Raul Astudillo

According to our database1, Raul Astudillo authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Cost-aware Bayesian optimization via the Pandora's Box Gittins index.
CoRR, 2024

Preferential Multi-Objective Bayesian Optimization.
CoRR, 2024

Bayesian Optimization of Function Networks with Partial Evaluations.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Thinking Inside the Box: A Tutorial on Grey-Box Bayesian Optimization.
Proceedings of the Winter Simulation Conference, 2021

Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Bayesian Optimization of Function Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Bayesian Optimization of Risk Measures.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Multi-attribute Bayesian optimization with interactive preference learning.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Bayesian Optimization with Uncertain Preferences over Attributes.
CoRR, 2019

Bayesian Optimization of Composite Functions.
Proceedings of the 36th International Conference on Machine Learning, 2019


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