Picheny, Victor

12 publications

NeurIPS 2025 Omnipresent yet Overlooked: Heat Kernels in Combinatorial Bayesian Optimization Colin Doumont, Victor Picheny, Viacheslav Borovitskiy, Henry Moss

NeurIPSW 2024 Trieste: Efficiently Exploring the Depths of Black-Box Functions with TensorFlow Henry Moss, Victor Picheny, Hrvoje Stojic, Sebastian W. Ober, Artem Artemev, Andrei Paleyes, Sattar Vakili, Stratis Markou, Jixiang Qing, Nasrulloh Ratu Bagus Satrio Loka, Ivo Couckuyt

AISTATS 2023 Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation Henry B. Moss, Sebastian W. Ober, Victor Picheny

ICML 2023 Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes Louis C. Tiao, Vincent Dutordoir, Victor Picheny

UAI 2022 Bayesian Quantile and Expectile Optimisation Victor Picheny, Henry Moss, Léonard Torossian, Nicolas Durrande

AISTATS 2021 On Information Gain and Regret Bounds in Gaussian Process Bandits Sattar Vakili, Kia Khezeli, Victor Picheny

NeurIPS 2021 Scalable Thompson Sampling Using Sparse Gaussian Process Models Sattar Vakili, Henry Moss, Artem Artemev, Vincent Dutordoir, Victor Picheny

ECML-PKDD 2020 Automatic Tuning of Stochastic Gradient Descent with Bayesian Optimisation Victor Picheny, Vincent Dutordoir, Artem Artemev, Nicolas Durrande

JMLR 2020 The Kalai-Smorodinsky Solution for Many-Objective Bayesian Optimization Mickael Binois, Victor Picheny, Patrick Taillandier, Abderrahmane Habbal

ACML 2019 $\mathcal{X}$-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks Léonard Torossian, Aurélien Garivier, Victor Picheny

NeurIPS 2016 Bayesian Optimization Under Mixed Constraints with a Slack-Variable Augmented Lagrangian Victor Picheny, Robert B. Gramacy, Stefan Wild, Sebastien Le Digabel

AISTATS 2014 A Stepwise Uncertainty Reduction Approach to Constrained Global Optimization Victor Picheny