Victor Picheny

48 papers A* 2A 4C 1Journal 37Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Omnipresent Yet Overlooked: Heat Kernels in Combinatorial Bayesian Optimization. CoRR Colin Doumont, Victor Picheny, Viacheslav Borovitskiy, Henry B. Moss
2023	—	`ch.`	A Game Theoretic Perspective on Bayesian Many-Objective Optimization. Many-Criteria Optimization and Decision Analysis Mickaël Binois, Abderrahmane Habbal, Victor Picheny
2023	A	`conf`	Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation. AISTATS Henry B. Moss, Sebastian W. Ober, Victor Picheny
2023	J	`jnl`	Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation. CoRR Henry B. Moss, Sebastian W. Ober, Victor Picheny
2023	A*	`conf`	Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes. ICML Louis C. Tiao, Vincent Dutordoir, Victor Picheny
2023	J	`jnl`	Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes. CoRR Louis C. Tiao, Vincent Dutordoir, Victor Picheny
2023	J	`jnl`	TREGO: a trust-region framework for efficient global optimization. J. Glob. Optim. Youssef Diouane, Victor Picheny, Rodolphe Le Riche, Alexandre Scotto Di Perrotolo
2023	J	`jnl`	Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow. CoRR Victor Picheny, Joel Berkeley, Henry B. Moss, Hrvoje Stojic, Uri Granta, Sebastian W. Ober, Artem Artemev, Khurram Ghani, Alexander Goodall, Andrei Paleyes, Sattar Vakili, Sergio Pascual-Diaz, Stratis Markou, Jixiang Qing, Nasrulloh R. B. S. Loka, Ivo Couckuyt
2022	J	`jnl`	A penalisation method for batch multi-objective Bayesian optimisation with application in heat exchanger design. CoRR Andrei Paleyes, Henry B. Moss, Victor Picheny, Piotr Zulawski, Felix Newman
2022	A	`conf`	Bayesian quantile and expectile optimisation. UAI Victor Picheny, Henry B. Moss, Léeonard Torossian, Nicolas Durrande
2022	J	`jnl`	Fantasizing with Dual GPs in Bayesian Optimization and Active Learning. CoRR Paul E. Chang, Prakhar Verma, S. T. John, Victor Picheny, Henry B. Moss, Arno Solin
2022	J	`jnl`	Information-theoretic Inducing Point Placement for High-throughput Bayesian Optimisation. CoRR Henry B. Moss, Sebastian W. Ober, Victor Picheny
2021	A	`conf`	On Information Gain and Regret Bounds in Gaussian Process Bandits. AISTATS Sattar Vakili, Kia Khezeli, Victor Picheny
2021	A*	`conf`	Scalable Thompson Sampling using Sparse Gaussian Process Models. NeurIPS Sattar Vakili, Henry B. Moss, Artem Artemev, Vincent Dutordoir, Victor Picheny
2020	J	`jnl`	A review on quantile regression for stochastic computer experiments. Reliab. Eng. Syst. Saf. Léonard Torossian, Victor Picheny, Robert Faivre, Aurélien Garivier
2020	—	`conf`	Automatic Tuning of Stochastic Gradient Descent with Bayesian Optimisation. ECML/PKDD (3) Victor Picheny, Vincent Dutordoir, Artem Artemev, Nicolas Durrande
2020	J	`jnl`	Automatic Tuning of Stochastic Gradient Descent with Bayesian Optimisation. CoRR Victor Picheny, Vincent Dutordoir, Artem Artemev, Nicolas Durrande
2020	J	`jnl`	Bayesian Quantile and Expectile Optimisation. CoRR Léonard Torossian, Victor Picheny, Nicolas Durrande
2020	J	`jnl`	Gaussian process optimization with failures: classification and convergence proof. J. Glob. Optim. François Bachoc, Céline Helbert, Victor Picheny
2020	J	`jnl`	On Information Gain and Regret Bounds in Gaussian Process Bandits. CoRR Sattar Vakili, Kia Khezeli, Victor Picheny
2020	J	`jnl`	Regret Bounds for Noise-Free Bayesian Optimization. CoRR Sattar Vakili, Victor Picheny, Nicolas Durrande
2020	J	`jnl`	Scalable Thompson Sampling using Sparse Gaussian Process Models. CoRR Sattar Vakili, Henry B. Moss, Victor Picheny, Vincent Dutordoir, Artem Artemev
2020	J	`jnl`	Targeting solutions in Bayesian multi-objective optimization: sequential and batch versions. Ann. Math. Artif. Intell. David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoît Enaux, Vincent Herbert
