58 citations · 276 across the 26 of their papers we have counts for
6 papers · 1 filter
Powerful Partial Conjunction Hypothesis Testing via Conditioning
Biyonka Liang, Lu Zhang, Lucas Janson
A Partial Conjunction Hypothesis (PCH) test combines information across a set of base hypotheses to determine whether some subset is non-null. PCH tests arise in a diverse array of…
Surrogate-based global sensitivity analysis with statistical guarantees via floodgate
Massimo Aufiero, Lucas Janson
Computational models are utilized in many scientific domains to simulate complex systems. Sensitivity analysis is an important practice to aid our understanding of the mechanics of…
Controlled Discovery and Localization of Signals via Bayesian Linear Programming
Asher Spector, Lucas Janson
Scientists often must simultaneously localize and discover signals. For instance, in genetic fine-mapping, high correlations between nearby genetic variants make it hard to identif…
Rate-matching the regret lower-bound in the linear quadratic regulator with unknown dynamics
Feicheng Wang, Lucas Janson
The theory of reinforcement learning currently suffers from a mismatch between its empirical performance and the theoretical characterization of its performance, with consequences…
Statistical Inference After Adaptive Sampling for Longitudinal Data
Kelly W. Zhang, Lucas Janson, Susan A. Murphy
Online reinforcement learning and other adaptive sampling algorithms are increasingly used in digital intervention experiments to optimize treatment delivery for users over time. I…
Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis
Dae Woong Ham, Kosuke Imai, Lucas Janson
Conjoint analysis is a popular experimental design used to measure multidimensional preferences. Researchers examine how varying a factor of interest, while controlling for other r…