Co-occurring keywords · papers mentioning both
Papers
Data-driven Design of Randomized Control Trials with Guaranteed Treatment Effects
ICML 2025
ByMI: Byzantine Machine Identification with False Discovery Rate Control
ICML 2024
Non-splitting Neyman-Pearson Classifiers
JMLR 2024
Debiased Machine Learning without Sample-Splitting for Stable Estimators
NeurIPS 2022
Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis
AISTATS 2020
Neyman-Pearson classification: parametrics and sample size requirement
JMLR 2020
Statistical Learning with a Nuisance Component (Extended Abstract)
IJCAI 2020
Computational Limits of A Distributed Algorithm for Smoothing Spline
JMLR 2017