2020	J	`jnl`	The Kalai-Smorodinsky solution for many-objective Bayesian optimization. J. Mach. Learn. Res. Mickaël Binois, Victor Picheny, Patrick Taillandier, Abderrahmane Habbal
2019	C	`conf`	$\mathcal{X}$-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks. ACML Léonard Torossian, Aurélien Garivier, Victor Picheny
2019	J	`jnl`	A Bayesian optimization approach to find Nash equilibria. J. Glob. Optim. Victor Picheny, Mickaël Binois, Abderrahmane Habbal
2019	J	`jnl`	A Review on Quantile Regression for Stochastic Computer Experiments. CoRR Léonard Torossian, Victor Picheny, Robert Faivre, Aurélien Garivier
2019	J	`jnl`	Interpretable sparse SIR for functional data. Stat. Comput. Victor Picheny, Rémi Servien, Nathalie Villa-Vialaneix
2019	J	`jnl`	Modeling and Optimization with Gaussian Processes in Reduced Eigenbases - Extended Version. CoRR David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoît Enaux, Vincent Herbert
2019	J	`jnl`	Ordinal Bayesian Optimisation. CoRR Victor Picheny, Sattar Vakili, Artem Artemev
2019	J	`jnl`	X-Armed Bandits: Optimizing Quantiles and Other Risks. CoRR Léonard Torossian, Aurélien Garivier, Victor Picheny
2018	J	`jnl`	Budgeted Multi-Objective Optimization with a Focus on the Central Part of the Pareto Front - Extended Version. CoRR David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoît Enaux, Vincent Herbert
2018	J	`jnl`	Correction to: Inferring large graphs using ℓ Stat. Comput. Magali Champion, Victor Picheny, Matthieu Vignes
2018	J	`jnl`	Inferring large graphs using ℓ Stat. Comput. Magali Champion, Victor Picheny, Matthieu Vignes
2018	J	`jnl`	Targeting Solutions in Bayesian Multi-Objective Optimization: Sequential and Parallel Versions. CoRR David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoît Enaux, Vincent Herbert
2018	—	`conf`	Targeting Well-Balanced Solutions in Multi-Objective Bayesian Optimization Under a Restricted Budget. LION David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoît Enaux, Vincent Herbert
2017	J	`jnl`	Comparison of Kriging-based algorithms for simulation optimization with heterogeneous noise. Eur. J. Oper. Res. Hamed Jalali, Inneke Van Nieuwenhuyse, Victor Picheny
2016	—	`conf`	Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian. NIPS Victor Picheny, Robert B. Gramacy, Stefan M. Wild, Sébastien Le Digabel
2016	J	`jnl`	Comment: Some Enhancements Over the Augmented Lagrangian Approach. Technometrics Victor Picheny, David Ginsbourger, Tipaluck Krityakierne
2015	J	`jnl`	Multiobjective optimization using Gaussian process emulators via stepwise uncertainty reduction. Stat. Comput. Victor Picheny
2014	A	`conf`	A Stepwise uncertainty reduction approach to constrained global optimization. AISTATS Victor Picheny
2014	J	`jnl`	Fast Parallel Kriging-Based Stepwise Uncertainty Reduction With Application to the Identification of an Excursion Set. Technometrics Clément Chevalier, Julien Bect, David Ginsbourger, Emmanuel Vázquez, Victor Picheny, Yann Richet
2014	J	`jnl`	KrigInv: An efficient and user-friendly implementation of batch-sequential inversion strategies based on kriging. Comput. Stat. Data Anal. Clément Chevalier, Victor Picheny, David Ginsbourger
2014	J	`jnl`	Noisy kriging-based optimization methods: A unified implementation within the DiceOptim package. Comput. Stat. Data Anal. Victor Picheny, David Ginsbourger
2013	J	`jnl`	A Nonstationary Space-Time Gaussian Process Model for Partially Converged Simulations. SIAM/ASA J. Uncertain. Quantification Victor Picheny, David Ginsbourger
2013	J	`jnl`	Quantile-Based Optimization of Noisy Computer Experiments With Tunable Precision. Technometrics Victor Picheny, David Ginsbourger, Yann Richet, Gregory Caplin
2013	J	`jnl`	Rejoinder. Technometrics Victor Picheny, David Ginsbourger, Yann Richet, Gregory Caplin
2012	J	`jnl`	Sequential design of computer experiments for the estimation of a probability of failure. Stat. Comput. Julien Bect, David Ginsbourger, Ling Li, Victor Picheny, Emmanuel Vázquez