Publications

Computational Social Science

Computational Social Science: Toward a Collaborative Future. H. Wallach. In Computational Social Science: Discovery and Prediction, Cambridge University Press, forthcoming in 2016.

Computational Social Science: Computer-Supported Cooperative Work in the Social Media Era. S. Counts, M. De Choudhury, E. Gilbert, B. Keegan, M. Naaman, H. Wallach. In the 17th ACM Conference on Computer-Supported Cooperative Work and Social Computing, 2014.

Computational Social Science and Social Computing (Editorial). W. Mason, J. Wortman Vaughan, and H. Wallach. In the Machine Learning Journal, 95(3):257–260, 2014.

Fairness, Accountability, and Transparency

Exploring or Exploiting? Social and Ethical Implications of Autonomous Experimentation in AI. S. Bird, S. Barocas, K. Crawford, F. Diaz, and H. Wallach. Presented at the 3rd Workshop on Fairness, Accountability, and Transparency in Machine Learning, 2016.

Big Data, Machine Learning, and the Social Sciences: Fairness, Accountability, and Transparency. H. Wallach. Available on the Medium website, 2014.

Political Science

Bag of What? Simple Noun Phrase Extraction for Text Analysis. A. Handler, M. Denny, H. Wallach, and B. O'Connor. In the EMNLP Workshop on NLP and Computational Social Science, 2016. Also presented at the 7th Annual Text as Data Conference, 2016.

Detecting and Characterizing Events. A. Chaney, H. Wallach, M. Connelly, and D. Blei. In the Conference on Empirical Methods in Natural Language Processing, 2016.

Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations. A. Schein, M. Zhou, D. Blei, and H. Wallach. In the 33rd International Conference on Machine Learning, 2016. Earlier version also presented at the NIPS Workshop on Networks, 2015.

Transparency by Conformity: A Field Experiment Evaluating Openness in Local Governments. J. ben-Aaron, M. Denny, B. Desmarais, and H. Wallach. In Public Administration Review, 2016.

Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts. A. Schein, J. Paisley, D. Blei, and H. Wallach. In the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2015. Earlier version also presented at the NIPS Workshop on Networks: From Graphs to Rich Data, 2014.

The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation. F. Guo, C. Blundell, H. Wallach, and K. Heller. In the 18th International Conference on Artificial Intelligence and Statistics, 2015. Also presented at the 10th Conference on Bayesian Nonparametrics, 2015. Earlier versions also presented at the NIPS Workshop on Networks: From Graphs to Rich Data, 2014; the 5th Annual Text as Data Conference, 2014.

Modeling Email Network Content and Structure. M. Denny, J. ben Aaron, H. Wallach, and B. Desmarais. Presented at the 72nd Annual Midwest Political Science Association Conference, 2014; the Northeast Political Methodology Meeting, 2014; the 7th Annual Political Networks Conference, 2014; the Society for Political Methodology 31st Annual Summer Meeting, 2014; the 86th Annual Conference of the Southern Political Science Association, 2015.

Inferring Multilateral Relations from Dynamic Pairwise Interactions. J. Moore, A. Schein, and H. Wallach. Presented at the Computational Social Science Society Conference, 2013; the NIPS Workshop on Frontiers of Network Analysis: Methods, Models, and Applications, 2013.

Topic-Partitioned Multinetwork Embeddings. P. Krafft, J. Moore, B. Desmarais, and H. Wallach. In Advances in Neural Information Processing Systems 25, 2012. Earlier versions also presented at the Workshop on Information in Networks, 2012; the 3rd Annual Text as Data Conference, 2012; the 5th Annual Political Networks Conference, 2012.

A Class of Semiparametric Topic Models for Political Texts. J. Grimmer, R. Shorey, H. Wallach, and F. Zlotnik. Presented at the Society for Political Methodology 28th Annual Summer Meeting, 2011; the 70th Annual Midwest Political Science Association Conference, 2012.

Textual Analysis of Government Information Declassification Patterns. R. Shorey, H. Wallach, and B. Desmarais. Presented at the 2nd Annual Text as Data Conference, 2011.

Machine Learning

Poisson–Gamma Dynamical Systems. A. Schein, M. Zhou, and H. Wallach. In Advances in Neural Information Processing Systems 29, 2016. Also to be presented at the Theoretical Foundations for Statistical Network Analysis Workshop on Dynamic Networks, 2016.

Flexible Models for Microclustering with Application to Entity Resolution. G. Zanella, B. Betancourt, H. Wallach, J. Miller, A. Zaidi, and R. Steorts. In Advances in Neural Information Processing Systems 29, 2016. Earlier versions also presented at the 6th IMS–ISBA Joint Meeting, 2016; the NIPS Workshop on Bayesian Nonparametrics: The Next Generation, 2015.

Summarizing Topics: From Word Lists to Phrases. L. Hannah and H. Wallach. Presented at the NIPS Workshop on Modern Machine Learning and Natural Language Processing, 2014.

Efficient Nearest-Neighbor Search in the Probability Simplex. K. Krstovski, D. Smith, H. Wallach, and A. McGregor. In the 4th Conference on the Theory of Information Retrieval, 2013.

Topic Modeling for Concept Taxonomies. A. Bakalov, A. McCallum, H. Wallach, and D. Mimno. In the 12th ACM and IEEE-CS Joint Conference on Digital Libraries, 2012.

