Wesley Tansey - RankMe

32 papers A* 5A 5Journal 16Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Empirically Calibrated Conditional Independence Tests. CoRR Milleno Pan, Antoine de Mathelin, Wesley Tansey
2025	J	`jnl`	A Hierarchical Variational Graph Fused Lasso for Recovering Relative Rates in Spatial Compositional Data. CoRR Joaquim Valerio Teixeira, Ed Reznik, Sudpito Banerjee, Wesley Tansey
2025	—	`conf`	Addressing the Cold-Start Problem for Personalized Combination Drug Screening. MLCB Antoine de Mathelin, Christopher Tosh, Wesley Tansey
2025	J	`jnl`	Addressing the Cold-Start Problem for Personalized Combination Drug Screening. CoRR Antoine de Mathelin, Christopher Tosh, Wesley Tansey
2025	—	`conf`	Controllable Diffusion-Based Generation for MRI. BraTS-Lighthouse/AIMS-TBI@MICCAI (2) Haoran Zhang, Wesley Tansey
2025	J	`jnl`	Controllable diffusion-based generation for multi-channel biological data. CoRR Haoran Zhang, Mingyuan Zhou, Wesley Tansey
2025	J	`jnl`	Distilled Protein Backbone Generation. CoRR Liyang Xie, Haoran Zhang, Zhendong Wang, Wesley Tansey, Mingyuan Zhou
2025	—	`conf`	Scalable Causal Structure Learning via Amortized Conditional Independence Testing. CLeaR James Leiner, Brian Manzo, Aaditya Ramdas, Wesley Tansey
2025	J	`jnl`	Treatment response as a latent variable. CoRR Christopher Tosh, Boyuan Zhang, Wesley Tansey
2023	A	`conf`	DIET: Conditional independence testing with marginal dependence measures of residual information. AISTATS Mukund Sudarshan, Aahlad Manas Puli, Wesley Tansey, Rajesh Ranganath
2022	J	`jnl`	DIET: Conditional independence testing with marginal dependence measures of residual information. CoRR Mukund Sudarshan, Aahlad Manas Puli, Wesley Tansey, Rajesh Ranganath
2022	J	`jnl`	Quantile regression with ReLU Networks: Estimators and minimax rates. J. Mach. Learn. Res. Oscar Hernan Madrid Padilla, Wesley Tansey, Yanzhen Chen
2022	J	`jnl`	Targeted active learning for probabilistic models. CoRR Christopher Tosh, Mauricio Tec, Wesley Tansey
2022	J	`jnl`	The Holdout Randomization Test for Feature Selection in Black Box Models. J. Comput. Graph. Stat. Wesley Tansey, Victor Veitch, Haoran Zhang, Raul Rabadan, David M. Blei
2020	A*	`conf`	Deep Direct Likelihood Knockoffs. NeurIPS Mukund Sudarshan, Wesley Tansey, Rajesh Ranganath
2020	J	`jnl`	Deep Direct Likelihood Knockoffs. CoRR Mukund Sudarshan, Wesley Tansey, Rajesh Ranganath
2020	—	`conf`	Interpreting Black Box Models via Hypothesis Testing. FODS Collin Burns, Jesse Thomason, Wesley Tansey
2019	J	`jnl`	Bayesian Tensor Filtering: Smooth, Locally-Adaptive Factorization of Functional Matrices. CoRR Wesley Tansey, Christopher Tosh, David M. Blei
2019	J	`jnl`	Interpreting Black Box Models with Statistical Guarantees. CoRR Collin Burns, Jesse Thomason, Wesley Tansey
2019	J	`jnl`	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. Abdoulaye Baniré Diallo, Engelbert Mephu Nguifo, Wajdi Dhifli, Elham Azizi, Sandhya Prabhakaran, Wesley Tansey
2018	A*	`conf`	Black Box FDR. ICML Wesley Tansey, Yixin Wang, David M. Blei, Raul Rabadan
2018	J	`jnl`	Black Box FDR. CoRR Wesley Tansey, Yixin Wang, David M. Blei, Raul Rabadan
2018	A*	`conf`	Leaf-Smoothed Hierarchical Softmax for Ordinal Prediction. AAAI Wesley Tansey, Karl Pichotta, James G. Scott
2018	A*	`conf`	Maximum-Variance Total Variation Denoising for Interpretable Spatial Smoothing. AAAI Wesley Tansey, Jesse Thomason, James G. Scott
2016	J	`jnl`	Diet2Vec: Multi-scale analysis of massive dietary data. CoRR Wesley Tansey, Edward W. Lowe Jr., James G. Scott
2015	A*	`conf`	Vector-Space Markov Random Fields via Exponential Families. ICML Wesley Tansey, Oscar Hernan Madrid Padilla, Arun Sai Suggala, Pradeep Ravikumar
2012	A	`conf`	Accelerating evolution via egalitarian social learning. GECCO Wesley Tansey, Eliana Feasley, Risto Miikkulainen
2012	—	`conf`	Multiagent Learning through Neuroevolution. WCCI Risto Miikkulainen, Eliana Feasley, Leif M. Johnson, Igor Karpov, Padmini Rajagopalan, Aditya Rawal, Wesley Tansey
2009	—	`conf`	Trailblazer: a tool for automated annotation refactoring. OOPSLA Companion Myoungkyu Song, Eli Tilevich, Wesley Tansey
2008	A	`conf`	Annotation refactoring: inferring upgrade transformations for legacy applications. OOPSLA Wesley Tansey, Eli Tilevich
2008	A	`conf`	DeXteR- An Extensible Framework for Declarative Parameter Passing in Distributed Object Systems. Middleware Sriram Gopal, Wesley Tansey, Gokulnath C. Kannan, Eli Tilevich
2008	A	`conf`	Efficient automated marshaling of C++ data structures for MPI applications. IPDPS Wesley Tansey, Eli Tilevich