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David Jensen

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Improving the Efficiency of the PC Algorithm by Using Model-Based Conditional Independence Tests

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Nov 12, 2022
Erica Cai, Andrew McGregor, David Jensen

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Measuring Interventional Robustness in Reinforcement Learning

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Sep 19, 2022
Katherine Avery, Jack Kenney, Pracheta Amaranath, Erica Cai, David Jensen

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Brittle AI, Causal Confusion, and Bad Mental Models: Challenges and Successes in the XAI Program

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Jun 10, 2021
Jeff Druce, James Niehaus, Vanessa Moody, David Jensen, Michael L. Littman

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A Simulation-Based Test of Identifiability for Bayesian Causal Inference

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Feb 23, 2021
Sam Witty, David Jensen, Vikash Mansinghka

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Preserving Privacy in Personalized Models for Distributed Mobile Services

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Jan 14, 2021
Akanksha Atrey, Prashant Shenoy, David Jensen

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Using Experimental Data to Evaluate Methods for Observational Causal Inference

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Oct 06, 2020
Amanda Gentzel, Justin Clarke, David Jensen

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Causal Inference using Gaussian Processes with Structured Latent Confounders

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Jul 14, 2020
Sam Witty, Kenta Takatsu, David Jensen, Vikash Mansinghka

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Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates

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May 01, 2020
Katherine A. Keith, David Jensen, Brendan O'Connor

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Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep RL

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Dec 09, 2019
Akanksha Atrey, Kaleigh Clary, David Jensen

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The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data

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Nov 01, 2019
Amanda Gentzel, Dan Garant, David Jensen

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