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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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Model-Agnostic Characterization of Fairness Trade-offs


Apr 08, 2020
Joon Sik Kim, Jiahao Chen, Ameet Talwalkar


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Efficient Topological Layer based on Persistent Landscapes


Feb 07, 2020
Kwangho Kim, Jisu Kim, Joon Sik Kim, Frederic Chazal, Larry Wasserman


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Diagnostic Curves for Black Box Models


Dec 02, 2019
David I. Inouye, Liu Leqi, Joon Sik Kim, Bryon Aragam, Pradeep Ravikumar

* Accepted to NeurIPS 2019 Workshop on Safety and Robustness in Decision Making 

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Representer Point Selection for Explaining Deep Neural Networks


Nov 23, 2018
Chih-Kuan Yeh, Joon Sik Kim, Ian E. H. Yen, Pradeep Ravikumar

* NIPS 2018 

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A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses


Sep 23, 2016
Matteo Ruggero Ronchi, Joon Sik Kim, Yisong Yue

* Long version of the paper accepted at the IEEE ICDM 2016 conference. 10 pages, 9 figures, 1 table. Project page: http://www.vision.caltech.edu/~mronchi/projects/RotationInvariantMovemes/ 

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