Hanna Wallach

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David MimnoAssociate Professor, Cornell UniversityAdresse e-mail validée de cornell.edu
Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstAdresse e-mail validée de cs.umass.edu
Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandAdresse e-mail validée de umiacs.umd.edu
Jennifer Wortman VaughanSenior Principal Researcher, Microsoft Research, New York CityAdresse e-mail validée de microsoft.com
Solon BarocasPrincipal Researcher, Microsoft Research; Adjunct Assistant Professor, Information Science, CornellAdresse e-mail validée de cornell.edu
Aaron ScheinPostdoctoral Fellow in Data Science Institute at Columbia UniversityAdresse e-mail validée de columbia.edu
Miroslav DudikMicrosoft ResearchAdresse e-mail validée de microsoft.com
Briana VecchioneCornell UniversityAdresse e-mail validée de cornell.edu
David BleiProfessor of Statistics and Computer Science, Columbia UniversityAdresse e-mail validée de columbia.edu
Su Lin BlodgettMicrosoft Research MontréalAdresse e-mail validée de microsoft.com
Edmund M TalleyNational Institutes of HealthAdresse e-mail validée de nih.gov
Bruce A. DesmaraisProfessor, Department of Political Science, Penn State UniversityAdresse e-mail validée de psu.edu
Ryan CotterellETH ZürichAdresse e-mail validée de inf.ethz.ch
Mingyuan ZhouAssociate Professor, University of Texas at AustinAdresse e-mail validée de mccombs.utexas.edu
Jamie MorgensternUniversity of WashingtonAdresse e-mail validée de cs.washington.edu
Katherine HellerGoogle ResearchAdresse e-mail validée de gatsby.ucl.ac.uk
Michael A. MadaioMicrosoft ResearchAdresse e-mail validée de cs.cmu.edu
Iain MurraySchool of Informatics, University of Edinburgh and AmazonAdresse e-mail validée de ed.ac.uk
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUAdresse e-mail validée de cs.cmu.edu
David A. SmithAssociate Professor, College of Computer and Information Science, Northeastern UniversityAdresse e-mail validée de ccs.neu.edu

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Hanna Wallach

Partner Research Manager, Microsoft Research

Adresse e-mail validée de dirichlet.net - Page d'accueil

Fairness Interpretability Computational Social Science Machine Learning Natural Language Processing


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	1754	2011
Topic modeling: beyond bag-of-words HM Wallach Proceedings of the 23rd international conference on Machine learning, 977-984, 2006	1454	2006
Evaluation methods for topic models HM Wallach, I Murray, R Salakhutdinov, D Mimno Proceedings of the 26th annual international conference on machine learning …, 2009	1051	2009
Datasheets for datasets T Gebru, J Morgenstern, B Vecchione, JW Vaughan, H Wallach, HD Iii, ... Communications of the ACM 64 (12), 86-92, 2021	900	2021
Rethinking LDA: Why priors matter H Wallach, D Mimno, A McCallum Advances in neural information processing systems 22, 2009	853	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	640	2018
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	548*	2018
Conditional random fields: An introduction HM Wallach Technical Reports (CIS), 22, 2004	535	2004
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	428	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	427	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	416	2021
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	404	2020
Efficient training of conditional random fields H Wallach Master’s thesis, University of Edinburgh, 2002	230	2002
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	226	2020
Structured topic models for language HM Wallach University of Cambridge, 2008	218	2008
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	217	2019
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	215*	2019
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	201	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	170	2020
Generating summary keywords for emails using topics M Dredze, HM Wallach, D Puller, F Pereira Proceedings of the 13th international conference on Intelligent user …, 2008	146	2008

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