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Hanna Wallach
Hanna Wallach
Partner Research Manager, Microsoft Research
Verified email at dirichlet.net - Homepage
Title
Cited by
Cited by
Year
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
17262011
Topic modeling: beyond bag-of-words
HM Wallach
Proceedings of the 23rd international conference on Machine learning, 977-984, 2006
14452006
Evaluation methods for topic models
HM Wallach, I Murray, R Salakhutdinov, D Mimno
Proceedings of the 26th annual international conference on machine learning …, 2009
10452009
Datasheets for datasets
T Gebru, J Morgenstern, B Vecchione, JW Vaughan, H Wallach, HD Iii, ...
Communications of the ACM 64 (12), 86-92, 2021
8512021
Rethinking LDA: Why priors matter
H Wallach, D Mimno, A McCallum
Advances in neural information processing systems 22, 2009
8402009
A reductions approach to fair classification
A Agarwal, A Beygelzimer, M Dudík, J Langford, H Wallach
International Conference on Machine Learning, 60-69, 2018
6152018
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
543*2018
Conditional random fields: An introduction
HM Wallach
Technical Reports (CIS), 22, 2004
5292004
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
4232009
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
4102019
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
4082021
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
3732020
Efficient training of conditional random fields
H Wallach
Master’s thesis, University of Edinburgh, 2002
2302002
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
2182020
Structured topic models for language
HM Wallach
University of Cambridge, 2008
2172008
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
204*2019
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
2012019
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
1882019
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
1632020
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
1472008
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