Victor Picheny
9 papers · 2014–2023 · 6 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🏃 Academic Marathon (9) 🗺️ Taxonomy Completionist (21)
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Cross-Pollinator
(14)
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(5)
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Conferences
AISTATS (3)
NIPS (2)
ACML (1)
ICML (1)
JMLR (1)
UAI (1)
Top co-authors
Keywords
gaussian process
(6)
bayesian optimization
(5)
regret bound
(2)
variational inference
(1)
constrained optimization
(1)
orthogonal decomposition
(1)
sequential decision making
(1)
global optimization
(1)
quantile regression
(1)
sparse approximation
(1)
uncertainty reduction
(1)
game-theoretic solution
(1)
gaussian process prior
(1)
thompson sampling
(1)
determinantal point process
(1)
gaussian processes
(1)
multi-objective optimization
(1)
quantile optimization
(1)
black-box optimization
(1)
stochastic optimization
(1)
Papers
Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes
ICML 2023
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation
AISTATS 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
NIPS 2021
The Kalai-Smorodinsky solution for many-objective Bayesian optimization
JMLR 2020
$\mathcal{X}$-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks
ACML 2019
Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian
NIPS 2016
A Stepwise uncertainty reduction approach to constrained global optimization
AISTATS 2014