Picture for Wesley Tansey

Wesley Tansey

DIET: Conditional independence testing with marginal dependence measures of residual information

Add code
Aug 18, 2022
Figure 1 for DIET: Conditional independence testing with marginal dependence measures of residual information
Figure 2 for DIET: Conditional independence testing with marginal dependence measures of residual information
Figure 3 for DIET: Conditional independence testing with marginal dependence measures of residual information
Figure 4 for DIET: Conditional independence testing with marginal dependence measures of residual information
Viaarxiv icon

Quantile regression with ReLU Networks: Estimators and minimax rates

Add code
Oct 27, 2020
Figure 1 for Quantile regression with ReLU Networks: Estimators and minimax rates
Figure 2 for Quantile regression with ReLU Networks: Estimators and minimax rates
Figure 3 for Quantile regression with ReLU Networks: Estimators and minimax rates
Figure 4 for Quantile regression with ReLU Networks: Estimators and minimax rates
Viaarxiv icon

Deep Direct Likelihood Knockoffs

Add code
Jul 31, 2020
Figure 1 for Deep Direct Likelihood Knockoffs
Figure 2 for Deep Direct Likelihood Knockoffs
Figure 3 for Deep Direct Likelihood Knockoffs
Figure 4 for Deep Direct Likelihood Knockoffs
Viaarxiv icon

Bayesian Tensor Filtering: Smooth, Locally-Adaptive Factorization of Functional Matrices

Add code
Jun 10, 2019
Figure 1 for Bayesian Tensor Filtering: Smooth, Locally-Adaptive Factorization of Functional Matrices
Figure 2 for Bayesian Tensor Filtering: Smooth, Locally-Adaptive Factorization of Functional Matrices
Figure 3 for Bayesian Tensor Filtering: Smooth, Locally-Adaptive Factorization of Functional Matrices
Viaarxiv icon

Interpreting Black Box Models with Statistical Guarantees

Add code
Mar 29, 2019
Figure 1 for Interpreting Black Box Models with Statistical Guarantees
Figure 2 for Interpreting Black Box Models with Statistical Guarantees
Figure 3 for Interpreting Black Box Models with Statistical Guarantees
Figure 4 for Interpreting Black Box Models with Statistical Guarantees
Viaarxiv icon

Black Box FDR

Add code
Jun 08, 2018
Figure 1 for Black Box FDR
Figure 2 for Black Box FDR
Figure 3 for Black Box FDR
Figure 4 for Black Box FDR
Viaarxiv icon

Interpretable Low-Dimensional Regression via Data-Adaptive Smoothing

Add code
Aug 06, 2017
Figure 1 for Interpretable Low-Dimensional Regression via Data-Adaptive Smoothing
Figure 2 for Interpretable Low-Dimensional Regression via Data-Adaptive Smoothing
Viaarxiv icon

Deep Nonparametric Estimation of Discrete Conditional Distributions via Smoothed Dyadic Partitioning

Add code
Feb 28, 2017
Figure 1 for Deep Nonparametric Estimation of Discrete Conditional Distributions via Smoothed Dyadic Partitioning
Figure 2 for Deep Nonparametric Estimation of Discrete Conditional Distributions via Smoothed Dyadic Partitioning
Figure 3 for Deep Nonparametric Estimation of Discrete Conditional Distributions via Smoothed Dyadic Partitioning
Figure 4 for Deep Nonparametric Estimation of Discrete Conditional Distributions via Smoothed Dyadic Partitioning
Viaarxiv icon

GapTV: Accurate and Interpretable Low-Dimensional Regression and Classification

Add code
Feb 23, 2017
Figure 1 for GapTV: Accurate and Interpretable Low-Dimensional Regression and Classification
Figure 2 for GapTV: Accurate and Interpretable Low-Dimensional Regression and Classification
Figure 3 for GapTV: Accurate and Interpretable Low-Dimensional Regression and Classification
Figure 4 for GapTV: Accurate and Interpretable Low-Dimensional Regression and Classification
Viaarxiv icon

Diet2Vec: Multi-scale analysis of massive dietary data

Add code
Dec 01, 2016
Figure 1 for Diet2Vec: Multi-scale analysis of massive dietary data
Figure 2 for Diet2Vec: Multi-scale analysis of massive dietary data
Figure 3 for Diet2Vec: Multi-scale analysis of massive dietary data
Figure 4 for Diet2Vec: Multi-scale analysis of massive dietary data
Viaarxiv icon