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Melih Elibol
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2020 – today
- 2023
- [c4]Rohan Yadav, Wonchan Lee, Melih Elibol, Manolis Papadakis, Taylor Lee-Patti, Michael Garland, Alex Aiken, Fredrik Kjolstad, Michael Bauer:
Legate Sparse: Distributed Sparse Computing in Python. SC 2023: 13:1-13:13 - 2022
- [i2]Melih Elibol, Vinamra Benara, Samyu Yagati, Lianmin Zheng, Alvin Cheung, Michael I. Jordan, Ion Stoica:
NumS: Scalable Array Programming for the Cloud. CoRR abs/2206.14276 (2022) - 2020
- [c3]Melih Elibol, Lihua Lei, Michael I. Jordan:
Variance Reduction With Sparse Gradients. ICLR 2020 - [i1]Melih Elibol, Lihua Lei, Michael I. Jordan:
Variance Reduction with Sparse Gradients. CoRR abs/2001.09623 (2020)
2010 – 2019
- 2018
- [c2]Nicoló Fusi, Rishit Sheth, Melih Elibol:
Probabilistic Matrix Factorization for Automated Machine Learning. NeurIPS 2018: 3352-3361 - [c1]Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, Melih Elibol, Zongheng Yang, William Paul, Michael I. Jordan, Ion Stoica:
Ray: A Distributed Framework for Emerging AI Applications. OSDI 2018: 561-577
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