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06/14/2022
Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt
Training on web-scale data can take months. But most computation and tim...
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07/06/2021
Prioritized training on points that are learnable, worth learning, and not yet learned
We introduce Goldilocks Selection, a technique for faster model training...
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03/08/2021
Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
We study the problem of learning conditional average treatment effects (...
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07/27/2020
On the robustness of effectiveness estimation of nonpharmaceutical interventions against COVID-19 transmission
There remains much uncertainty about the relative effectiveness of diffe...
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07/01/2020
Identifying Causal Effect Inference Failure with Uncertainty-Aware Models
Recommending the best course of action for an individual is a major appl...
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09/09/2018
Active Inverse Reward Design
Reward design, the problem of selecting an appropriate reward function f...
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12/15/2017