Wesley Tansey

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 16

Top Topics

Active Learning

Hypothesis Test

Total Variation

Top Venues

J. Comput. Biol.

Publications

Mukund Sudarshan, Aahlad Manas Puli, Wesley Tansey, Rajesh Ranganath
DIET: Conditional independence testing with marginal dependence measures of residual information. AISTATS (2023)
Christopher Tosh, Mauricio Tec, Wesley Tansey
Targeted active learning for probabilistic models. CoRR (2022)
Oscar Hernan Madrid Padilla, Wesley Tansey, Yanzhen Chen
Quantile regression with ReLU Networks: Estimators and minimax rates. J. Mach. Learn. Res. 23 (2022)
Wesley Tansey, Victor Veitch, Haoran Zhang, Raul Rabadan, David M. Blei
The Holdout Randomization Test for Feature Selection in Black Box Models. J. Comput. Graph. Stat. 31 (1) (2022)
Mukund Sudarshan, Aahlad Manas Puli, Wesley Tansey, Rajesh Ranganath
DIET: Conditional independence testing with marginal dependence measures of residual information. CoRR (2022)
Collin Burns, Jesse Thomason, Wesley Tansey
Interpreting Black Box Models via Hypothesis Testing. FODS (2020)
Mukund Sudarshan, Wesley Tansey, Rajesh Ranganath
Deep Direct Likelihood Knockoffs. NeurIPS (2020)
Mukund Sudarshan, Wesley Tansey, Rajesh Ranganath
Deep Direct Likelihood Knockoffs. CoRR (2020)
Wesley Tansey, Christopher Tosh, David M. Blei
Bayesian Tensor Filtering: Smooth, Locally-Adaptive Factorization of Functional Matrices. CoRR (2019)
Collin Burns, Jesse Thomason, Wesley Tansey
Interpreting Black Box Models with Statistical Guarantees. CoRR (2019)
Abdoulaye Baniré Diallo, Engelbert Mephu Nguifo, Wajdi Dhifli, Elham Azizi, Sandhya Prabhakaran, Wesley Tansey
Selected Papers from the Workshop on Computational Biology: Joint with the International Joint Conference on Artificial Intelligence and the International Conference on Machine Learning, 2018. J. Comput. Biol. 26 (6) (2019)
Wesley Tansey, Yixin Wang, David M. Blei, Raul Rabadan
Black Box FDR. CoRR (2018)
Wesley Tansey, Yixin Wang, David M. Blei, Raul Rabadan
Black Box FDR. ICML (2018)
Wesley Tansey, Jesse Thomason, James G. Scott
Maximum-Variance Total Variation Denoising for Interpretable Spatial Smoothing. AAAI (2018)
Wesley Tansey, Karl Pichotta, James G. Scott
Leaf-Smoothed Hierarchical Softmax for Ordinal Prediction. AAAI (2018)
Wesley Tansey, Edward W. Lowe Jr., James G. Scott
Diet2Vec: Multi-scale analysis of massive dietary data. CoRR (2016)
Wesley Tansey, Oscar Hernan Madrid Padilla, Arun Sai Suggala, Pradeep Ravikumar
Vector-Space Markov Random Fields via Exponential Families. ICML (2015)
Wesley Tansey, Eliana Feasley, Risto Miikkulainen
Accelerating evolution via egalitarian social learning. GECCO (2012)
Risto Miikkulainen, Eliana Feasley, Leif M. Johnson, Igor Karpov, Padmini Rajagopalan, Aditya Rawal, Wesley Tansey
Multiagent Learning through Neuroevolution. WCCI (2012)
Myoungkyu Song, Eli Tilevich, Wesley Tansey
Trailblazer: a tool for automated annotation refactoring. OOPSLA Companion (2009)
Wesley Tansey, Eli Tilevich
Efficient automated marshaling of C++ data structures for MPI applications. IPDPS (2008)
Sriram Gopal, Wesley Tansey, Gokulnath C. Kannan, Eli Tilevich
DeXteR- An Extensible Framework for Declarative Parameter Passing in Distributed Object Systems. Middleware (2008)
Wesley Tansey, Eli Tilevich
Annotation refactoring: inferring upgrade transformations for legacy applications. OOPSLA (2008)