Scholar

Gali Noti

Google Scholar ID: dr5wtMwAAAAJ

Cornell University

Human-AI CollaborationAlgorithmic Game Theory

Citations & Impact

All-time

Citations

177

H-index

i10-index

Publications

Co-authors

list available

Contact

Publications

1 items

2025

Cited

Resume (English only)

Academic Achievements

Papers:
- AI-Assisted Decision Making with Human Learning (EC 2025)
- Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces (ICLR 2024)
- Learning When to Advise Human Decision Makers (IJCAI 2023)
- Bid Prediction in Repeated Auctions with Learning (WWW 2021)
- From Behavioral Theories to Econometrics: Inferring Preferences of Human Agents from Data on Repeated Interactions (AAAI 2021)
- Neural Networks for Predicting Human Interactions in Repeated Games (IJCAI 2019)
- Do Humans Play Equilibrium? Modeling Human Behavior in Computational Strategic Systems (XRDS 2017)
- A 'Quantal Regret' Method for Structural Econometrics in Repeated Games (EC 2017)
- An Experimental Evaluation of Regret-Based Econometrics (WWW 2017)
- ERA: A Framework for Economic Resource Allocation for the Cloud (WWW 2017, invited by the industry track)
- An experimental evaluation of bidders' behavior in ad auctions (WWW 2014)
Technical Reports: Behavior-Based Machine-Learning: A Hybrid Approach for Predicting Human Decision Making

Research Experience

Current Postdoctoral Fellow at the Department of Computer Science at Cornell University; Former 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, working with Yiling Chen and David Parkes.

Education

PhD: School of Computer Science and Engineering and the Federmann Center for the Study of Rationality at the Hebrew University of Jerusalem, advised by Noam Nisan; MSc: Computer Science and the Center for the Study of Rationality, both from the Hebrew University of Jerusalem; BSc: Computer Science and Cognitive Sciences, from the Hebrew University of Jerusalem.

Background

Research interests: intersection of computer science, economics, and psychology, particularly in designing algorithmic systems that work well with people. Uses machine learning techniques, game theory, econometrics, and experimental methods, combined with insights from behavioral economics and empirical data, to design hybrid human-AI frameworks with improved joint performance.

Miscellany