From the 1 of 15 linked papers with an AI index.
15 papers
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 paper analyzes the admissibility of e‑value based procedures for controlling the false discovery rate, showing that weighted‑mean e‑Benjamini‑Hochberg methods form a complete c…
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 tw…
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…
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…
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 to…