Melih Elibol

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 6

Top Topics

Variance Reduction

Machine Learning

Quasi Monte Carlo

Top Venues

Publications

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)
Melih Elibol, Vinamra Benara, Samyu Yagati, Lianmin Zheng, Alvin Cheung, Michael I. Jordan, Ion Stoica
NumS: Scalable Array Programming for the Cloud. CoRR (2022)
Melih Elibol, Lihua Lei, Michael I. Jordan
Variance Reduction with Sparse Gradients. CoRR (2020)
Melih Elibol, Lihua Lei, Michael I. Jordan
Variance Reduction With Sparse Gradients. ICLR (2020)
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)
Nicoló Fusi, Rishit Sheth, Melih Elibol
Probabilistic Matrix Factorization for Automated Machine Learning. NeurIPS (2018)