Hassidim, Avinatan

23 publications

AAAI 2025 Reducing Leximin Fairness to Utilitarian Optimization Eden Hartman, Yonatan Aumann, Avinatan Hassidim, Erel Segal-Halevi
NeurIPS 2024 Multi-Turn Reinforcement Learning with Preference Human Feedback Lior Shani, Aviv Rosenberg, Asaf Cassel, Oran Lang, Daniele Calandriello, Avital Zipori, Hila Noga, Orgad Keller, Bilal Piot, Idan Szpektor, Avinatan Hassidim, Yossi Matias, Rémi Munos
NeurIPS 2021 Adversarial Robustness of Streaming Algorithms Through Importance Sampling Vladimir Braverman, Avinatan Hassidim, Yossi Matias, Mariano Schain, Sandeep Silwal, Samson Zhou
ICMLW 2021 Adversarial Robustness of Streaming Algorithms Through Importance Sampling Vladimir Braverman, Avinatan Hassidim, Yossi Matias, Mariano Schain, Sandeep Silwal, Samson Zhou
ICCV 2021 Explaining in Style: Training a GAN to Explain a Classifier in StyleSpace Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri
AAAI 2021 Targeted Negative Campaigning: Complexity and Approximations Avishai Zagoury, Orgad Keller, Avinatan Hassidim, Noam Hazon
NeurIPS 2020 An Optimal Elimination Algorithm for Learning a Best Arm Avinatan Hassidim, Ron Kupfer, Yaron Singer
JAIR 2020 Fair Allocation with Diminishing Differences Erel Segal-Halevi, Avinatan Hassidim, Haris Aziz
JAIR 2019 Approximating Weighted and Priced Bribery in Scoring Rules Orgad Keller, Avinatan Hassidim, Noam Hazon
NeurIPS 2019 Learning to Screen Alon Cohen, Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Shay Moran
JAIR 2019 New Approximations for Coalitional Manipulation in Scoring Rules Orgad Keller, Avinatan Hassidim, Noam Hazon
AAAI 2018 Approximating Bribery in Scoring Rules Orgad Keller, Avinatan Hassidim, Noam Hazon
IJCAI 2018 Double Auctions in Markets for Multiple Kinds of Goods Erel Segal-Halevi, Avinatan Hassidim, Yonatan Aumann
AAAI 2018 MUDA: A Truthful Multi-Unit Double-Auction Mechanism Erel Segal-Halevi, Avinatan Hassidim, Yonatan Aumann
NeurIPS 2018 Optimization for Approximate Submodularity Yaron Singer, Avinatan Hassidim
IJCAI 2018 Planning and Learning with Stochastic Action Sets Craig Boutilier, Alon Cohen, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans
IJCAI 2017 Fair Allocation Based on Diminishing Differences Erel Segal-Halevi, Haris Aziz, Avinatan Hassidim
ICML 2017 Robust Guarantees of Stochastic Greedy Algorithms Avinatan Hassidim, Yaron Singer
COLT 2017 Submodular Optimization Under Noise Avinatan Hassidim, Yaron Singer
AAAI 2015 Envy-Free Cake-Cutting in Two Dimensions Erel Segal-Halevi, Avinatan Hassidim, Yonatan Aumann
IJCAI 2015 Implementing the Wisdom of Waze Shoshana Vasserman, Michal Feldman, Avinatan Hassidim
AAAI 2015 Strategy-Proof and Efficient Kidney Exchange Using a Credit Mechanism Chen Hajaj, John P. Dickerson, Avinatan Hassidim, Tuomas Sandholm, David Sarne
AAAI 2012 Negotiation in Exploration-Based Environment Israel Sofer, David Sarne, Avinatan Hassidim