Roman Garnett
33 papers · 2012–2024 · 8 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (18) π£ Hot Topic Early Bird
π
Academic Marathon
(12)
π§
Keyword Pioneer
π
Conference Polyglot
(8)
π
Keyword Trendsetter Combo
(3)
π¬
Deep Specialist
(15)
π
Keyword Champion
(2)
π
Century Club
(33)
π
Trend Setter
π
Conference Pioneer
π₯
Unstoppable
(13)
ποΈ
Keyword Collector
(58)
Conferences
NIPS (13)
AISTATS (8)
ICML (7)
AAAI (1)
ACML (1)
AUTOML (1)
UAI (1)
WACV (1)
Top co-authors
Research topics
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