Derivative Estimation in Random Design. - Yu Liu 080; Kris De Brabanter (NeurIPS, 2018)

Smoothed Nonparametric Derivative Estimation using Weighted Difference Quotients. - Yu Liu 080; Kris De Brabanter (J. Mach. Learn. Res., 2020)

Bayesian Sample Size Prediction for Online Activity. - Thomas S. Richardson 001; Yu Liu 080; James McQueen; Doug Hains (CoRR, 2021)

A Bayesian Model for Online Activity Sample Sizes. - Thomas S. Richardson 001; Yu Liu 080; James McQueen; Doug Hains (AISTATS, 2022)

Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring. - Runzhe Wan; Yu Liu 080; James McQueen; Doug Hains; Rui Song 006 (KDD, 2023)

Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches. - Yu Liu 080; Runzhe Wan; James McQueen; Doug Hains; Jinxiang Gu; Rui Song 006 (AAAI, 2024)

Know When to Fold: Futility-Aware Early Termination in Online Experiments. - Yu Liu 080; Runzhe Wan; Yian Huang; James McQueen; Doug Hains; Jinxiang Gu; Rui Song 006 (WWW (Companion Volume), 2025)