I’m Itai

I'm a CS graduate student at Harvard University, supported by the Nicole A. Chen and Karina A. Chen Graduate Student Research Fellowship. I am privileged to be advised by Prof. Ariel D. Procaccia.

Research

A New Perspective on Shampoo’s Hessian Approximation

Co-authors: Depen Morwani, Nikhil Vyas, Eran Malach, Sham M. Kakade, Lucas Janson, 2024 Working paper, under review for NeurIPS 2024

Axioms for AI Alignment from Human Feedback

Co-authors: Luise Ge, Daniel Halpern, Evi Micha, Ariel D. Procaccia, Yevgeniy Vorobeychik, Junlin Wu, 2024 [Arxiv] Working paper, under review for NeurIPS 2024

Bias Detection Via Signaling

Co-authors: Yiling Chen, Tao Lin, Ariel D. Procaccia, Aaditya Ramdas, 2024 [Arxiv] Working paper, under review for NeurIPS 2024

Learning Social Welfare Functions

Co-authors: Kanad Shrikar Pardeshi, Ariel D. Procaccia, Aarti Singh, 2024 [Arxiv] Working paper, under review for NeurIPS 2024

Generative Social Choice

Co-authors: Sara Fish, Paul Gölz, David C. Parkes, Ariel D. Procaccia, Gili Rusak, Manuel Wüthrich, 2023 [Arxiv] [OpenAI Blog]

Published in EC 2024

Optimal Engagement-Diversity Tradeoffs in Social Media

Co-authors: Fabian Baumann, Daniel Halpern, Ariel D. Procaccia, Iyad Rahwan, Manuel Wuthrich, 2023 [ACM] [Arxiv]

25th ACM Conference on Economics and Computation

Expressivity of Shallow and Deep Neural Networks for Polynomial Approximation

2023 [Arxiv]

Market Power and Dropping Strategies: A New Approach to Stable Matching Mechanisms

2023 [PDF]