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Valerie Chen
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Learning Personalized Decision Support Policies


Apr 13, 2023
Umang Bhatt, Valerie Chen, Katherine M. Collins, Parameswaran Kamalaruban, Emma Kallina, Adrian Weller, Ameet Talwalkar

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* Working paper 
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Assisting Human Decisions in Document Matching


Feb 16, 2023
Joon Sik Kim, Valerie Chen, Danish Pruthi, Nihar B. Shah, Ameet Talwalkar

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A Case Study on Designing Evaluations of ML Explanations with Simulated User Studies


Feb 15, 2023
Ada Martin, Valerie Chen, Sérgio Jesus, Pedro Saleiro

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* 9 pages, 2 figures 
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Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations


Jan 18, 2023
Valerie Chen, Q. Vera Liao, Jennifer Wortman Vaughan, Gagan Bansal

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On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods


Jun 30, 2022
Kasun Amarasinghe, Kit T. Rodolfa, Sérgio Jesus, Valerie Chen, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro, Ameet Talwalkar, Rayid Ghani

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Use-Case-Grounded Simulations for Explanation Evaluation


Jun 05, 2022
Valerie Chen, Nari Johnson, Nicholay Topin, Gregory Plumb, Ameet Talwalkar

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Perspectives on Incorporating Expert Feedback into Model Updates


May 13, 2022
Valerie Chen, Umang Bhatt, Hoda Heidari, Adrian Weller, Ameet Talwalkar

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Bayesian Persuasion for Algorithmic Recourse


Dec 12, 2021
Keegan Harris, Valerie Chen, Joon Sik Kim, Ameet Talwalkar, Hoda Heidari, Zhiwei Steven Wu

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Towards Connecting Use Cases and Methods in Interpretable Machine Learning


Mar 10, 2021
Valerie Chen, Jeffrey Li, Joon Sik Kim, Gregory Plumb, Ameet Talwalkar

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