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Ungredda, Juan
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1

Bayesian Optimisation for Constrained Problems:

Ungredda, Juan ; Branke, Juergen
ACM Transactions on Modeling and Computer Simulation.  34 (2024)  2 - p. 1-26 , 2024
Link: https://doi.org/10.1145/..
 
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2

When to Elicit Preferences in Multi-Objective Bayesian Opti..:

, In: Proceedings of the Companion Conference on Genetic and Evolutionary Computation,
Ungredda, Juan ; Branke, Juergen - p. 1997-2003 , 2023
Link: https://dl.acm.org/doi/1..
 
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3

Bayesian Optimisation vs. Input Uncertainty Reduction:

Ungredda, Juan ; Pearce, Michael ; Branke, Juergen
ACM Transactions on Modeling and Computer Simulation.  32 (2022)  3 - p. 1-26 , 2022
Link: https://doi.org/10.1145/..
 
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4

Single Interaction Multi-Objective Bayesian Optimization:

, In: Lecture Notes in Computer Science; Parallel Problem Solving from Nature – PPSN XVII,
Ungredda, Juan ; Branke, Juergen ; Marchi, Mariapia. - p. 132-145 , 2022
Link: https://doi.org/10.1007/..
 
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5

One step preference elicitation in multi-objective Bayesian..:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Ungredda, Juan ; Branke, Juergen ; Marchi, Mariapia. - p. 195-196 , 2021
Link: https://dl.acm.org/doi/1..
 
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6

Efficient computation of the Knowledge Gradient for Bayesia..:

Ungredda, Juan ; Pearce, Michael ; Branke, Juergen
http://arxiv.org/abs/2209.15367.  , 2022
Link: http://arxiv.org/abs/220..
 
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7

One Step Preference Elicitation in Multi-Objective Bayesian..:

Ungredda, Juan ; Marchi, Mariapia ; Montrone, Teresa.
http://arxiv.org/abs/2105.13278.  , 2021
Link: http://arxiv.org/abs/210..
 
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8

Bayesian Optimisation for Constrained Problems:

Ungredda, Juan ; Branke, Juergen
http://arxiv.org/abs/2105.13245.  , 2021
Link: http://arxiv.org/abs/210..
 
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9

Bayesian Optimisation vs. Input Uncertainty Reduction:

Ungredda, Juan ; Pearce, Michael ; Branke, Juergen
http://arxiv.org/abs/2006.00643.  , 2020
Link: http://arxiv.org/abs/200..
 
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