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D
Daniel Hernández-Lobato
Universidad Carlos III de Madrid
24
H指数
98
论文数
2.2K
被引数
0
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23
发表时间
发表时间
IF
被引数
Impact of evaluation noise in the context of multi-objective Bayesian optimization with the intrinsic coregionalization model
基于内在共域化模型的多目标贝叶斯优化中评估噪声的影响
Neurocomputing
IF
6.5
2026-07-01
0
PRE
AI
Fernandez-Sanchez, Daniel; Sevilla-Salcedo, Carlos; Gomez-Verdejo, Vanessa; Hernandez-Lobato, Daniel
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Robust-multi-task gradient boosting
EXPERT SYSTEMS WITH APPLICATIONS
IF
7.5
2026-01-21
0
OA
AI
Emami, Seyedsaman; Martinez-Munoz, Gonzalo; Hernandez-Lobato, Daniel
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Joint entropy search for multi-objective Bayesian optimization with constraints and multiple fidelities
约束和多精度下多目标贝叶斯优化的联合熵搜索
Neurocomputing
IF
6.5
2025-09-26
0
OA
AI
Daniel Fernández-Sánchez; Daniel Hernández-Lobato
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Improved max-value entropy search for multi-objective bayesian optimization with constraints
NEUROCOMPUTING
IF
6.5
2023-08-01
5
OA
AI
Fernandez-Sanchez, Daniel; Garrido-Merchan, Eduardo C.; Hernandez-Lobato, Daniel
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Gaussian processes for missing value imputation
KNOWLEDGE-BASED SYSTEMS
IF
7.6
2023-08-01
7
OA
AI
Jafrasteh, Bahram; Hernandez-Lobato, Daniel; Lubian-Lopez, Simon Pedro; Benavente-Fernandez, Isabel
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Parallel predictive entropy search for multi-objective Bayesian optimization with constraints applied to the tuning of machine learning algorithms
EXPERT SYSTEMS WITH APPLICATIONS
IF
7.5
2023-04-01
12
PRE
AI
Garrido-Merchan, Eduardo C.; Fernandez-Sanchez, Daniel; Hernandez-Lobato, Daniel
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Alpha-divergence minimization for deep Gaussian processes
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
IF
3
2022-11-01
0
OA
AI
Villacampa-Calvo, Carlos; Hernandez-Munoz, Gonzalo; Hernandez-Lobato, Daniel
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Adversarial α-divergence minimization for Bayesian approximate inference
贝叶斯近似推理的对抗性 α-散度最小化
NEUROCOMPUTING
IF
6.5
2022-01-01
6
OA
AI
Rodriguez-Santana, Simon; Hernandez-Lobato, Daniel
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Inference over radiative transfer models using variational and expectation maximization methods
MACHINE LEARNING
IF
2.9
2021-06-08
2
OA
AI
Svendsen, Daniel Heestermans; Hernandez-Lobato, Daniel; Martino, Luca; Laparra, Valero; Moreno-Martinez, Alvaro; Camps-Valls, Gustau
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Dealing with categorical and integer-valued variables in Bayesian Optimization with Gaussian processes
用高斯过程处理贝叶斯优化中的分类和整数值变量
NEUROCOMPUTING
IF
6.5
2020-03-01
151
OA
AI
Garrido-Merchan, Eduardo C.; Hernandez-Lobato, Daniel
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Alpha divergence minimization in multi-class Gaussian process classification
NEUROCOMPUTING
IF
6.5
2020-02-01
8
OA
AI
Villacampa-Calvo, Carlos; Hernandez-Lobato, Daniel
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Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints
NEUROCOMPUTING
IF
6.5
2019-10-01
35
OA
AI
Garrido-Merchan, Eduardo C.; Hernandez-Lobato, Daniel
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Bayesian optimization of a hybrid system for robust ocean wave features prediction
NEUROCOMPUTING
IF
6.5
2018-01-01
52
OA
AI
Cornejo-Bueno, L.; Garrido-Merchan, E. C.; Hernandez-Lobato, D.; Salcedo-Sanz, S.
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Special Issue on Solving complex machine learning problems with ensemble methods
NEUROCOMPUTING
IF
6.5
2015-02-01
0
PRE
AI
Hernandez-Lobato, Daniel; Katakis, Ioannis; Martinez-Munoz, Gonzalo; Partalas, Ioannis
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Expectation propagation in linear regression models with spike-and-slab priors
MACHINE LEARNING
IF
2.9
2014-12-10
53
OA
AI
Miguel Hernandez-Lobato, Jose; Hernandez-Lobato, Daniel; Suarez, Alberto
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A Double Pruning Scheme for Boosting Ensembles
IEEE TRANSACTIONS ON CYBERNETICS
IF
10.5
2014-12-01
21
PRE
AI
Soto, Victor; Garcia-Moratilla, Sergio; Martinez-Munoz, Gonzalo; Hernandez-Lobato, Daniel; Suarez, Alberto
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How large should ensembles of classifiers be?
PATTERN RECOGNITION
IF
7.6
2013-05-01
47
OA
AI
Hernandez-Lobato, Daniel; Martinez-Munoz, Gonzalo; Suarez, Alberto
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Inference on the prediction of ensembles of infinite size
PATTERN RECOGNITION
IF
7.6
2011-07-01
5
OA
AI
Hernandez-Lobato, Daniel; Martinez-Munoz, Gonzalo; Suarez, Alberto
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Empirical analysis and evaluation of approximate techniques for pruning regression bagging ensembles
NEUROCOMPUTING
IF
6.5
2011-06-01
30
OA
AI
Hernandez-Lobato, Daniel; Martinez-Munoz, Gonzalo; Suarez, Alberto
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Network-based sparse Bayesian classification
PATTERN RECOGNITION
IF
7.6
2011-04-01
13
PRE
AI
Miguel Hernandez-Lobato, Jose; Hernandez-Lobato, Daniel; Suarez, Alberto
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研究方向
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合作学者
合作期刊
G
Gustau Camps‐Valls
H 指数: 89 · 论文数: 729
S
Sancho Salcedo‐Sanz
H 指数: 60 · 论文数: 509
J
José Miguel Hernández-Lobato
H 指数: 39 · 论文数: 258
L
Luca Martino
H 指数: 36 · 论文数: 241
Á
Álvaro Moreno‐Martínez
H 指数: 29 · 论文数: 111
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