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Semantic ScholarHanna M. Wallach
Person information
- affiliation: Microsoft Research, New York, NY, USA
- affiliation: University of Massachusetts Amherst, USA
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2010 – today
- 2018
[j2]Hanna M. Wallach:
Computational social science ≠ computer science + social data. Commun. ACM 61(3): 42-44 (2018)- [c24]Alekh Agarwal, Alina Beygelzimer, Miroslav Dudík, John Langford, Hanna M. Wallach:
A Reductions Approach to Fair Classification. ICML 2018: 60-69 - [i11]Forough Poursabzi-Sangdeh, Daniel G. Goldstein, Jake M. Hofman, Jennifer Wortman Vaughan, Hanna M. Wallach:
Manipulating and Measuring Model Interpretability. CoRR abs/1802.07810 (2018) - [i10]Alekh Agarwal, Alina Beygelzimer, Miroslav Dudík, John Langford, Hanna M. Wallach:
A Reductions Approach to Fair Classification. CoRR abs/1803.02453 (2018) - [i9]Aaron Schein, Zhiwei Steven Wu, Mingyuan Zhou, Hanna M. Wallach:
Locally Private Bayesian Inference for Count Models. CoRR abs/1803.08471 (2018) - [i8]Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna M. Wallach, Hal Daumé III, Kate Crawford:
Datasheets for Datasets. CoRR abs/1803.09010 (2018) - 2017
- [c23]Rishabh Mehrotra, Ashton Anderson, Fernando Diaz, Amit Sharma, Hanna M. Wallach, Emine Yilmaz:
Auditing Search Engines for Differential Satisfaction Across Demographics. WWW (Companion Volume) 2017: 626-633 - [e2]Dirk Hovy, Shannon L. Spruit, Margaret Mitchell, Emily M. Bender, Michael Strube, Hanna M. Wallach:
Proceedings of the First ACL Workshop on Ethics in Natural Language Processing, EthNLP@EACL, Valencia, Spain, April 4, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-47-0 [contents] - [e1]Isabelle Guyon, Ulrike von Luxburg, Samy Bengio, Hanna M. Wallach, Rob Fergus, S. V. N. Vishwanathan, Roman Garnett:
Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA. 2017 [contents] - [i7]Aaron Schein, Mingyuan Zhou, Hanna M. Wallach:
Poisson-Gamma Dynamical Systems. CoRR abs/1701.05573 (2017) - [i6]Rishabh Mehrotra, Ashton Anderson, Fernando Diaz, Amit Sharma, Hanna M. Wallach, Emine Yilmaz:
Auditing Search Engines for Differential Satisfaction Across Demographics. CoRR abs/1705.10689 (2017) - 2016
- [c22]Abram Handler, Matthew Denny, Hanna M. Wallach, Brendan O'Connor:
Bag of What? Simple Noun Phrase Extraction for Text Analysis. NLP+CSS@EMNLP 2016: 114-124 - [c21]Allison June-Barlow Chaney, Hanna M. Wallach, Matthew Connelly, David M. Blei:
Detecting and Characterizing Events. EMNLP 2016: 1142-1152 - [c20]Aaron Schein, Mingyuan Zhou, David M. Blei, Hanna M. Wallach:
Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations. ICML 2016: 2810-2819 - [c19]Brenda Betancourt, Giacomo Zanella, Jeffrey W. Miller, Hanna M. Wallach, Abbas Zaidi, Beka Steorts:
Flexible Models for Microclustering with Application to Entity Resolution. NIPS 2016: 1417-1425 - [c18]Aaron Schein, Hanna M. Wallach, Mingyuan Zhou:
Poisson-Gamma dynamical systems. NIPS 2016: 5006-5014 - [c17]Rahul Goel, Sandeep Soni, Naman Goyal, John Paparrizos, Hanna M. Wallach, Fernando Diaz, Jacob Eisenstein:
The Social Dynamics of Language Change in Online Networks. SocInfo (1) 2016: 41-57 - [p1]Hanna M. Wallach:
Conclusion - Computational Social Science: Toward a Collaborative Future. Computational Social Science 2016: 307-316 - [i5]Aaron Schein, Mingyuan Zhou, David M. Blei, Hanna M. Wallach:
Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations. CoRR abs/1606.01855 (2016) - [i4]Rahul Goel, Sandeep Soni, Naman Goyal, John Paparrizos, Hanna M. Wallach, Fernando Diaz, Jacob Eisenstein:
The Social Dynamics of Language Change in Online Networks. CoRR abs/1609.02075 (2016) - 2015
- [c16]Fangjian Guo, Charles Blundell, Hanna M. Wallach, Katherine A. Heller:
The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation. AISTATS 2015 - [c15]Aaron Schein, John William Paisley, David M. Blei, Hanna M. Wallach:
Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts. KDD 2015: 1045-1054 - [i3]Aaron Schein, John William Paisley, David M. Blei, Hanna M. Wallach:
Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts. CoRR abs/1506.03493 (2015) - 2014
- [j1]Winter A. Mason, Jennifer Wortman Vaughan, Hanna M. Wallach:
Computational social science and social computing. Machine Learning 95(3): 257-260 (2014) - [c14]Scott Counts, Munmun De Choudhury, Jana Diesner, Eric Gilbert, Marta Gonzalez, Brian Keegan, Mor Naaman, Hanna M. Wallach:
Computational social science: CSCW in the social media era. CSCW Companion 2014: 105-108 - [i2]Fangjian Guo, Charles Blundell, Hanna M. Wallach, Katherine A. Heller:
The Bayesian Echo Chamber: Modeling Influence in Conversations. CoRR abs/1411.2674 (2014) - 2013
- [c13]Kriste Krstovski, David A. Smith, Hanna M. Wallach, Andrew McGregor:
Efficient Nearest-Neighbor Search in the Probability Simplex. ICTIR 2013: 22 - [i1]Aaron Schein, Juston Moore, Hanna M. Wallach:
Inferring Multilateral Relations from Dynamic Pairwise Interactions. CoRR abs/1311.3982 (2013) - 2012
- [c12]Anton Bakalov, Andrew McCallum, Hanna M. Wallach, David M. Mimno:
Topic models for taxonomies. JCDL 2012: 237-240 - [c11]Peter Krafft, Juston Moore, Bruce A. Desmarais, Hanna M. Wallach:
Topic-Partitioned Multinetwork Embeddings. NIPS 2012: 2816-2824 - 2011
- [c10]David M. Mimno, Hanna M. Wallach, Edmund M. Talley, Miriam Leenders, Andrew McCallum:
Optimizing Semantic Coherence in Topic Models. EMNLP 2011: 262-272 - 2010
- [c9]Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghahramani:
Learning the Structure of Deep Sparse Graphical Models. AISTATS 2010: 1-8 - [c8]Hanna M. Wallach, Shane T. Jensen, Lee H. Dicker, Katherine A. Heller:
An Alternative Prior Process for Nonparametric Bayesian Clustering. AISTATS 2010: 892-899
2000 – 2009
- 2009
- [c7]David M. Mimno, Hanna M. Wallach, Jason Naradowsky, David A. Smith, Andrew McCallum:
Polylingual Topic Models. EMNLP 2009: 880-889 - [c6]Hanna M. Wallach, Iain Murray, Ruslan Salakhutdinov, David M. Mimno:
Evaluation methods for topic models. ICML 2009: 1105-1112 - [c5]Hanna M. Wallach, David M. Mimno, Andrew McCallum:
Rethinking LDA: Why Priors Matter. NIPS 2009: 1973-1981 - 2008
- [c4]Mark Dredze, Hanna M. Wallach, Danny Puller, Tova Brooks, Josh Carroll, Joshua Magarick, John Blitzer, Fernando Pereira:
Intelligent Email: Aiding Users with AI. AAAI 2008: 1524-1527 - [c3]Mark Dredze, Hanna M. Wallach, Danny Puller, Fernando Pereira:
Generating summary keywords for emails using topics. IUI 2008: 199-206 - 2006
- [c2]
- 2002
- [c1]Alan F. Blackwell, Hanna M. Wallach:
Diagrammatic Integration of Abstract Operations into Software Work Contexts. Diagrams 2002: 191-205
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