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10/21/2022
Targeted active learning for probabilistic models
A fundamental task in science is to design experiments that yield valuab...
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08/18/2022
DIET: Conditional independence testing with marginal dependence measures of residual information
Conditional randomization tests (CRTs) assess whether a variable x is pr...
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10/16/2020
Quantile regression with ReLU Networks: Estimators and minimax rates
Quantile regression is the task of estimating a specified percentile res...
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07/31/2020
Deep Direct Likelihood Knockoffs
Predictive modeling often uses black box machine learning methods, such ...
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11/20/2019
Smoothed Nested Testing on Directed Acyclic Graphs
We consider the problem of multiple hypothesis testing when there is a l...
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06/10/2019
Bayesian Tensor Filtering: Smooth, Locally-Adaptive Factorization of Functional Matrices
We consider the problem of functional matrix factorization, finding low-...
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03/29/2019
Interpreting Black Box Models with Statistical Guarantees
While many methods for interpreting machine learning models have been pr...
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12/13/2018
Dose-response modeling in high-throughput cancer drug screenings: A case study with recommendations for practitioners
Personalized cancer treatments based on the molecular profile of a patie...
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11/01/2018
The Holdout Randomization Test: Principled and Easy Black Box Feature Selection
We consider the problem of feature selection using black box predictive ...
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06/08/2018
Black Box FDR
Analyzing large-scale, multi-experiment studies requires scientists to t...
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08/06/2017
Interpretable Low-Dimensional Regression via Data-Adaptive Smoothing
We consider the problem of estimating a regression function in the commo...
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02/23/2017
GapTV: Accurate and Interpretable Low-Dimensional Regression and Classification
We consider the problem of estimating a regression function in the commo...
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02/23/2017
Deep Nonparametric Estimation of Discrete Conditional Distributions via Smoothed Dyadic Partitioning
We present an approach to deep estimation of discrete conditional probab...
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06/07/2016
Better Conditional Density Estimation for Neural Networks
The vast majority of the neural network literature focuses on predicting...
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05/24/2015
A Fast and Flexible Algorithm for the Graph-Fused Lasso
We propose a new algorithm for solving the graph-fused lasso (GFL), a me...
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05/19/2015
