Thomas Dietterich

uncertainty quantification in classification

calibration

prediction intervals

conformal prediction

reinforcement learning with exogenous state variables

robust ai

anomaly detection

out of distribution detection

machine learning for biological conservation

machine learning for ecosystem management

computational sustainability

data quality control for sensor networks

philosophical foundations of machine learning

machine learning for intelligent user interfaces

fine-grained object recognition in computer vision

hierarchical reinforcement learning

reinforcement learning applications

ensemble methods in machine learning

error-correcting output codes

multiple-instance learning