Hanna Wallach

Cited by

	All	Since 2016
Citations	7976	5257
h-index	31	30
i10-index	58	54

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2005200620072008200920102011201220132014201520162017201820192020202120 34 61 73 131 209 259 365 425 502 566 695 744 834 1242 1692 36

Co-authors

David MimnoAssociate Professor, Cornell UniversityVerified email at cornell.edu
Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
Aaron ScheinPostdoctoral Fellow in Data Science Institute at Columbia UniversityVerified email at columbia.edu
Jennifer Wortman VaughanSenior Principal Researcher, Microsoft Research, New York CityVerified email at microsoft.com
Solon BarocasPrincipal Researcher, Microsoft Research; Assistant Professor, Information Science, CornellVerified email at cornell.edu
Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandVerified email at umiacs.umd.edu
David BleiProfessor of Statistics and Computer Science, Columbia UniversityVerified email at columbia.edu
Edmund M TalleyNational Institutes of HealthVerified email at nih.gov
Miroslav DudikMicrosoft ResearchVerified email at microsoft.com
Mingyuan ZhouAssociate Professor, University of Texas at AustinVerified email at mccombs.utexas.edu
Bruce A. DesmaraisProfessor, Department of Political Science, Penn State UniversityVerified email at psu.edu
Briana VecchioneCornell UniversityVerified email at cornell.edu
David A. SmithAssociate Professor, College of Computer and Information Science, Northeastern UniversityVerified email at ccs.neu.edu
Katherine HellerDuke UniversityVerified email at gatsby.ucl.ac.uk
Iain MurraySchool of Informatics, University of EdinburghVerified email at ed.ac.uk
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
Mark DredzeJohns Hopkins UniversityVerified email at cs.jhu.edu
Ryan CotterellETH Zürich, University of CambridgeVerified email at inf.ethz.ch
Matthew J. DennyResearch Scientist @ FacebookVerified email at fb.com
Ryan P. AdamsPrinceton UniversityVerified email at princeton.edu

Hanna Wallach

Senior Principal Researcher, Microsoft Research

Verified email at dirichlet.net - Homepage

Fairness Interpretability Computational Social Science Machine Learning Natural Language Processing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Topic modeling: beyond bag-of-words HM Wallach Proceedings of the 23rd international conference on Machine learning, 977-984, 2006	1242	2006
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	1219	2011
Evaluation methods for topic models HM Wallach, I Murray, R Salakhutdinov, D Mimno Proceedings of the 26th annual international conference on machine learning …, 2009	858	2009
Rethinking LDA: Why priors matter H Wallach, D Mimno, A McCallum Advances in neural information processing systems 22, 1973-1981, 2009	754	2009
Conditional random fields: An introduction HM Wallach Technical Reports (CIS), 22, 2004	482	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	388	2009
A reductions approach to fair classification A Agarwal, A Beygelzimer, M Dudík, J Langford, H Wallach arXiv preprint arXiv:1803.02453, 2018	308	2018
Datasheets for datasets T Gebru, J Morgenstern, B Vecchione, JW Vaughan, H Wallach, ... arXiv preprint arXiv:1803.09010, 2018	249	2018
Efficient training of conditional random fields H Wallach Master’s thesis, University of Edinburgh, 2002	224	2002
Structured topic models for language HM Wallach University of Cambridge, 2008	203	2008
Manipulating and measuring model interpretability F Poursabzi-Sangdeh, DG Goldstein, JM Hofman, JW Vaughan, ... arXiv preprint arXiv:1802.07810, 2018	176	2018
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	143	2019
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	138	2008
Database of NIH grants using machine-learned categories and graphical clustering EM Talley, D Newman, D Mimno, BW Herr II, HM Wallach, GAPC Burns, ... Nature Methods 8 (6), 443, 2011	101	2011
Learning the structure of deep sparse graphical models R Adams, H Wallach, Z Ghahramani Proceedings of the thirteenth international conference on artificial …, 2010	99	2010
Bayesian Poisson tensor factorization for inferring multilateral relations from sparse dyadic event counts A Schein, J Paisley, DM Blei, H Wallach Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015	76*	2015
Gibbs sampling for logistic normal topic models with graph-based priors D Mimno, H Wallach, A McCallum NIPS Workshop on Analyzing Graphs 61, 2008	63	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	62	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	55	2019
An alternative prior process for nonparametric Bayesian clustering H Wallach, S Jensen, L Dicker, K Heller Proceedings of the Thirteenth International Conference on Artificial …, 2010	51	2010

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