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Leveraging Free Energy in Pretraining Model Selection for Improved Fine-Tuning

Temperature Optimization for Bayesian Deep Learning

The Local Learning Coefficient: A Singularity-Aware Complexity Measure

A prior version of this work was released on arXiv under a different title and focused more heavily on the mathematical underpinnings.

Pathwise Gradient Variance Reduction with Control Variates in Variational Inference

Interventional Fairness on Partially Known Causal Graphs -- A Constrained Optimization Approach

Counterfactual Fairness with Partially Known Causal Graph

A Shooting Formulation of Deep Learning

Selected for oral presentation

Controlling Blood Glucose Levels In Patients With Type 1 Diabetes Using Fitted Q-Iterations And Functional Features

Reinforcement-learning optimal control for type-1 diabetes