Hanna Wallach
Hanna Wallach
Senior Principal Researcher, Microsoft Research
確認したメール アドレス: dirichlet.net - ホームページ
タイトル
引用先
引用先
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
13592011
Topic modeling: beyond bag-of-words
HM Wallach
Proceedings of the 23rd international conference on Machine learning, 977-984, 2006
12872006
Evaluation methods for topic models
HM Wallach, I Murray, R Salakhutdinov, D Mimno
Proceedings of the 26th annual international conference on machine learning …, 2009
9082009
Rethinking LDA: Why priors matter
HM Wallach, DM Mimno, A McCallum
Advances in neural information processing systems, 1973-1981, 2009
7852009
Conditional random fields: An introduction
HM Wallach
Technical Reports (CIS), 22, 2004
4892004
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
4002009
A reductions approach to fair classification
A Agarwal, A Beygelzimer, M Dudík, J Langford, H Wallach
International Conference on Machine Learning, 60-69, 2018
3622018
Datasheets for datasets
T Gebru, J Morgenstern, B Vecchione, JW Vaughan, H Wallach, ...
arXiv preprint arXiv:1803.09010, 2018
3612018
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
2302021
Efficient training of conditional random fields
H Wallach
Master’s thesis, University of Edinburgh, 2002
2302002
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
2102019
Structured topic models for language
HM Wallach
University of Cambridge, 2008
2092008
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
1402008
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
113*2020
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
1012011
Learning the structure of deep sparse graphical models
R Adams, H Wallach, Z Ghahramani
Proceedings of the thirteenth international conference on artificial …, 2010
1002010
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
922019
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
82*2015
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
812019
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, ...
73*2019
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