Hanna Wallach

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	Sve	Od 2020.
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i10-indeks	86	73

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Jennifer Wortman VaughanSenior Principal Researcher, Microsoft Research, New York CityPotvrđena adresa e-pošte na microsoft.com
Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandPotvrđena adresa e-pošte na umiacs.umd.edu
Solon BarocasPrincipal Researcher, Microsoft Research; Adjunct Associate Professor, Information Science, CornellPotvrđena adresa e-pošte na cornell.edu
David MimnoAssociate Professor, Cornell UniversityPotvrđena adresa e-pošte na cornell.edu
Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstPotvrđena adresa e-pošte na cs.umass.edu
Su Lin BlodgettMicrosoft Research MontréalPotvrđena adresa e-pošte na microsoft.com
Miroslav DudikMicrosoft ResearchPotvrđena adresa e-pošte na microsoft.com
Aaron ScheinAssistant Professor of Statistics & Data Science at the University of ChicagoPotvrđena adresa e-pošte na uchicago.edu
Briana VecchioneCornell UniversityPotvrđena adresa e-pošte na cornell.edu
Alexandra ChouldechovaResearcher @ MSR NYC FATEPotvrđena adresa e-pošte na microsoft.com
Jamie MorgensternUniversity of WashingtonPotvrđena adresa e-pošte na cs.washington.edu
Michael A. MadaioGoogle ResearchPotvrđena adresa e-pošte na google.com
David BleiProfessor of Statistics and Computer Science, Columbia UniversityPotvrđena adresa e-pošte na columbia.edu
Edmund M TalleyNational Institutes of HealthPotvrđena adresa e-pošte na nih.gov
Bruce A. DesmaraisProfessor, Department of Political Science, Penn State UniversityPotvrđena adresa e-pošte na psu.edu
Ryan CotterellETH ZürichPotvrđena adresa e-pošte na inf.ethz.ch
Sarah BirdMicrosoftPotvrđena adresa e-pošte na microsoft.com
Abigail Z. JacobsUniversity of MichiganPotvrđena adresa e-pošte na umich.edu
Alekh AgarwalGooglePotvrđena adresa e-pošte na google.com
Mingyuan ZhouAssociate Professor, University of Texas at AustinPotvrđena adresa e-pošte na mccombs.utexas.edu

Prati

Hanna Wallach

Partner Research Manager, Microsoft Research

Potvrđena adresa e-pošte na dirichlet.net - Početna stranica

Fairness Interpretability Computational Social Science Machine Learning Natural Language Processing


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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	2739	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	2673	2021
Topic modeling: beyond bag-of-words HM Wallach Proceedings of the 23rd international conference on Machine learning, 977-984, 2006	1719	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	1476*	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	1350	2020
A reductions approach to fair classification A Agarwal, A Beygelzimer, M Dudík, J Langford, H Wallach International conference on machine learning, 60-69, 2018	1339	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	1316	2009
Rethinking LDA: Why priors matter H Wallach, D Mimno, A McCallum Advances in neural information processing systems 22, 2009	1033	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	967	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	900	2021
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	634	2020
Conditional random fields: An introduction HM Wallach Technical reports (CIS) 22, 2-6, 2004	622	2004
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	612	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	533	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	490	2009
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	485	2020
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	478	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	468*	2019
Measurement and fairness AZ Jacobs, H Wallach Proceedings of the 2021 ACM conference on fairness, accountability, and …, 2021	462	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	334	2019

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