68 citations · 132 across the 7 of their papers we have counts for
7 papers
Balancing Method for High Dimensional Causal Inference
Thai Pham
Causal inference has received great attention across different fields from economics, statistics, education, medicine, to machine learning. Within this area, inferring causal effec…
Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges
Susan Athey, Guido Imbens, Thai Pham +1
There is a large literature on semiparametric estimation of average treatment effects under unconfounded treatment assignment in settings with a fixed number of covariates. More re…
Low Latency Anomaly Detection and Bayesian Network Prediction of Anomaly Likelihood
Derek Farren, Thai Pham, Marco Alban-Hidalgo
We develop a supervised machine learning model that detects anomalies in systems in real time. Our model processes unbounded streams of data into time series which then form the ba…
Unsupervised Learning For Effective User Engagement on Social Media
Thai Pham, Camelia Simoiu
In this paper, we investigate the effectiveness of unsupervised feature learning techniques in predicting user engagement on social media. Specifically, we compare two methods to p…
Anomaly Detection in the Bitcoin System - A Network Perspective
Thai Pham, Steven Lee
The problem of anomaly detection has been studied for a long time, and many Network Analysis techniques have been proposed as solutions. Although some results appear to be quite pr…
Anomaly Detection in Bitcoin Network Using Unsupervised Learning Methods
Thai Pham, Steven Lee
The problem of anomaly detection has been studied for a long time. In short, anomalies are abnormal or unlikely things. In financial networks, thieves and illegal activities are of…
The Instrumental Variable Method for Estimating Local Average Treatment Regime Effects
Thai Pham, Weixin Chen
We propose the instrumental variable regime (IVR) method to estimate the causal effects of multiple sequential treatments. This method serves to address the problem of endogenous s…