Moe Kayali

202020212022202320243 8 14 20 6

Public access

2 articles

0 articles

available

not available

Based on funding mandates

Dan SuciuUniversity of WashingtonVerified email at cs.washington.edu
Babak SalimiAssistant Professor, UCSDVerified email at ucsd.edu
Sudeepa RoyDuke University, Computer ScienceVerified email at cs.duke.edu
Lise GetoorDistinguished Professor of Computer Science & Engineering, University of California, Santa CruzVerified email at ucsc.edu
Harsh ParikhJohns Hopkins UniversityVerified email at jh.edu
Ilias Fountalisrelational.aiVerified email at gatech.edu
Dan OlteanuProfessor of Computer Science, University of ZurichVerified email at ifi.uzh.ch
Nikolaos Vasiloglou IIIsmion IncVerified email at ismion.com
Anton LykovUniversity of WashingtonVerified email at cs.washington.edu
Chi WangMicrosoft ResearchVerified email at microsoft.com

Moe Kayali

Verified email at cs.washington.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Causal relational learning B Salimi, H Parikh, M Kayali, L Getoor, S Roy, D Suciu Proceedings of the 2020 ACM SIGMOD international conference on management of …, 2020	39	2020
CHORUS: foundation models for unified data discovery and exploration M Kayali, A Lykov, I Fountalis, N Vasiloglou, D Olteanu, D Suciu arXiv preprint arXiv:2306.09610, 2023	7	2023
Mining Robust Default Configurations for Resource-constrained AutoML M Kayali, C Wang arXiv preprint arXiv:2202.09927, 2022	2	2022
Demonstration of inferring causality from relational databases with CaRL M Kayali, B Salimi, D Suciu Proceedings of the VLDB Endowment 13 (12), 2985-2988, 2020	2	2020
Quasi-stable Coloring for Graph Compression: Approximating Max-Flow, Linear Programs, and Centrality M Kayali, D Suciu Proceedings of the VLDB Endowment 16 (4), 803-815, 2022	1	2022

The system can't perform the operation now. Try again later.

Articles 1–5

Citations per year