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Itai Shapira
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2020 – today
- 2024
- [c2]Kanad Pardeshi, Itai Shapira, Ariel D. Procaccia, Aarti Singh:
Learning Decision-Making Functions Given Cardinal and Ordinal Consensus Data. AAAI Spring Symposia 2024: 572 - [c1]Fabian Baumann
, Daniel Halpern
, Ariel D. Procaccia
, Iyad Rahwan
, Itai Shapira
, Manuel Wüthrich
:
Optimal Engagement-Diversity Tradeoffs in Social Media. WWW 2024: 288-299 - [i7]Luise Ge, Daniel Halpern, Evi Micha, Ariel D. Procaccia, Itai Shapira, Yevgeniy Vorobeychik, Junlin Wu:
Axioms for AI Alignment from Human Feedback. CoRR abs/2405.14758 (2024) - [i6]Yiling Chen, Tao Lin, Ariel D. Procaccia, Aaditya Ramdas, Itai Shapira:
Bias Detection Via Signaling. CoRR abs/2405.17694 (2024) - [i5]Kanad Shrikar Pardeshi, Itai Shapira, Ariel D. Procaccia, Aarti Singh:
Learning Social Welfare Functions. CoRR abs/2405.17700 (2024) - [i4]Depen Morwani, Itai Shapira, Nikhil Vyas, Eran Malach, Sham M. Kakade, Lucas Janson:
A New Perspective on Shampoo's Preconditioner. CoRR abs/2406.17748 (2024) - 2023
- [i3]Itai Shapira:
Expressivity of Shallow and Deep Neural Networks for Polynomial Approximation. CoRR abs/2303.03544 (2023) - [i2]Fabian Baumann, Daniel Halpern, Ariel D. Procaccia, Iyad Rahwan, Itai Shapira, Manuel Wuthrich:
Optimal Engagement-Diversity Tradeoffs in Social Media. CoRR abs/2303.03549 (2023) - [i1]Sara Fish, Paul Gölz, David C. Parkes, Ariel D. Procaccia, Gili Rusak, Itai Shapira, Manuel Wüthrich:
Generative Social Choice. CoRR abs/2309.01291 (2023)
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