Moe Kayali

According to our database, Moe Kayali authored at least 5 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

CHORUS: Foundation Models for Unified Data Discovery and Exploration.

Moe Kayali, Anton Lykov, Ilias Fountalis, Nikolaos Vasiloglou, Dan Olteanu, Dan Suciu

CoRR, 2023

2022

Quasi-stable Coloring for Graph Compression: Approximating Max-Flow, Linear Programs, and Centrality.

Moe Kayali, Dan Suciu

Proc. VLDB Endow., 2022

Mining Robust Default Configurations for Resource-constrained AutoML.

Moe Kayali, Chi Wang

CoRR, 2022

2020

Demonstration of Inferring Causality from Relational Databases with CaRL.

Moe Kayali, Babak Salimi, Dan Suciu

Proc. VLDB Endow., 2020

Causal Relational Learning.

Babak Salimi, Harsh Parikh, Moe Kayali, Lise Getoor, Sudeepa Roy, Dan Suciu

Proceedings of the 2020 International Conference on Management of Data, 2020