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Daniel B. Neill

New York University

SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss


Sep 30, 2021
Konstantin Klemmer, Tianlin Xu, Beatrice Acciaio, Daniel B. Neill


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Policing Chronic and Temporary Hot Spots of Violent Crime: A Controlled Field Experiment


Nov 11, 2020
Dylan J. Fitzpatrick, Wilpen L. Gorr, Daniel B. Neill

* 15 pages, 3 figures 

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SXL: Spatially explicit learning of geographic processes with auxiliary tasks


Jun 18, 2020
Konstantin Klemmer, Daniel B. Neill


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Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction


Oct 30, 2018
William Herlands, Daniel B. Neill, Hannes Nickisch, Andrew Gordon Wilson


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Efficient Discovery of Heterogeneous Treatment Effects in Randomized Experiments via Anomalous Pattern Detection


Jun 07, 2018
Edward McFowland III, Sriram Somanchi, Daniel B. Neill


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Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data


Apr 04, 2018
William Herlands, Edward McFowland III, Andrew Gordon Wilson, Daniel B. Neill

* Presented at AISTATS 2018. 11 pages. Supplement to main paper is included here as an appendix 

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Machine Learning for Drug Overdose Surveillance


Oct 06, 2017
Daniel B. Neill, William Herlands

* Presented at the Data For Good Exchange 2017 

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Identifying Significant Predictive Bias in Classifiers


Jul 04, 2017
Zhe Zhang, Daniel B. Neill

* Presented as a poster at the 2017 Workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT/ML 2017); earlier version presented at NIPS 2016 Workshop on Interpretable Machine Learning in Complex Systems 

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Graph Structure Learning from Unlabeled Data for Event Detection


Jan 05, 2017
Sriram Somanchi, Daniel B. Neill


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Semantic Scan: Detecting Subtle, Spatially Localized Events in Text Streams


Feb 13, 2016
Abhinav Maurya, Kenton Murray, Yandong Liu, Chris Dyer, William W. Cohen, Daniel B. Neill

* 10 pages, 4 figures, KDD 2016 submission 

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