18 citations · 23 across the 14 of their papers we have counts for
17 papers
Not All Uncertainty Matters: Simulation-in-the-Loop Fast-Slow Reasoning for Decision-Critical Autonomous Driving System
Jiayi Chen, Shuai Wang, Guangxu Zhu +3
Large vision-language models (VLMs) provide powerful open-world perception and reasoning for autonomous driving, but their high computational cost and inference latency make contin…
The exact dimensional threshold for Spearman rank-correlation compatibility
Ruodu Wang, Zhenyuan Zhang
We show that, for a given dimension, the set of Spearman's rank correlation matrices and that of linear correlation matrices coincide if and only if the dimension is no larger than…
Gaffke's confidence interval for the mean of bounded data is inadmissible but asymptotically efficient
Jiahao Ming, Aaditya Ramdas, Yi Shen +2
Given observations , Gaffke (2005) defined \[ K_n(\mathbf x)=\mathbb{P}_{\mathbf D}\!\left\{\sum_{i=1}^n x_iD_i\le 1\right\}, \qquad (D_0,D_1,\ldots,D_n)…
Admissibility and Complete Classes for False Discovery Rate Control with E-values
Liulei Sun, Ruodu Wang
The false discovery rate (FDR) is the most widely used error metric in modern multiple testing. We provide a comprehensive analysis of the admissibility of e-value-based procedures…
Tiny but uniform improvements of adaptive BH procedures via compound e-values
Nikolaos Ignatiadis, Ruodu Wang, Aaditya Ramdas
After the seminal Benjamini--Hochberg (BH) procedure for controlling the false discovery rate (FDR) was proposed, dozens of papers have attempted to improve its power by adapting t…
Combining e-values using demi-supermartingales
Jiahao Ming, Aaditya Ramdas, Yi Shen +2
We present a new method for combining e-variables through demi-supermartingales, which settles an old conjecture in the literature on nonparametric mean testing. It also provides a…
Online LLM watermark detection via e-processes
Weijie Su, Ruodu Wang, Zinan Zhao
Watermarking for large language models (LLMs) has emerged as an effective tool for distinguishing AI-generated text from human-written content. Statistically, watermark schemes ind…
Online monotone density estimation and log-optimal calibration
Rohan Hore, Ruodu Wang, Aaditya Ramdas
We study the problem of online monotone density estimation, where density estimators must be constructed in a predictable manner from sequentially observed data. We propose two onl…
Invariant Modeling for Joint Distributions
Christopher P. Chambers, Yusufcan Masatlioglu, Ruodu Wang
A common theme underlying many problems in statistics and economics involves the determination of a systematic method of selecting a joint distribution consistent with a specified…
Eliciting reference measures of law-invariant functionals
Felix-Benedikt Liebrich, Ruodu Wang
Law-invariant functionals are central to risk management and assign identical values to random prospects sharing the same distribution under an atomless reference probability measu…
Rating criteria, risk measures, and risk consistency
Nan Guo, Ruodu Wang, Chenxi Xia +1
Categorical ratings are widely used by investors to screen financial products, such as defaultable securities and investment funds. We model rating criteria as discrete transforms…
Quadratic-form Optimal Transport
Ruodu Wang, Zhenyuan Zhang
We introduce the framework of quadratic-form optimal transport (QOT), whose transport cost has the form for some coupling between two m…
Hypothesis testing with e-values
Aaditya Ramdas, Ruodu Wang
This book is written to offer a humble, but unified, treatment of e-values in hypothesis testing. It is organized into three parts: Fundamental Concepts, Core Ideas, and Advanced T…
The only admissible way of merging arbitrary e-values
Ruodu Wang
We prove that the only admissible way of merging arbitrary e-values is to use a weighted arithmetic average. This result completes the picture of merging methods for e-values, and…
Asymptotic and compound e-values: multiple testing and empirical Bayes
Nikolaos Ignatiadis, Ruodu Wang, Aaditya Ramdas
We explicitly define the notions of (bona fide, approximate or asymptotic) compound p-values and e-values, which have been implicitly presented and used in the recent multiple test…
Improved thresholds for e-values
Christopher Blier-Wong, Ruodu Wang
The rejection threshold used for e-values and e-processes is by default set to for a guaranteed type-I error control at , based on Markov's and Ville's inequalities. This…
Combining exchangeable p-values
Matteo Gasparin, Ruodu Wang, Aaditya Ramdas
The problem of combining p-values is an old and fundamental one, and the classic assumption of independence is often violated or unverifiable in many applications. There are many w…