Science and AI
MS&E 233 (Spr) -
Independent Studies (3)
- Directed Reading and Research
MS&E 408 (Aut, Win, Spr, Sum) - Directed Studies in Applied Physics
APPPHYS 290 (Aut) - Ph.D. Research Rotation
CME 391 (Aut)
- Directed Reading and Research
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Prior Year Courses
2022-23 Courses
- Applied Causal Inference with Machine Learning and AI
MS&E 228 (Win) - Foundations of Causal Machine Learning
CS 328 (Spr) - Foundations of Causal Machine Learning
MS&E 328 (Spr)
- Applied Causal Inference with Machine Learning and AI
Stanford Advisees
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Doctoral Dissertation Reader (AC)
Junting Duan, Isha Thapa -
Master's Program Advisor
David Castro Pena, Idil Defne Çekin -
Doctoral (Program)
Ravi Sojitra, Jiyuan Tan
All Publications
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The Price of Anarchy in Auctions
JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH
2017; 59: 59–101
View details for DOI 10.1613/jair.5272
View details for Web of Science ID 000411179900002
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The Price of Anarchy in Large Games
ASSOC COMPUTING MACHINERY. 2016: 963-976
View details for DOI 10.1145/2897518.2897580
View details for Web of Science ID 000455404200079