Peer Reviewed Publications
Quasi-stable Coloring for Graph Compression: Approximating Max-Flow, Linear Programs, and Centrality
Moe Kayali, Dan Suciu
Very Large Databases Conference (VLDB), Vancouver, 2023.
PDF, arXiv, code package
Mining Robust Default Configurations for Resource-constrained AutoML
Moe Kayali, Chi Wang
AutoML workshop at Knowledge Discovery and Data Mining conference (KDD), Washington DC, 2022
PDF, arXiv, slides
Demonstration of inferring causality from relational databases with CaRL
Moe Kayali, Babak Salimi, and Dan Suciu
Very Large Databases Conference (VLDB), Tokyo, 2022.
Causal relational learning
Babak Salimi, Harsh Parikh, Moe Kayali, Lise Getoor, Sudeepa Roy, and Dan Suciu
Special Interest Group on Management of Data Conference (SIGMOD), Portland, 2020.
PDF, arXiv, dataset