Probabilistic Matrix Factorization for Automated Machine Learning. - Nicoló Fusi; Rishit Sheth; Melih Elibol (NeurIPS, 2018)

Ray: A Distributed Framework for Emerging AI Applications. - Philipp Moritz; Robert Nishihara; Stephanie Wang; Alexey Tumanov; Richard Liaw; Eric Liang; Melih Elibol; Zongheng Yang; William Paul; Michael I. Jordan; Ion Stoica (OSDI, 2018)

Variance Reduction With Sparse Gradients. - Melih Elibol; Lihua Lei; Michael I. Jordan (ICLR, 2020)

NumS: Scalable Array Programming for the Cloud. - Melih Elibol; Vinamra Benara; Samyu Yagati; Lianmin Zheng; Alvin Cheung; Michael I. Jordan; Ion Stoica (CoRR, 2022)

Legate Sparse: Distributed Sparse Computing in Python. - Rohan Yadav; Wonchan Lee; Melih Elibol; Manolis Papadakis; Taylor Lee-Patti; Michael Garland; Alex Aiken; Fredrik Kjolstad; Michael Bauer 001 (SC, 2023)