Wesley Tansey

RankFromSets: Scalable Set Recommendation with Optimal Recall

J. Altosaar, R. Ranganath, and W. Tansey

The 2020 Symposium on Data Science and Statistics (SDSS), June 2020.

[paper coming soon] [code coming soon]

Smoothed Nested Testing on Directed Acyclic Graphs

W. Tansey, J. H. Loper, L. Lei, and W. Fithian

Preprint, November 2019.

[paper] [code coming soon]

Relational Dose-Response Modeling for Cancer Drug Studies

W. Tansey, C. Tosh, and D. M. Blei

Preprint, November 2019.

[paper] [code]

Interpreting Black Box Models via Hypothesis Testing

C. Burns, J. Thomason, and W. Tansey

Preprint, April 2019.

[paper] [code]

Dose-Response Modeling in High-Throughput Cancer Drug Screenings: An end-to-end approach

W. Tansey, K. Li, H. Zhang, S. W. Linderman, D. M. Blei, R. Rabadan, and C. H. Wiggins

Preprint, December 2018.

[paper] [code]

The Holdout Randomization Test: Principled and Easy Black Box Feature Selection

W. Tansey, V. Veitch, H. Zhang, R. Rabadan, and D. M. Blei

Preprint, November 2018.

[paper] [code]

Black Box FDR

W. Tansey, Y. Wang, D. M. Blei, and R. Rabadan

The 2018 International Conference on Machine Learning (ICML), July 2018.

[paper] [code]

Leaf-Smoothed Hierarchical Softmax for Ordinal Prediction

W. Tansey, K. Pichotta, and J. G. Scott

The 2018 AAAI Conference on Artificial Intelligence (AAAI-18), February 2018.

[paper] [code]

Maximum-Variance Total Variation Denoising for Interpretable Spatial Smoothing

W. Tansey, J. Thomason, and J. G. Scott

The 2018 AAAI Conference on Artificial Intelligence (AAAI-18), February 2018.

[paper] [code]

False Discovery Rate Smoothing.

W. Tansey, O. Koyejo, R. A. Poldrack, and J. G. Scott.

Journal of the American Statistical Association (JASA): Theory and Methods, 2018.

[paper] [code]

Multiscale spatial density smoothing: an application to large-scale radiological survey and anomaly detection.

W. Tansey, A. Athey, A. Reinhart, and J. G. Scott

Journal of the American Statistical Association (JASA): Applications and Case Studies, 2017.

[paper] [code]

Interpretable Low-Dimensional Regression via Data-Adaptive Smoothing

W. Tansey, J. Thomason, and J. G. Scott

The 2017 ICML Workshop on Human Interpretability in Machine Learning, August 2017.

Deep Nonparametric Estimation of Discrete Conditional Distributions via Smoothed Dyadic Partitioning

W. Tansey, K. Pichotta, and J. G. Scott

Preprint, January 2017.

[paper] [code]

Diet2Vec: Multi-scale analysis of massive dietary data

W. Tansey, E. W. Lowe, and J. G. Scott

The 2016 NIPS Workshop on Machine Learning for Health, December 2016.

[paper]

A Fast and Flexible Algorithm for the Graph-Fused Lasso.

W. Tansey and J. G. Scott.

Preprint, May 2015.

[paper] [code]

Vector-Space Markov Random Fields via Exponential Families.

W. Tansey, O.-H. Madrid-Padilla, A. Suggala, and P. Ravikumar.

International Conference on Machine Learning (ICML) 32, 2015.

[paper] [code]