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Shay Moran
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Publications
- 2024
- [i93]Marek Eliás, Haim Kaplan, Yishay Mansour, Shay Moran:
Learning-Augmented Algorithms with Explicit Predictors. CoRR abs/2403.07413 (2024) - 2023
- [c60]Haim Kaplan, Yishay Mansour, Shay Moran, Kobbi Nissim, Uri Stemmer:
Black-Box Differential Privacy for Interactive ML. NeurIPS 2023 - [i89]Haim Kaplan, Yishay Mansour, Shay Moran, Kobbi Nissim, Uri Stemmer:
On Differentially Private Online Predictions. CoRR abs/2302.14099 (2023) - 2022
- [c58]Olivier Bousquet, Amit Daniely, Haim Kaplan, Yishay Mansour, Shay Moran, Uri Stemmer:
Monotone Learning. COLT 2022: 842-866 - [i76]Olivier Bousquet, Amit Daniely, Haim Kaplan, Yishay Mansour, Shay Moran, Uri Stemmer:
Monotone Learning. CoRR abs/2202.05246 (2022) - [i67]Olivier Bousquet, Haim Kaplan, Aryeh Kontorovich, Yishay Mansour, Shay Moran, Menachem Sadigurschi, Uri Stemmer:
Differentially-Private Bayes Consistency. CoRR abs/2212.04216 (2022) - 2019
- [c23]Alon Cohen, Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Shay Moran:
Learning to Screen. NeurIPS 2019: 8612-8621 - [i46]Alon Cohen, Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Shay Moran:
Learning and Generalization for Matching Problems. CoRR abs/1902.04741 (2019)
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last updated on 2024-04-25 05:52 CEST by the dblp team
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