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08/21/2023
Optimal Dorfman Group Testing For Symmetric Distributions
We study Dorfman's classical group testing protocol in a novel setting w...
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12/07/2022
Unsupervised language models for disease variant prediction
There is considerable interest in predicting the pathogenicity of protei...
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02/15/2022
Probabilistic Modeling Using Tree Linear Cascades
We introduce tree linear cascades, a class of linear structural equation...
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06/24/2020
Learning Reward Functions from Diverse Sources of Human Feedback: Optimally Integrating Demonstrations and Preferences
Reward functions are a common way to specify the objective of a robot. A...
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10/10/2019
Asking Easy Questions: A User-Friendly Approach to Active Reward Learning
Robots can learn the right reward function by querying a human expert. E...
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07/11/2019
A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning
The aim of multi-task reinforcement learning is two-fold: (1) efficientl...
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06/21/2019
Learning Reward Functions by Integrating Human Demonstrations and Preferences
Our goal is to accurately and efficiently learn reward functions for aut...
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08/11/2018
