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A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds


Oct 18, 2021
Yan Shuo Tan, Abhineet Agarwal, Bin Yu


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Towards Robust Waveform-Based Acoustic Models


Oct 16, 2021
Dino Oglic, Zoran Cvetkovic, Peter Sollich, Steve Renals, Bin Yu


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Interpreting and improving deep-learning models with reality checks


Aug 19, 2021
Chandan Singh, Wooseok Ha, Bin Yu


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Adaptive wavelet distillation from neural networks through interpretations


Jul 19, 2021
Wooseok Ha, Chandan Singh, Francois Lanusse, Eli Song, Song Dang, Kangmin He, Srigokul Upadhyayula, Bin Yu


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Enriched Annotations for Tumor Attribute Classification from Pathology Reports with Limited Labeled Data


Dec 15, 2020
Nick Altieri, Briton Park, Mara Olson, John DeNero, Anobel Odisho, Bin Yu


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Stable discovery of interpretable subgroups via calibration in causal studies


Sep 29, 2020
Raaz Dwivedi, Yan Shuo Tan, Briton Park, Mian Wei, Kevin Horgan, David Madigan, Bin Yu

* Raaz Dwivedi and Yan Shuo Tan are joint first authors and contributed equally to this work. 52 pages, 8 Figures, 9 Tables. To appear in International Statistical Review, 2020 

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Revisiting complexity and the bias-variance tradeoff


Jun 17, 2020
Raaz Dwivedi, Chandan Singh, Bin Yu, Martin J. Wainwright

* First two authors contributed equally. 28 pages, 11 Figures 

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Instability, Computational Efficiency and Statistical Accuracy


May 22, 2020
Nhat Ho, Koulik Khamaru, Raaz Dwivedi, Martin J. Wainwright, Michael I. Jordan, Bin Yu

* First three authors contributed equally (listed in random order). 57 pages, 4 Figures 

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Curating a COVID-19 data repository and forecasting county-level death counts in the United States


May 16, 2020
Nick Altieri, Rebecca L. Barter, James Duncan, Raaz Dwivedi, Karl Kumbier, Xiao Li, Robert Netzorg, Briton Park, Chandan Singh, Yan Shuo Tan, Tiffany Tang, Yu Wang, Bin Yu

* 25 pages, 8 Figures, Authors ordered alphabetically. All authors contributed significantly to this work. All collected data, modeling code, forecasts, and visualizations are updated daily and available at \url{https://github.com/Yu-Group/covid19-severity-prediction

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Transformation Importance with Applications to Cosmology


Mar 04, 2020
Chandan Singh, Wooseok Ha, Francois Lanusse, Vanessa Boehm, Jia Liu, Bin Yu

* Accepted to ICLR 2020 Workshop on Fundamental Science in the era of AI 

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Interpretations are useful: penalizing explanations to align neural networks with prior knowledge


Oct 01, 2019
Laura Rieger, Chandan Singh, W. James Murdoch, Bin Yu


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A Debiased MDI Feature Importance Measure for Random Forests


Jun 26, 2019
Xiao Li, Yu Wang, Sumanta Basu, Karl Kumbier, Bin Yu

* The first two authors contributed equally to this paper 

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CharBot: A Simple and Effective Method for Evading DGA Classifiers


May 30, 2019
Jonathan Peck, Claire Nie, Raaghavi Sivaguru, Charles Grumer, Femi Olumofin, Bin Yu, Anderson Nascimento, Martine De Cock


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Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients


May 29, 2019
Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright, Bin Yu

* 65 pages, 2 figures, 

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Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees


May 18, 2019
Summer Devlin, Chandan Singh, W. James Murdoch, Bin Yu

* Under review 

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Unique Sharp Local Minimum in $\ell_1$-minimization Complete Dictionary Learning


Feb 22, 2019
Yu Wang, Siqi Wu, Bin Yu


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Challenges with EM in application to weakly identifiable mixture models


Feb 01, 2019
Raaz Dwivedi, Nhat Ho, Koulik Khamaru, Martin J. Wainwright, Michael I. Jordan, Bin Yu

* 41 pages, 7 figures. The first three authors contributed equally to this work 

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Three principles of data science: predictability, computability, and stability (PCS)


Jan 23, 2019
Bin Yu, Karl Kumbier


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Interpretable machine learning: definitions, methods, and applications


Jan 14, 2019
W. James Murdoch, Chandan Singh, Karl Kumbier, Reza Abbasi-Asl, Bin Yu

* 11 pages 

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Mobile Robot Localisation and Navigation Using LEGO NXT and Ultrasonic Sensor


Oct 20, 2018
Yanan Liu, Rui Fan, Bin Yu, M. Junaid Bocus, Ming Liu, Hepeng Ni, Jiahe Fan, Shixin Mao

* 6 pages, 9 figures 

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Refining interaction search through signed iterative Random Forests


Oct 16, 2018
Karl Kumbier, Sumanta Basu, James B. Brown, Susan Celniker, Bin Yu


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Singularity, Misspecification, and the Convergence Rate of EM


Oct 01, 2018
Raaz Dwivedi, Nhat Ho, Koulik Khamaru, Michael I. Jordan, Martin J. Wainwright, Bin Yu

* 41 pages. The first three authors contributed equally to this work 

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High Speed Kernelized Correlation Filters without Boundary Effect


Jul 10, 2018
Ming Tang, Linyu Zheng, Bin Yu, Jinqiao Wang

* Revise the expression of alpha. 10+12 pages, 12 figures, 3 tables, Submitted to NIPS2018 

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Fast MCMC sampling algorithms on polytopes


Jul 08, 2018
Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright, Bin Yu

* 79 pages, 10 figures 

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Log-concave sampling: Metropolis-Hastings algorithms are fast!


Jul 08, 2018
Raaz Dwivedi, Yuansi Chen, Martin J. Wainwright, Bin Yu

* 37 pages, 10 Figures; Extended abstract presented at COLT 2018 

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High-speed Tracking with Multi-kernel Correlation Filters


Jun 17, 2018
Ming Tang, Bin Yu, Fan Zhang, Jinqiao Wang

* 10+3 pages, 12 figures, 1 table, accepted by CVPR2018. This version corrects some typos, and supplements a proof 

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