Victor Picheny
9 papers · 2014–2023 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (24) 🐣 Hot Topic Early Bird
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Unstoppable · Bronze
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Machine Learning
(8)
Optimization & Theory
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Mathematics & Optimization
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Optimization
(6)
Artificial Intelligence
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Bayesian & Probabilistic · Machine Learning
(3)
Bayesian & Probabilistic · Artificial Intelligence
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bayesian optimization
(6)
gaussian process
(6)
regret bound
(3)
black-box optimization
(1)
sequential decision making
(1)
constrained optimization
(1)
gaussian processes
(1)
determinantal point process
(1)
global optimization
(1)
quantile regression
(1)
sparse approximation
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expected improvement
(1)
uncertainty reduction
(1)
game-theoretic solution
(1)
thompson sampling
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orthogonal decomposition
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variational inference
(1)
gaussian process prior
(1)
multi-objective optimization
(1)
stochastic optimization
(1)
Papers
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation
AISTATS 2023
Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes
ICML 2023
Bayesian quantile and expectile optimisation
UAI 2022
On Information Gain and Regret Bounds in Gaussian Process Bandits
AISTATS 2021
Scalable Thompson Sampling using Sparse Gaussian Process Models
NeurIPS 2021
The Kalai-Smorodinsky solution for many-objective Bayesian optimization
JMLR 2020
X-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks
ACML 2019
Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian
NeurIPS 2016
A Stepwise uncertainty reduction approach to constrained global optimization
AISTATS 2014