Hanna M. Wallach

According to our database1, Hanna M. Wallach authored at least 33 papers between 2002 and 2019.

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Bibliography

2019
What's in a Name? Reducing Bias in Bios without Access to Protected Attributes.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Combining Sentiment Lexica with a Multi-View Variational Autoencoder.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Locally Private Bayesian Inference for Count Models.
Proceedings of the 36th International Conference on Machine Learning, 2019

Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

Understanding the Effect of Accuracy on Trust in Machine Learning Models.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need?
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018
Computational social science ≠ computer science + social data.
Commun. ACM, 2018

A Reductions Approach to Fair Classification.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Auditing Search Engines for Differential Satisfaction Across Demographics.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

2016
The Social Dynamics of Language Change in Online Networks.
Proceedings of the Social Informatics - 8th International Conference, 2016

Poisson-Gamma dynamical systems.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Flexible Models for Microclustering with Application to Entity Resolution.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Detecting and Characterizing Events.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Bag of What? Simple Noun Phrase Extraction for Text Analysis.
Proceedings of the First Workshop on NLP and Computational Social Science, 2016

Conclusion - Computational Social Science: Toward a Collaborative Future.
Proceedings of the Computational Social Science: Discovery and Prediction, 2016

2015
Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Computational social science and social computing.
Machine Learning, 2014

Computational social science: CSCW in the social media era.
Proceedings of the Computer Supported Cooperative Work, 2014

2013
Efficient Nearest-Neighbor Search in the Probability Simplex.
Proceedings of the International Conference on the Theory of Information Retrieval, 2013

2012
Topic-Partitioned Multinetwork Embeddings.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Topic models for taxonomies.
Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries, 2012

2011
Optimizing Semantic Coherence in Topic Models.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

2010
An Alternative Prior Process for Nonparametric Bayesian Clustering.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Learning the Structure of Deep Sparse Graphical Models.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

2009
Rethinking LDA: Why Priors Matter.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Evaluation methods for topic models.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Polylingual Topic Models.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

2008
Generating summary keywords for emails using topics.
Proceedings of the 13th International Conference on Intelligent User Interfaces, 2008

Intelligent Email: Aiding Users with AI.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2006
Topic modeling: beyond bag-of-words.
Proceedings of the Machine Learning, 2006

2002
Diagrammatic Integration of Abstract Operations into Software Work Contexts.
Proceedings of the Diagrammatic Representation and Inference, 2002


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