1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.ME2025
The Bias-Variance Tradeoff in Long-Term Experimentation
Daniel Ting, Kenneth Hung
As we exhaust methods that reduces variance without introducing bias, reducing variance in experiments often requires accepting some bias, using methods like winsorization or surro…
cs.AI2024★ 1 cited
Challenges Faced by Large Language Models in Solving Multi-Agent Flocking
Peihan Li, Vishnu Menon, Bhavanaraj Gudiguntla +2
Flocking is a behavior where multiple agents in a system attempt to stay close to each other while avoiding collision and maintaining a desired formation. This is observed in the n…
stat.ME2023
On the Limits of Regression Adjustment
Daniel Ting, Kenneth Hung
Regression adjustment, sometimes known as Controlled-experiment Using Pre-Experiment Data (CUPED), is an important technique in internet experimentation. It decreases the variance…