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Wesley Tansey
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2020 – today
- 2023
- [c13]Mukund Sudarshan, Aahlad Manas Puli, Wesley Tansey, Rajesh Ranganath:
DIET: Conditional independence testing with marginal dependence measures of residual information. AISTATS 2023: 10343-10367 - 2022
- [j3]Wesley Tansey
, Victor Veitch, Haoran Zhang
The Holdout Randomization Test for Feature Selection in Black Box Models. J. Comput. Graph. Stat. 31(1): 151-162 (2022) - [j2]Oscar Hernan Madrid Padilla, Wesley Tansey, Yanzhen Chen:
Quantile regression with ReLU Networks: Estimators and minimax rates. J. Mach. Learn. Res. 23: 247:1-247:42 (2022) - [i7]Mukund Sudarshan, Aahlad Manas Puli, Wesley Tansey, Rajesh Ranganath:
DIET: Conditional independence testing with marginal dependence measures of residual information. CoRR abs/2208.08579 (2022) - [i6]Christopher Tosh, Mauricio Tec, Wesley Tansey:
Targeted active learning for probabilistic models. CoRR abs/2210.12122 (2022) - 2020
- [c12]Collin Burns, Jesse Thomason, Wesley Tansey:
Interpreting Black Box Models via Hypothesis Testing. FODS 2020: 47-57 - [c11]Mukund Sudarshan, Wesley Tansey, Rajesh Ranganath:
Deep Direct Likelihood Knockoffs. NeurIPS 2020 - [i5]Mukund Sudarshan, Wesley Tansey, Rajesh Ranganath:
Deep Direct Likelihood Knockoffs. CoRR abs/2007.15835 (2020)
2010 – 2019
- 2019
- [j1]Abdoulaye Baniré Diallo, Engelbert Mephu Nguifo, Wajdi Dhifli
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): 507-508 (2019) - [i4]Collin Burns, Jesse Thomason, Wesley Tansey:
Interpreting Black Box Models with Statistical Guarantees. CoRR abs/1904.00045 (2019) - [i3]Wesley Tansey, Christopher Tosh, David M. Blei:
Bayesian Tensor Filtering: Smooth, Locally-Adaptive Factorization of Functional Matrices. CoRR abs/1906.04072 (2019) - 2018
- [c10]Wesley Tansey, Jesse Thomason, James G. Scott:
Maximum-Variance Total Variation Denoising for Interpretable Spatial Smoothing. AAAI 2018: 2460-2467 - [c9]Wesley Tansey, Karl Pichotta, James G. Scott:
Leaf-Smoothed Hierarchical Softmax for Ordinal Prediction. AAAI 2018: 4115-4122 - [c8]Wesley Tansey, Yixin Wang, David M. Blei, Raul Rabadan:
Black Box FDR. ICML 2018: 4874-4883 - [i2]Wesley Tansey, Yixin Wang, David M. Blei, Raul Rabadan:
Black Box FDR. CoRR abs/1806.03143 (2018) - 2016
- [i1]Wesley Tansey, Edward W. Lowe Jr., James G. Scott:
Diet2Vec: Multi-scale analysis of massive dietary data. CoRR abs/1612.00388 (2016) - 2015
- [c7]Wesley Tansey, Oscar Hernan Madrid Padilla, Arun Sai Suggala, Pradeep Ravikumar:
Vector-Space Markov Random Fields via Exponential Families. ICML 2015: 684-692 - 2012
- [c6]Wesley Tansey, Eliana Feasley, Risto Miikkulainen:
Accelerating evolution via egalitarian social learning. GECCO 2012: 919-926 - [c5]Risto Miikkulainen, Eliana Feasley, Leif M. Johnson, Igor Karpov, Padmini Rajagopalan, Aditya Rawal, Wesley Tansey:
Multiagent Learning through Neuroevolution. WCCI 2012: 24-46
2000 – 2009
- 2009
- [c4]Myoungkyu Song, Eli Tilevich
Trailblazer: a tool for automated annotation refactoring. OOPSLA Companion 2009: 813-814 - 2008
- [c3]Wesley Tansey, Eli Tilevich
Efficient automated marshaling of C++ data structures for MPI applications. IPDPS 2008: 1-12 - [c2]Sriram Gopal, Wesley Tansey, Gokulnath C. Kannan, Eli Tilevich:
DeXteR- An Extensible Framework for Declarative Parameter Passing in Distributed Object Systems. Middleware 2008: 144-163 - [c1]Wesley Tansey, Eli Tilevich
Annotation refactoring: inferring upgrade transformations for legacy applications. OOPSLA 2008: 295-312
Coauthor Index
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