Roman Garnett
33 papers · 2012–2024 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (52) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Trendsetter Combo
(3)
π¬
Deep Specialist
(16)
π
Keyword Champion
(8)
π§
Keyword Pioneer
π
Trend Setter
π
Conference Pioneer
ποΈ
Keyword Collector
(147)
π₯
Unstoppable Β· Silver
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Century Club Β· Bronze
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Renaissance Researcher
(6)
Top co-authors
Research topics
Machine Learning
(28)
Optimization & Theory
(20)
Artificial Intelligence
(16)
Learning Types
(15)
Mathematics & Optimization
(13)
Bayesian & Probabilistic Β· Artificial Intelligence
(13)
Bayesian & Probabilistic Β· Machine Learning
(13)
Optimization
(10)
Learning Paradigms
(8)
Core Methods
(6)
Mathematics
(5)
Healthcare & Medicine
(3)
Application Areas
(3)
Clinical
(3)
Data Science & Analytics
(2)
Keywords
active learning
(14)
bayesian optimization
(14)
gaussian process
(9)
bayesian quadrature
(8)
active search
(5)
model selection
(4)
numerical integration
(3)
markov chain monte carlo
(3)
marginal likelihood
(3)
probabilistic model
(2)
local optimization
(2)
black-box optimization
(2)
model evidence
(2)
kernel selection
(2)
global optimization
(2)
importance sampling
(2)
exploration exploitation
(2)
uncertainty quantification
(2)
hyperparameter tuning
(2)
nonmyopic policy
(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
NeurIPS 2024
A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel Data
AISTATS 2023
Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery
AISTATS 2023
The Behavior and Convergence of Local Bayesian Optimization
NeurIPS 2023
Local Bayesian optimization via maximizing probability of descent
NeurIPS 2022
Nonmyopic Multifidelity Acitve Search
ICML 2021
Scarce Societal Resource Allocation and the Price of (Local) Justice
AAAI 2021
BINOCULARS for efficient, nonmyopic sequential experimental design
ICML 2020
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees
NeurIPS 2020
GPIRT: A Gaussian Process Model for Item Response Theory
UAI 2020
Automated Model Selection with Bayesian Quadrature
ICML 2019
Cost Effective Active Search
NeurIPS 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
NeurIPS 2019
Improving Quadrature for Constrained Integrands
AISTATS 2019
Automating Bayesian optimization with Bayesian optimization
NeurIPS 2018
Efficient nonmyopic batch active search
NeurIPS 2018
Discovering and Exploiting Additive Structure for Bayesian Optimization
AISTATS 2017
Efficient Nonmyopic Active Search
ICML 2017
BASC: Applying Bayesian Optimization to the Search for Global Minima on Potential Energy Surfaces
ICML 2016
Bayesian optimization for automated model selection
NeurIPS 2016
Bayesian optimization for automated model selection
AutoML 2016
Active Pointillistic Pattern Search
AISTATS 2015
Bayesian Active Model Selection with an Application to Automated Audiometry
NeurIPS 2015
Differentially Private Bayesian Optimization
ICML 2015
Finding Galaxies in the Shadows of Quasars with Gaussian Processes
ICML 2015
Active Area Search via Bayesian Quadrature
AISTATS 2014
Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature
NeurIPS 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
NeurIPS 2013
Active Learning of Model Evidence Using Bayesian Quadrature
NeurIPS 2012
Bayesian Quadrature for Ratios
AISTATS 2012