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Wesley Tansey
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Cited by
Year
Annotation refactoring: inferring upgrade transformations for legacy applications
W Tansey, E Tilevich
Proceedings of the 23rd ACM SIGPLAN conference on Object-oriented …, 2008
632008
The Holdout Randomization Test for Feature Selection in Black Box Models
W Tansey, V Veitch, H Zhang, R Rabadan, DM Blei
Journal of Computational and Graphical Statistics, 2021
53*2021
False Discovery Rate Smoothing
W Tansey, O Koyejo, RA Poldrack, JG Scott
Journal of the American Statistical Association 113 (523), 1156-1171, 2018
47*2018
Interpreting black box models via hypothesis testing
C Burns, J Thomason, W Tansey
Proceedings of the 2020 ACM-IMS on foundations of data science conference, 47-57, 2020
38*2020
A fast and flexible algorithm for the graph-fused lasso
W Tansey, JG Scott
arXiv preprint arXiv:1505.06475, 2015
332015
Multiscale spatial density smoothing: an application to large-scale radiological survey and anomaly detection
W Tansey, A Athey, A Reinhart, JG Scott
Journal of the American Statistical Association 112 (519), 1047-1063, 2017
272017
Efficient automated marshaling of C++ data structures for MPI applications
W Tansey, E Tilevich
2008 IEEE International Symposium on Parallel and Distributed Processing, 1-12, 2008
262008
Vector-space Markov Random Fields via Exponential Families
W Tansey, OHM Padilla, AS Suggala, P Ravikumar
Proceedings of The 32nd International Conference on Machine Learning 37, 684-692, 2015
242015
Multiagent learning through neuroevolution
R Miikkulainen, E Feasley, L Johnson, I Karpov, P Rajagopalan, A Rawal, ...
Advances in Computational Intelligence: IEEE World Congress on Computational …, 2012
242012
Black Box FDR
W Tansey, Y Wang, D Blei, R Rabadan
International Conference on Machine Learning, 4867-4876, 2018
172018
Deep direct likelihood knockoffs
M Sudarshan, W Tansey, R Ranganath
Advances in neural information processing systems 33, 5036-5046, 2020
122020
Quantile regression with ReLU Networks: Estimators and minimax rates
OHM Padilla, W Tansey, Y Chen
Journal of Machine Learning Research 23 (247), 1-42, 2022
112022
Dose–response modeling in high-throughput cancer drug screenings: an end-to-end approach
W Tansey, K Li, H Zhang, SW Linderman, R Rabadan, DM Blei, ...
Biostatistics 23 (2), 643-665, 2022
9*2022
Leaf-smoothed hierarchical softmax for ordinal prediction
W Tansey, K Pichotta, J Scott
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
9*2018
Improved models for password guessing
W Tansey
University of Texas, Tech. Rep, 2011
92011
Accelerating evolution via egalitarian social learning
W Tansey, E Feasley, R Miikkulainen
Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012
82012
Maximum-variance total variation denoising for interpretable spatial smoothing
W Tansey, J Thomason, J Scott
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
6*2018
Diet2Vec: Multi-scale analysis of massive dietary data
W Tansey, EW Lowe Jr, JG Scott
arXiv preprint arXiv:1612.00388, 2016
62016
DeXteR – An Extensible Framework for Declarative Parameter Passing in Distributed Object Systems
S Gopal, W Tansey, GC Kannan, E Tilevich
Middleware 2008: ACM/IFIP/USENIX 9th International Middleware Conference …, 2008
52008
RankFromSets: Scalable set recommendation with optimal recall
J Altosaar, R Ranganath, W Tansey
Stat 10 (1), e363, 2021
32021
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