Hanna Wallach
Hanna Wallach
Senior Principal Researcher, Microsoft Research
Verified email at dirichlet.net - Homepage
TitleCited byYear
Topic modeling: beyond bag-of-words
HM Wallach
Proceedings of the 23rd international conference on Machine learning, 977-984, 2006
10122006
Optimizing semantic coherence in topic models
D Mimno, HM Wallach, E Talley, M Leenders, A McCallum
Proceedings of the conference on empirical methods in natural language …, 2011
8462011
Evaluation methods for topic models
HM Wallach, I Murray, R Salakhutdinov, D Mimno
Proceedings of the 26th annual international conference on machine learning …, 2009
7062009
Rethinking LDA: Why priors matter
HM Wallach, DM Mimno, A McCallum
Advances in neural information processing systems, 1973-1981, 2009
6212009
Conditional random fields: An introduction
HM Wallach
Technical Reports (CIS), 22, 2004
4382004
Polylingual topic models
D Mimno, HM Wallach, J Naradowsky, DA Smith, A McCallum
Proceedings of the 2009 Conference on Empirical Methods in Natural Language …, 2009
3472009
Efficient training of conditional random fields
H Wallach
Master’s thesis, University of Edinburgh, 2002
2102002
Structured topic models for language
HM Wallach
University of Cambridge, 2008
1832008
A reductions approach to fair classification
A Agarwal, A Beygelzimer, M Dudík, J Langford, H Wallach
arXiv preprint arXiv:1803.02453, 2018
1292018
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
1232008
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
862011
Datasheets for datasets
T Gebru, J Morgenstern, B Vecchione, JW Vaughan, H Wallach, ...
arXiv preprint arXiv:1803.09010, 2018
852018
Learning the structure of deep sparse graphical models
R Adams, H Wallach, Z Ghahramani
Proceedings of the thirteenth international conference on artificial …, 2010
832010
Manipulating and measuring model interpretability
F Poursabzi-Sangdeh, DG Goldstein, JM Hofman, JW Vaughan, ...
arXiv preprint arXiv:1802.07810, 2018
672018
Gibbs sampling for logistic normal topic models with graph-based priors
D Mimno, H Wallach, A McCallum
NIPS Workshop on Analyzing Graphs 61, 2008
532008
An alternative prior process for nonparametric Bayesian clustering
H Wallach, S Jensen, L Dicker, K Heller
Proceedings of the Thirteenth International Conference on Artificial …, 2010
472010
The bayesian echo chamber: Modeling social influence via linguistic accommodation
F Guo, C Blundell, H Wallach, K Heller
Artificial Intelligence and Statistics, 315-323, 2015
392015
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
382015
Topic models for taxonomies
A Bakalov, A McCallum, H Wallach, D Mimno
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries …, 2012
312012
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
302019
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