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Amit Mandelbaum
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2020 – today
- 2023
- [c5]Dmitri Goldenberg, Chana Ross, Shir Meir Lador, Lin Lee Cheong, Panpan Xu, Elena Sokolova, Amit Mandelbaum, Irina Vasilinetc, Ankit Jain, Amit Weil Modlinger, Saloni Potdar:
The Second Workshop on Applied Machine Learning Management. KDD 2023: 5859-5860 - 2022
- [j1]Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor:
Reinforcement Learning for Datacenter Congestion Control. SIGMETRICS Perform. Evaluation Rev. 49(2): 43-46 (2022) - [c4]Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor:
Reinforcement Learning for Datacenter Congestion Control. AAAI 2022: 12615-12621 - [c3]Dmitri Goldenberg, Elena Sokolova, Shir Meir Lador, Amit Mandelbaum, Irina Vasilinetc, Ankit Jain:
Workshop on Applied Machine Learning Management. KDD 2022: 4874-4875 - 2021
- [c2]Amit Mandelbaum, Doron Haritan Kazakov, Natali Shechtman:
Continuously running genetic algorithm for real-time networking device optimization. GECCO 2021: 1000-1008 - [c1]Wojciech Wasko, Dotan David Levi, Teferet Geula, Amit Mandelbaum:
Artificial Accurate Time-stamp in Network Adapters. ISPA/BDCloud/SocialCom/SustainCom 2021: 1631-1638 - [i4]Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor:
Reinforcement Learning for Datacenter Congestion Control. CoRR abs/2102.09337 (2021)
2010 – 2019
- 2017
- [i3]Yehezkel S. Resheff, Amit Mandelbaum, Daphna Weinshall:
Every Untrue Label is Untrue in its Own Way: Controlling Error Type with the Log Bilinear Loss. CoRR abs/1704.06062 (2017) - [i2]Amit Mandelbaum, Daphna Weinshall:
Distance-based Confidence Score for Neural Network Classifiers. CoRR abs/1709.09844 (2017) - 2016
- [i1]Amit Mandelbaum, Adi Shalev:
Word Embeddings and Their Use In Sentence Classification Tasks. CoRR abs/1610.08229 (2016)
Coauthor Index
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