86 citations · 471 across the 33 of their papers we have counts for
6 papers · 1 filter
Competing Models: Inferring Exploration Patterns and Information Relevance via Bayesian Model Selection
Shayan Monadjemi, Roman Garnett, Alvitta Ottley
Analyzing interaction data provides an opportunity to learn about users, uncover their underlying goals, and create intelligent visualization systems. The first step for intelligen…
Guided Data Discovery in Interactive Visualizations via Active Search
Shayan Monadjemi, Sunwoo Ha, Quan Nguyen +3
Recent advances in visual analytics have enabled us to learn from user interactions and uncover analytic goals. These innovations set the foundation for actively guiding users duri…
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees
Shali Jiang, Daniel R. Jiang, Maximilian Balandat +3
Bayesian optimization is a sequential decision making framework for optimizing expensive-to-evaluate black-box functions. Computing a full lookahead policy amounts to solving a hig…
GPIRT: A Gaussian Process Model for Item Response Theory
JBrandon Duck-Mayr, Roman Garnett, Jacob M. Montgomery
The goal of item response theoretic (IRT) models is to provide estimates of latent traits from binary observed indicators and at the same time to learn the item response functions…
Automated Measurement of Quasar Redshift with a Gaussian Process
Leah Fauber, Ming-Feng Ho, Simeon Bird +3
We develop an automated technique to measure quasar redshifts in the Baryon Oscillation Spectroscopic Survey (BOSS) of the Sloan Digital Sky Survey (SDSS). Our technique is an exte…
Detecting Multiple DLAs per Spectrum in SDSS DR12 with Gaussian Processes
Ming-Feng Ho, Simeon Bird, Roman Garnett
We present a revised version of our automated technique using Gaussian processes (GPs) to detect Damped Lyman- absorbers (DLAs) along quasar (QSO) sightlines. The main improveme…