Javier Gonzalez
26 papers
· 2016–2026
· 8 conferences
· across top CS/AI conferences
Achievements
π§
Keyword Pioneer
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Renaissance Researcher
(7)
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Cross-Pollinator
(13)
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Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(34)
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Conference Polyglot
(7)
π£
Hot Topic Early Bird
π
Academic Marathon
(9)
π¬
Deep Specialist
(12)
π₯
Unstoppable
(7)
β‘
Prolific Year
(5)
π
Conference Pioneer
π
Century Club
(25)
β
The Questioner
π
Trend Setter
ποΈ
Keyword Collector
(80)
Conferences
ICML (7)
NIPS (7)
AISTATS (6)
CLEAR (2)
EACL (1)
ICLR (1)
JMLR (1)
UAI (1)
Top co-authors
Keywords
bayesian optimization
(11)
gaussian process
(8)
causal inference
(4)
acquisition function
(3)
multi-task learning
(2)
kernel mean embedding
(2)
causal bayesian optimization
(2)
active learning
(2)
batch optimization
(2)
preference learning
(2)
uncertainty quantification
(2)
large language model
(2)
hyperparameter optimization
(2)
bayesian quadrature
(2)
surrogate model
(2)
reproducing kernel hilbert space
(2)
global optimization
(1)
sentiment analysis
(1)
feature attribution
(1)
cultural nuance
(1)
Papers
Dynamic Causal Bayesian Optimization
NIPS 2021
Causal Bayesian Optimization
AISTATS 2020
Preferential Bayesian Optimization
ICML 2017
Batch Bayesian Optimization via Local Penalization
AISTATS 2016