Blog

Learning Loss Functions for Predict-then-Optimize

A blog post about the predict-then-optimize paradigm for algorithmic decision-making, and how we can view it as inducing a task-specific loss function in supervised machine learning.

My Ride-pooling Journey

A blog post about the joyride my paper 'Neural Approximate Dynamic Programming for On-Demand Ride-Pooling' took me on.