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About
About
I am a Postdoctoral Fellow at the Department of Computer Science at Cornell University. Prior to that, I worked with Yiling Chen and David Parkes as a Postdoctoral Fellow at the Harvard School of Engineering and Applied Sciences and at the School of Engineering and Computer Science of the Hebrew University of Jerusalem.
I received my PhD from the School of Computer Science and Engineering and the Federmann Center for the Study of Rationality at the Hebrew University of Jerusalem, where I was advised by Noam Nisan, as an Adams Fellow of the Israel Academy of Sciences and Humanities. I hold a B.Sc. in Computer Science and Cognitive Sciences, as well as an M.Sc. in Computer Science and the Center for the Study of Rationality, both from the Hebrew University of Jerusalem.
I am interested in topics at the intersection of computer science, economics and psychology. In particular, I am interested in designing algorithmic systems that work well with people. I use machine-learning techniques, game theory, econometrics, and experimental methods, together with insights about human decision-making behavior from behavioral economics and empirical data, in order to design hybrid human-AI frameworks with improved joint performance.
Contact
Contact
Office: 322 Gates Hall, Cornell University, Ithaca, NY, 14853.
Email: galinoti at cornell dot edu
Research
Research
Papers:
Papers:
AI-Assisted Decision Making with Human Learning (EC 2025)
Gali Noti, Kate Donahue, Jon Kleinberg, and Sigal Oren [link]Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces (ICLR 2024)
Omer Nahum, Gali Noti, David C. Parkes, and Nir Rosenfeld [link]Learning When to Advise Human Decision Makers (IJCAI 2023)
Gali Noti and Yiling Chen [full version on ArXiv] [dataset]
[talk at the ACM SIGecom Winter Meeting 2024]Bid Prediction in Repeated Auctions with Learning (WWW 2021)
Gali Noti and Vasilis Syrgkanis [link]From Behavioral Theories to Econometrics: Inferring Preferences of Human Agents from Data on Repeated Interactions (AAAI 2021)
Gali Noti [link]Neural Networks for Predicting Human Interactions in Repeated Games (IJCAI 2019)
Yoav Kolumbus and Gali Noti [link]Do Humans Play Equilibrium? Modeling Human Behavior in Computational Strategic Systems (XRDS 2017)
Gali Noti [link]A "Quantal Regret" Method for Structural Econometrics in Repeated Games (EC 2017)
Noam Nisan and Gali Noti [link] [Full Version on Arxiv]An Experimental Evaluation of Regret-Based Econometrics (WWW 2017)
Noam Nisan and Gali Noti [link]ERA: A Framework for Economic Resource Allocation for the Cloud (WWW 2017, invited by the industry track)
Moshe Babaioff, Yishay Mansour, Noam Nisan, Gali Noti, Carlo Curino, Nar Ganapathy, Ishai Menache, Omer Reingold, Moshe Tennenholtz, and Erez Timnat [link]An experimental evaluation of bidders' behavior in ad auctions (WWW 2014)
Gali Noti, Noam Nisan, and Ilan Yaniv [link]
Technical Reports:
Technical Reports:
Behavior-Based Machine-Learning: A Hybrid Approach for Predicting Human Decision Making
Gali Noti, Effi Levi, Yoav Kolumbus, Amit Daniely [link]
These are my two little kids -- Sol and Ella
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