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Andrew Jesson

Interventions, Where and How? Experimental Design for Causal Models at Scale

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Mar 03, 2022
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Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data

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Nov 03, 2021
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Using Non-Linear Causal Models to Study Aerosol-Cloud Interactions in the Southeast Pacific

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Nov 03, 2021
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GeneDisco: A Benchmark for Experimental Design in Drug Discovery

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Oct 22, 2021
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Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding

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Mar 08, 2021
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Improving Deterministic Uncertainty Estimation in Deep Learning for Classification and Regression

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Feb 22, 2021
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Identifying Causal Effect Inference Failure with Uncertainty-Aware Models

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Jul 01, 2020
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CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance

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Jul 27, 2018
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Adversarially Learned Mixture Model

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Jul 14, 2018
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On the Importance of Attention in Meta-Learning for Few-Shot Text Classification

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Jun 03, 2018
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