Hanna Wallach
Hanna Wallach
Partner Research Manager, Microsoft Research
Bestätigte E-Mail-Adresse bei dirichlet.net - Startseite
Titel
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
14752011
Topic modeling: beyond bag-of-words
HM Wallach
Proceedings of the 23rd international conference on Machine learning, 977-984, 2006
13502006
Evaluation methods for topic models
HM Wallach, I Murray, R Salakhutdinov, D Mimno
Proceedings of the 26th annual international conference on machine learning …, 2009
9592009
Rethinking LDA: Why priors matter
HM Wallach, DM Mimno, A McCallum
Advances in neural information processing systems, 1973-1981, 2009
8092009
Datasheets for datasets
T Gebru, J Morgenstern, B Vecchione, JW Vaughan, H Wallach, ...
arXiv preprint arXiv:1803.09010, 2018
5082018
Conditional random fields: An introduction
HM Wallach
Technical Reports (CIS), 22, 2004
5002004
A reductions approach to fair classification
A Agarwal, A Beygelzimer, M Dudík, J Langford, H Wallach
International Conference on Machine Learning, 60-69, 2018
4352018
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
4072009
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
2722019
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
2642021
Efficient training of conditional random fields
H Wallach
Master’s thesis, University of Edinburgh, 2002
2322002
Structured topic models for language
HM Wallach
University of Cambridge, 2008
2142008
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
2002020
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
1442008
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
1152019
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
1092019
Advances in neural information processing systems
Z Yang, Z Dai, Y Yang, J Carbonell, RR Salakhutdinov, QV Le, H Wallach, ...
NIPS 32, 5753-5763, 2019
1062019
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
1052020
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, ...
104*2019
Learning the structure of deep sparse graphical models
RP Adams, H Wallach, Z Ghahramani
Proceedings of the thirteenth international conference on artificial …, 2010
1012010
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