Knowledge Graphs and Large Language Models
Quasi-stable Coloring for Graph Compression
Discovering graph-theoretic techniques to accelerate data science tasks.
Mining Robust Default Configurations for Resource-constrained AutoML
(2021-2022, at Microsoft Research)
Accelerating automatic selection of models and parameters using data dependent defaults.
Causal Relational Learning
Finding cause-and-effect in complex relational domains.
Dataset of academic peer-review, including rejected submissions.