3 citations · 3 across the 3 of their papers we have counts for
4 papers
Fetch Me If You Can: A Comprehensive Analysis of Fetch Metadata
Pedro Bernardo, Alex Ploner, Marco Squarcina +2
Effective server-side defenses against cross-site attacks depend on understanding the context in which browser requests are generated. However, servers often lack the information n…
A Fuzzy Decomposition Method to Establish Functional Inequalities
Suei-Wen Chen
This paper presents a method to establish functional inequalities via fuzzy decomposition on the state space, which generalizes earlier results dealing with exact partitions of the…
Finite-Sample Analysis of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning
Suei-Wen Chen, Keith Ross, Pierre Youssef
Monte Carlo Exploring Starts (MCES), which aims to learn the optimal policy using only sample returns, is a simple and natural algorithm in reinforcement learning which has been sh…
How Bad is Training on Synthetic Data? A Statistical Analysis of Language Model Collapse
Mohamed El Amine Seddik, Suei-Wen Chen, Soufiane Hayou +2
The phenomenon of model collapse, introduced in (Shumailov et al., 2023), refers to the deterioration in performance that occurs when new models are trained on synthetic data gener…