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DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks

Oct 18, 2020
Dennis Wei, Tian Gao, Yue Yu

* 40 pages, 8 figures, to appear at the 34th Conference on Neural Information Processing Systems (NeurIPS 2020) 

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Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making

Oct 15, 2020
Charvi Rastogi, Yunfeng Zhang, Dennis Wei, Kush R. Varshney, Amit Dhurandhar, Richard Tomsett

* 15 pages, 5 figures 

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Consumer-Driven Explanations for Machine Learning Decisions: An Empirical Study of Robustness

Jan 13, 2020
Michael Hind, Dennis Wei, Yunfeng Zhang


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An Information-Theoretic Perspective on the Relationship Between Fairness and Accuracy

Oct 17, 2019
Sanghamitra Dutta, Dennis Wei, Hazar Yueksel, Pin-Yu Chen, Sijia Liu, Kush R. Varshney


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One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

Sep 14, 2019
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilović, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang


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Characterization of Overlap in Observational Studies

Jul 09, 2019
Fredrik D. Johansson, Dennis Wei, Michael Oberst, Tian Gao, Gabriel Brat, David Sontag, Kush R. Varshney


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Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning

Jun 05, 2019
Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilović

* presented at 2019 ICML Workshop on Human in the Loop Learning (HILL 2019), Long Beach, USA. arXiv admin note: substantial text overlap with arXiv:1805.11648 

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Generalized Linear Rule Models

Jun 05, 2019
Dennis Wei, Sanjeeb Dash, Tian Gao, Oktay Günlük

* Published in the Proceedings of the 36th International Conference on Machine Learning (ICML), PMLR 97:6687-6696, 2019. 17 pages, 7 figures 

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Optimized Score Transformation for Fair Classification

May 31, 2019
Dennis Wei, Karthikeyan Natesan Ramamurthy, Flavio du Pin Calmon

* 24 pages, 7 figures 

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Interpretable Subgroup Discovery in Treatment Effect Estimation with Application to Opioid Prescribing Guidelines

May 08, 2019
Chirag Nagpal, Dennis Wei, Bhanukiran Vinzamuri, Monica Shekhar, Sara E. Berger, Subhro Das, Kush R. Varshney


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TED: Teaching AI to Explain its Decisions

Nov 12, 2018
Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic

* This article leverages some content from arXiv:1805.11648 

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Teaching Meaningful Explanations

Sep 11, 2018
Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic

* 9 pages 

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Boolean Decision Rules via Column Generation

May 24, 2018
Sanjeeb Dash, Oktay Günlük, Dennis Wei


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On the Supermodularity of Active Graph-based Semi-supervised Learning with Stieltjes Matrix Regularization

Apr 09, 2018
Pin-Yu Chen, Dennis Wei

* Accepted to IEEE ICASSP 2018. Pin-Yu Chen and Dennis Wei contribute equally to this work 

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Distribution-Preserving k-Anonymity

Nov 05, 2017
Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney

* Portions of this work were first presented at the 2015 SIAM International Conference on Data Mining 

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Optimized Data Pre-Processing for Discrimination Prevention

Apr 11, 2017
Flavio P. Calmon, Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney


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Interpretable Two-level Boolean Rule Learning for Classification

Jun 18, 2016
Guolong Su, Dennis Wei, Kush R. Varshney, Dmitry M. Malioutov

* presented at 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016), New York, NY 

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A Constant-Factor Bi-Criteria Approximation Guarantee for $k$-means++

May 16, 2016
Dennis Wei

* 17 pages, 1 figure 

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Coercive Region-level Registration for Multi-modal Images

Nov 18, 2015
Yu-Hui Chen, Dennis Wei, Gregory Newstadt, Jeffrey Simmons, Alfred Hero

* This work has been accepted to International Conference on Image Processing (ICIP) 2015 

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Statistical Estimation and Clustering of Group-invariant Orientation Parameters

May 22, 2015
Yu-Hui Chen, Dennis Wei, Gregory Newstadt, Marc DeGraef, Jeffrey Simmons, Alfred Hero

* arXiv admin note: text overlap with arXiv:1411.2540 

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A Dictionary Approach to EBSD Indexing

Feb 27, 2015
Yu-Hui Chen, Se Un Park, Dennis Wei, Gregory Newstadt, Michael Jackson, Jeff P. Simmons, Marc De Graef, Alfred O. Hero

* This paper is in press in the Journal of Microscopy and Microanalysis, Cambridge University Press, Feb. 2015 

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Parameter estimation in spherical symmetry groups

Dec 21, 2014
Yu-Hui Chen, Dennis Wei, Gregory Newstadt, Marc DeGraef, Jeffrey Simmons, Alfred Hero

* 4 pages, 1 page with only references and 1 page for appendices. Accepted to be published in Signal Processing Letters 

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Marginal Likelihoods for Distributed Parameter Estimation of Gaussian Graphical Models

Aug 13, 2014
Zhaoshi Meng, Dennis Wei, Ami Wiesel, Alfred O. Hero III


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Spectral Correlation Hub Screening of Multivariate Time Series

Apr 09, 2014
Hamed Firouzi, Dennis Wei, Alfred O. Hero III

* 32 pages, To appear in Excursions in Harmonic Analysis: The February Fourier Talks at the Norbert Wiener Center 

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