← Authors

Roman Garnett

33 papers · 2012–2024 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (15) πŸ—ΊοΈ Taxonomy Completionist (18) πŸƒ Academic Marathon (12) 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🌟 Keyword Trendsetter Combo (3) πŸ”¬ Deep Specialist (15) πŸ† Keyword Champion (2) πŸ’Ž Century Club (33) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (13) πŸ—ƒοΈ Keyword Collector (58)

Conferences

NIPS (13) AISTATS (8) ICML (7) AAAI (1) ACML (1) AUTOML (1) UAI (1) WACV (1)

Top co-authors

Gustavo Malkomes (6) Shali Jiang (6) Jacob Gardner (6) Jeff Schneider (4) Quan Nguyen (4) Benjamin Moseley (3) Jacob Montgomery (3) Yifei Ma (3) Henry Chai (2) Kaiwen Wu (2)

Research topics

Optimization (1) Differential Privacy (1)

Keywords

active learning (14) bayesian optimization (14) gaussian process (9) bayesian quadrature (8) active search (5) model selection (4) numerical integration (3) marginal likelihood (3) markov chain monte carlo (3) local optimization (2) model evidence (2) nonmyopic policy (2) black-box optimization (2) probabilistic model (2) hyperparameter tuning (2) uncertainty quantification (2) global optimization (2) importance sampling (2) exploration exploitation (2) kernel methods (2)

Papers

A Greedy Approximation for k-Determinantal Point Processes AISTATS 2024
A Visual Active Search Framework for Geospatial Exploration WACV 2024
Idiographic Personality Gaussian Process for Psychological Assessment NIPS 2024
The Behavior and Convergence of Local Bayesian Optimization NIPS 2023
Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery AISTATS 2023
A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel Data AISTATS 2023
Local Bayesian optimization via maximizing probability of descent NIPS 2022
Scarce Societal Resource Allocation and the Price of (Local) Justice AAAI 2021
Nonmyopic Multifidelity Acitve Search ICML 2021
GPIRT: A Gaussian Process Model for Item Response Theory UAI 2020
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees NIPS 2020
BINOCULARS for efficient, nonmyopic sequential experimental design ICML 2020
Cost Effective Active Search NIPS 2019
Improving Quadrature for Constrained Integrands AISTATS 2019
Automated Model Selection with Bayesian Quadrature ICML 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs NIPS 2019
Automating Bayesian optimization with Bayesian optimization NIPS 2018
Efficient nonmyopic batch active search NIPS 2018
Efficient Nonmyopic Active Search ICML 2017
Discovering and Exploiting Additive Structure for Bayesian Optimization AISTATS 2017
Bayesian optimization for automated model selection AUTOML 2016
Bayesian optimization for automated model selection NIPS 2016
BASC: Applying Bayesian Optimization to the Search for Global Minima on Potential Energy Surfaces ICML 2016
Bayesian Active Model Selection with an Application to Automated Audiometry NIPS 2015
Differentially Private Bayesian Optimization ICML 2015
Finding Galaxies in the Shadows of Quasars with Gaussian Processes ICML 2015
Active Pointillistic Pattern Search AISTATS 2015
Active Area Search via Bayesian Quadrature AISTATS 2014
Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature NIPS 2014
Coinciding Walk Kernels: Parallel Absorbing Random Walks for Learning with Graphs and Few Labels ACML 2013
Ξ£-Optimality for Active Learning on Gaussian Random Fields NIPS 2013
Bayesian Quadrature for Ratios AISTATS 2012
Active Learning of Model Evidence Using Bayesian Quadrature NIPS 2012