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DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization


Sep 16, 2022
Kevin Bello, Bryon Aragam, Pradeep Ravikumar

* To appear at NeurIPS 2022 

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Concept Gradient: Concept-based Interpretation Without Linear Assumption


Aug 31, 2022
Andrew Bai, Chih-Kuan Yeh, Pradeep Ravikumar, Neil Y. C. Lin, Cho-Jui Hsieh


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Identifiability of deep generative models under mixture priors without auxiliary information


Jun 20, 2022
Bohdan Kivva, Goutham Rajendran, Pradeep Ravikumar, Bryon Aragam

* 31 pages, 9 figures 

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Building Robust Ensembles via Margin Boosting


Jun 07, 2022
Dinghuai Zhang, Hongyang Zhang, Aaron Courville, Yoshua Bengio, Pradeep Ravikumar, Arun Sai Suggala

* Accepted by ICML 2022 

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Faith-Shap: The Faithful Shapley Interaction Index


Mar 09, 2022
Che-Ping Tsai, Chih-Kuan Yeh, Pradeep Ravikumar


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Human-Centered Concept Explanations for Neural Networks


Feb 25, 2022
Chih-Kuan Yeh, Been Kim, Pradeep Ravikumar

* book chapter of Neuro-Symbolic Artificial Intelligence: The State of the Art, volume: 342, p.337 - 352, 2022 

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Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations


Feb 24, 2022
Chih-Kuan Yeh, Kuan-Yun Lee, Frederick Liu, Pradeep Ravikumar

* AISTATS 2022 

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First is Better Than Last for Training Data Influence


Feb 24, 2022
Chih-Kuan Yeh, Ankur Taly, Mukund Sundararajan, Frederick Liu, Pradeep Ravikumar


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Masked prediction tasks: a parameter identifiability view


Feb 18, 2022
Bingbin Liu, Daniel Hsu, Pradeep Ravikumar, Andrej Risteski


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Understanding Why Generalized Reweighting Does Not Improve Over ERM


Feb 16, 2022
Runtian Zhai, Chen Dan, Zico Kolter, Pradeep Ravikumar

* 41 pages 

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