Daniel Molitor
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All (3)
AWS (1)
Adaptive Experiments (1)
Bandits (2)
Conformal Prediction (1)
Docker (1)
Shiny (1)

Robust Adaptive Experiments

Bandits
Adaptive Experiments
Exploring the MAD design (Liang and Bojinov, 2024) and extending it to balance anytime-valid inference, reward maximization, and statistical power in adaptive experiments.
Feb 11, 2025

Conformal Prediction Beyond Exchangeability

Conformal Prediction
Replicating empirical examples from Conformal Prediction Beyond Exchangeability by Barber, et al.
Jul 25, 2024

Building and Deploying Adaptive Experiments with Shiny

AWS
Bandits
Docker
Shiny
A case study on how Shiny + Docker + AWS can help researchers build and deploy adaptive experiments and custom surveys.
Jul 17, 2024
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