Hanna Wallach

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Jennifer Wortman VaughanSenior Principal Researcher, Microsoft Research, New York CityDirección de correo verificada de microsoft.com
Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandDirección de correo verificada de umiacs.umd.edu
David MimnoAssociate Professor, Cornell UniversityDirección de correo verificada de cornell.edu
Solon BarocasPrincipal Researcher, Microsoft Research; Adjunct Associate Professor, Information Science, CornellDirección de correo verificada de cornell.edu
Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstDirección de correo verificada de cs.umass.edu
Su Lin BlodgettMicrosoft Research MontréalDirección de correo verificada de microsoft.com
Miroslav DudikMicrosoft ResearchDirección de correo verificada de microsoft.com
Aaron ScheinAssistant Professor of Statistics & Data Science at the University of ChicagoDirección de correo verificada de uchicago.edu
Briana VecchioneCornell UniversityDirección de correo verificada de cornell.edu
Jamie MorgensternUniversity of WashingtonDirección de correo verificada de cs.washington.edu
Michael A. MadaioGoogle ResearchDirección de correo verificada de google.com
David BleiProfessor of Statistics and Computer Science, Columbia UniversityDirección de correo verificada de columbia.edu
Edmund M TalleyNational Institutes of HealthDirección de correo verificada de nih.gov
Bruce A. DesmaraisProfessor, Department of Political Science, Penn State UniversityDirección de correo verificada de psu.edu
Ryan CotterellETH ZürichDirección de correo verificada de inf.ethz.ch
Sarah BirdMicrosoftDirección de correo verificada de microsoft.com
Alekh AgarwalGoogleDirección de correo verificada de google.com
Mingyuan ZhouAssociate Professor, University of Texas at AustinDirección de correo verificada de mccombs.utexas.edu
Ming YinPurdue UniversityDirección de correo verificada de purdue.edu
Kenneth HolsteinCarnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu

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Hanna Wallach

Partner Research Manager, Microsoft Research

Dirección de correo verificada de dirichlet.net - Página principal

Fairness Interpretability Computational Social Science Machine Learning Natural Language Processing


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Optimizing semantic coherence in topic models D Mimno, H Wallach, E Talley, M Leenders, A McCallum Proceedings of the 2011 conference on empirical methods in natural language …, 2011	2604	2011
Datasheets for datasets T Gebru, J Morgenstern, B Vecchione, JW Vaughan, H Wallach, HD Iii, ... Communications of the ACM 64 (12), 86-92, 2021	2394	2021
Topic modeling: beyond bag-of-words HM Wallach Proceedings of the 23rd international conference on Machine learning, 977-984, 2006	1698	2006
Advances in neural information processing systems 31 S Bengio, HM Wallach, H Larochelle, K Grauman, N Cesa‐Bianchi, ... Annual conference on neural information processing systems 2018, NeurIPS …, 2018	1415*	2018
Evaluation methods for topic models HM Wallach, I Murray, R Salakhutdinov, D Mimno Proceedings of the 26th annual international conference on machine learning …, 2009	1274	2009
A reductions approach to fair classification A Agarwal, A Beygelzimer, M Dudík, J Langford, H Wallach International conference on machine learning, 60-69, 2018	1220	2018
Language (Technology) is Power: A Critical Survey of "Bias" in NLP SL Blodgett, S Barocas, H Daumé III, H Wallach arXiv preprint arXiv:2005.14050, 2020	1167	2020
Rethinking LDA: Why priors matter H Wallach, D Mimno, A McCallum Advances in neural information processing systems 22, 2009	1012	2009
Improving fairness in machine learning systems: What do industry practitioners need? K Holstein, J Wortman Vaughan, H Daumé III, M Dudik, H Wallach Proceedings of the 2019 CHI conference on human factors in computing systems …, 2019	854	2019
Manipulating and measuring model interpretability F Poursabzi-Sangdeh, DG Goldstein, JM Hofman, JW Wortman Vaughan, ... Proceedings of the 2021 CHI conference on human factors in computing systems …, 2021	825	2021
Conditional random fields: An introduction HM Wallach Technical reports (CIS) 22, 2-6, 2004	612	2004
Interpreting interpretability: understanding data scientists' use of interpretability tools for machine learning H Kaur, H Nori, S Jenkins, R Caruana, H Wallach, J Wortman Vaughan Proceedings of the 2020 CHI conference on human factors in computing systems …, 2020	563	2020
Understanding the effect of accuracy on trust in machine learning models M Yin, J Wortman Vaughan, H Wallach Proceedings of the 2019 chi conference on human factors in computing systems …, 2019	547	2019
Polylingual topic models D Mimno, H Wallach, J Naradowsky, DA Smith, A McCallum Proceedings of the 2009 conference on empirical methods in natural language …, 2009	483	2009
Bias in bios: A case study of semantic representation bias in a high-stakes setting M De-Arteaga, A Romanov, H Wallach, J Chayes, C Borgs, ... proceedings of the Conference on Fairness, Accountability, and Transparency …, 2019	464	2019
Co-designing checklists to understand organizational challenges and opportunities around fairness in AI MA Madaio, L Stark, J Wortman Vaughan, H Wallach Proceedings of the 2020 CHI conference on human factors in computing systems …, 2020	441	2020
Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada, 2019 HM Wallach, H Larochelle, A Beygelzimer, F d’Alché-Buc, EB Fox, ... URL http://papers. nips. cc/book/advances-in-neural-information-processing …, 2019	433*	2019
Fairlearn: A toolkit for assessing and improving fairness in AI S Bird, M Dudík, R Edgar, B Horn, R Lutz, V Milan, M Sameki, H Wallach, ... Microsoft, Tech. Rep. MSR-TR-2020-32, 2020	412	2020
Measurement and fairness AZ Jacobs, H Wallach Proceedings of the 2021 ACM conference on fairness, accountability, and …, 2021	408	2021
Counterfactual data augmentation for mitigating gender stereotypes in languages with rich morphology R Zmigrod, SJ Mielke, H Wallach, R Cotterell arXiv preprint arXiv:1906.04571, 2019	299	2019

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