1 citations · 4 across the 8 of their papers we have counts for
5 papers · 1 filter
ACE: Active Learning for Causal Inference with Expensive Experiments
Difan Song, Simon Mak, C. F. Jeff Wu
Experiments are the gold standard for causal inference. In many applications, experimental units can often be recruited or chosen sequentially, and the adaptive execution of such e…
PERCEPT: a new online change-point detection method using topological data analysis
Xiaojun Zheng, Simon Mak, Liyan Xie +1
Topological data analysis (TDA) provides a set of data analysis tools for extracting embedded topological structures from complex high-dimensional datasets. In recent years, TDA ha…
Online High-Dimensional Change-Point Detection using Topological Data Analysis
Xiaojun Zheng, Simon Mak, Yao Xie
Topological Data Analysis (TDA) is a rapidly growing field, which studies methods for learning underlying topological structures present in complex data representations. TDA method…
TSEC: a framework for online experimentation under experimental constraints
Simon Mak, Yuanshuo Zhou, Lavonne Hoang +1
Thompson sampling is a popular algorithm for solving multi-armed bandit problems, and has been applied in a wide range of applications, from website design to portfolio optimizatio…
BdryGP: a new Gaussian process model for incorporating boundary information
Liang Ding, Simon Mak, C. F. Jeff Wu
Gaussian processes (GPs) are widely used as surrogate models for emulating computer code, which simulate complex physical phenomena. In many problems, additional boundary informati…