Program-Specific Senior Lecturer at Kyoto University
Machine Learning and Human Computation. Particularly,
Trustworthy machine learning
Calibration, fairness, privacy, etc.
Decision-focused learning
Weakly supervised learning
Methods for aggregating/learning from noisy crowdsourced labels
Models using feature interactions (e.g., Factorization Machines)
Sparse modeling