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A Human-Centered Interpretability Framework Based on Weight of Evidence


Apr 27, 2021
David Alvarez-Melis, Harmanpreet Kaur, Hal Daumé III, Hanna Wallach, Jennifer Wortman Vaughan


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Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs


Mar 10, 2021
Solon Barocas, Anhong Guo, Ece Kamar, Jacquelyn Krones, Meredith Ringel Morris, Jennifer Wortman Vaughan, Duncan Wadsworth, Hanna Wallach


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Language (Technology) is Power: A Critical Survey of "Bias" in NLP


May 29, 2020
Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna Wallach


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On the Relationships Between the Grammatical Genders of Inanimate Nouns and Their Co-Occurring Adjectives and Verbs


May 03, 2020
Adina Williams, Ryan Cotterell, Lawrence Wolf-Sonkin, Damián Blasi, Hanna Wallach

* 17 pages, 6 figures, 4 tables, TACL(a) final submission 

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Measurement and Fairness


Dec 11, 2019
Abigail Z. Jacobs, Hanna Wallach


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Weight of Evidence as a Basis for Human-Oriented Explanations


Oct 29, 2019
David Alvarez-Melis, Hal Daumé III, Jennifer Wortman Vaughan, Hanna Wallach

* Human-Centric Machine Learning (HCML) Workshop @ NeurIPS 2019 

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Quantifying the Semantic Core of Gender Systems


Oct 29, 2019
Adina Williams, Ryan Cotterell, Lawrence Wolf-Sonkin, Damián Blasi, Hanna Wallach

* 6 pages, 2 figures, accepted to EMNLP 2019 

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Poisson-Randomized Gamma Dynamical Systems


Oct 28, 2019
Aaron Schein, Scott W. Linderman, Mingyuan Zhou, David M. Blei, Hanna Wallach

* To appear in the Proceedings of the 32nd Advances in Neural Information Processing Systems (NeurIPS 2019) 

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Toward Fairness in AI for People with Disabilities: A Research Roadmap


Aug 02, 2019
Anhong Guo, Ece Kamar, Jennifer Wortman Vaughan, Hanna Wallach, Meredith Ringel Morris

* ACM ASSETS 2019 Workshop on AI Fairness for People with Disabilities 

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Unsupervised Discovery of Gendered Language through Latent-Variable Modeling


Jun 11, 2019
Alexander Hoyle, Wolf-Sonkin, Hanna Wallach, Isabelle Augenstein, Ryan Cotterell

* To appear in ACL 2019 

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Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology


Jun 11, 2019
Ran Zmigrod, Sebastian J. Mielke, Hanna Wallach, Ryan Cotterell

* ACL 2019 

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What's in a Name? Reducing Bias in Bios without Access to Protected Attributes


Apr 10, 2019
Alexey Romanov, Maria De-Arteaga, Hanna Wallach, Jennifer Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Geyik, Krishnaram Kenthapadi, Anna Rumshisky, Adam Tauman Kalai

* Accepted at NAACL 2019; Best Thematic Paper 

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Combining Sentiment Lexica with a Multi-View Variational Autoencoder


Apr 05, 2019
Alexander Hoyle, Lawrence Wolf-Sonkin, Hanna Wallach, Ryan Cotterell, Isabelle Augenstein

* To appear in NAACL-HLT 2019 

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Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting


Jan 27, 2019
Maria De-Arteaga, Alexey Romanov, Hanna Wallach, Jennifer Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Geyik, Krishnaram Kenthapadi, Adam Tauman Kalai

* Accepted at ACM Conference on Fairness, Accountability, and Transparency (ACM FAT*), 2019 

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Improving fairness in machine learning systems: What do industry practitioners need?


Jan 07, 2019
Kenneth Holstein, Jennifer Wortman Vaughan, Hal Daumé III, Miro Dudík, Hanna Wallach

* To appear in the 2019 ACM CHI Conference on Human Factors in Computing Systems (CHI 2019) 

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Locally Private Bayesian Inference for Count Models


Nov 05, 2018
Aaron Schein, Zhiwei Steven Wu, Alexandra Schofield, Mingyuan Zhou, Hanna Wallach


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Manipulating and Measuring Model Interpretability


Sep 26, 2018
Forough Poursabzi-Sangdeh, Daniel G. Goldstein, Jake M. Hofman, Jennifer Wortman Vaughan, Hanna Wallach


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A Reductions Approach to Fair Classification


Jul 16, 2018
Alekh Agarwal, Alina Beygelzimer, Miroslav Dudík, John Langford, Hanna Wallach


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Datasheets for Datasets


Jul 09, 2018
Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumeé III, Kate Crawford

* Working Paper, comments are encouraged 

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Poisson--Gamma Dynamical Systems


Jan 19, 2017
Aaron Schein, Mingyuan Zhou, Hanna Wallach

* Appeared in the Proceedings of the 29th Advances in Neural Information Processing Systems (NIPS 2016) 

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Flexible Models for Microclustering with Application to Entity Resolution


Oct 31, 2016
Giacomo Zanella, Brenda Betancourt, Hanna Wallach, Jeffrey Miller, Abbas Zaidi, Rebecca C. Steorts

* 15 pages, 3 figures, 1 table, to appear NIPS 2016. arXiv admin note: text overlap with arXiv:1512.00792 

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The Social Dynamics of Language Change in Online Networks


Sep 07, 2016
Rahul Goel, Sandeep Soni, Naman Goyal, John Paparrizos, Hanna Wallach, Fernando Diaz, Jacob Eisenstein

* This paper appears in the Proceedings of the International Conference on Social Informatics (SocInfo16). The final publication is available at springer.com 

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Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations


Jun 06, 2016
Aaron Schein, Mingyuan Zhou, David M. Blei, Hanna Wallach

* To appear in Proceedings of the 33rd International Conference on Machine Learning (ICML 2016) 

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Microclustering: When the Cluster Sizes Grow Sublinearly with the Size of the Data Set


Dec 02, 2015
Jeffrey Miller, Brenda Betancourt, Abbas Zaidi, Hanna Wallach, Rebecca C. Steorts

* 8 pages, 3 figures, NIPS Bayesian Nonparametrics: The Next Generation Workshop Series 

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Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts


Jun 10, 2015
Aaron Schein, John Paisley, David M. Blei, Hanna Wallach

* To appear in Proceedings of the 21st ACM SIGKDD Conference of Knowledge Discovery and Data Mining (KDD 2015) 

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The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation


Jan 27, 2015
Fangjian Guo, Charles Blundell, Hanna Wallach, Katherine Heller

* 14 pages, 7 figures, to appear in AISTATS 2015. Fixed minor formatting issues 

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Inferring Multilateral Relations from Dynamic Pairwise Interactions


Nov 15, 2013
Aaron Schein, Juston Moore, Hanna Wallach

* NIPS 2013 Workshop on Frontiers of Network Analysis 

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