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Hanna Wallach
Hanna Wallach
Partner Research Manager, Microsoft Research
Bestätigte E-Mail-Adresse bei dirichlet.net - Startseite
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Zitiert von
Zitiert von
Jahr
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
27352011
Datasheets for datasets
T Gebru, J Morgenstern, B Vecchione, JW Vaughan, H Wallach, HD Iii, ...
Communications of the ACM 64 (12), 86-92, 2021
26632021
Topic modeling: beyond bag-of-words
HM Wallach
Proceedings of the 23rd international conference on Machine learning, 977-984, 2006
17202006
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
1474*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
13422020
A reductions approach to fair classification
A Agarwal, A Beygelzimer, M Dudík, J Langford, H Wallach
International conference on machine learning, 60-69, 2018
13372018
Evaluation methods for topic models
HM Wallach, I Murray, R Salakhutdinov, D Mimno
Proceedings of the 26th annual international conference on machine learning …, 2009
13122009
Rethinking LDA: Why priors matter
H Wallach, D Mimno, A McCallum
Advances in neural information processing systems 22, 2009
10302009
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
9652019
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
8972021
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
6322020
Conditional random fields: An introduction
HM Wallach
Technical reports (CIS) 22, 2-6, 2004
6222004
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
6102019
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
5322019
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
4892009
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
4852020
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
4782020
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
465*2019
Measurement and fairness
AZ Jacobs, H Wallach
Proceedings of the 2021 ACM conference on fairness, accountability, and …, 2021
4602021
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
3312019
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