Correlations and Anticorrelations in LDA Inference. A. Passos, H. Wallach, and A. McCallum. Presented at the NIPS Workshop on Challenges in Learning Hierarchical Models, 2011.

Optimizing Coherence in Topic Models. D. Mimno, H. Wallach, M. Leenders, E. Talley, and A. McCallum. In the Conference on Empirical Methods in Natural Language Processing, 2011.

Learning the Structure of Deep Graphical Models. R. Adams, H. Wallach, and Z. Ghahramani. In the 13th International Conference on Artificial Intelligence and Statistics, 2010.

An Alternative Prior Process for Bayesian Clustering. H. Wallach, S. Jensen, L. Dicker, and K. Heller. In the 13th International Conference on Artificial Intelligence and Statistics, 2010.

Rethinking Latent Dirichlet Allocation: Why Priors Matter. H. Wallach, D. Mimno, and A. McCallum. In Advances in Neural Information Processing Systems 22, 2009.

Polylingual Topic Models. D. Mimno, H. Wallach, J. Naradowsky, D. Smith, and A. McCallum. In the Conference on Empirical Methods in Natural Language Processing, 2009. Earlier version presented at the Computational and Biological Learning Society Learning Workshop, 2009.

Evaluation Methods for Topic Models. H. Wallach, I. Murray, R. Salakhutdinov, and D. Mimno. In the 26th International Conference on Machine Learning, 2009. Earlier version also presented at the Computational and Biological Learning Society Learning Workshop, 2009.

Gibbs sampling for Logistic Normal Topic Models with Graph-Based Priors. D. Mimno, H. Wallach, and A. McCallum. Presented at the NIPS Workshop on Analyzing Graphs, 2008.

Modeling Dependency Trees Using Pitman-Yor Priors. H. Wallach, C. Sutton, and A. McCallum. Presented at the ICML/UAI/COLT Workshop on Prior Knowledge for Text and Language, 2008.

Structured Topic Models for Language. PhD thesis, University of Cambridge, 2008.

Community-Based Co-Authorship Prediction with Text. D. Mimno, H. Wallach, and A. McCallum. Presented at the NIPS Workshop on Statistical Models of Networks, 2007.

Topic Modeling: Beyond Bag-of-Words. H. Wallach. In the 23rd International Conference on Machine Learning, 2006. Earlier versions also presented at the NIPS Workshop on Bayesian Methods for Text, 2005; the North East Student Colloquium on Artificial Intelligence, 2006.

Conditional Random Fields: An Introduction. H. Wallach. Technical report, 2004.

Efficient Training of Conditional Random Fields. H. Wallach. Presented at the 6th Annual Computational Linguistics United Kingdom Research Colloquium, 2003.

Efficient Training of Conditional Random Fields. MSc thesis, University of Edinburgh, 2002.

Sociology

The Social Dynamics of Language Change. R. Goel, S. Soni, N. Goyal, J. Paparrizos, H. Wallach, F. Diaz, and J. Eisenstein. In the 8th International Conference on Social Informatics, 2016.

Characterization of Contact Offenders and Child Exploitation Material Trafficking on Five Peer-to-Peer Networks. G. Bissias, B. Levine, M. Liberatore, B. Lynn, J. Moore, H. Wallach, and J. Wolak. In Child Abuse & Neglect: The International Journal, 2016.

Computational Journalism

Modeling Gender Discrimination by Audiences of Online News. J. Matias and H. Wallach. Presented at the Computation + Journalism Conference, 2015.

HCI, Usability & Visualization

Database of National Institutes of Health Grants Using Machine-Learned Categories and Graphical Clustering. E. Talley, D. Newman, D. Mimno, B. Herr II, H. Wallach, G. Burns, M. Leenders, and A. McCallum. In Nature Methods, 8(6):443–444, 2011.

Intelligent Email: Aiding Users with Artificial Intelligence. M. Dredze, H. Wallach, D. Puller, T. Brooks, J. Caroll, J. Magarick, J. Blitzer, and F. Pereira. In the 23rd Association for the Advancement of Artificial Intelligence Conference on Artificial Intelligence, 2008.

Generating Summary Keywords for Emails Using Topics. M. Dredze, H. Wallach, D. Puller, and F. Pereira. In the 13th International Conference on Intelligent User Interfaces, 2008.

Unsupervised User Models for Email Activity Management. M. Dredze and H. Wallach. Presented at the 5th International Workshop on Ubiquitous User Modeling, 2008.

Diagrammatic Integration of Abstract Operations into Software Work Contexts. A. Blackwell and H. Wallach. In the 2nd International Conference on Diagrams, 2002.

Visual Representation of CAD Constraints. BA thesis, University of Cambridge, 2001.

Digital Humanities

Computational Papyrology: Language and Topic Modeling. D. Mimno and H. Wallach. Presented at Media in Transition 6: Stone and Papyrus, Storage and Transmission, 2009.

Miscellaneous

Seven Things I Wish I'd Known About Derby. "Logistic Aggression." In Derby Life, 2013.

The Benefits of Double-Blind Review. H. Wallach. 2013.

How to Be A Successful PhD Student. M. Dredze and H. Wallach. 2012.

The Debian New Maintainer Process: History and Aims. H. Wallach, M. Allan, and D. Harries. Presented at the 6th Annual International Debian Developers' Conference, 2005.