Javier Gonzalez
26 papers · 2016–2026 · 8 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 31% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Javier Gonzalez?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Zhenwen Dai, Neil Lawrence, Virginia Aglietti
8 papers
· 2016–2021
· NeurIPS, AISTATS, ICML
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Dynamic Causal Bayesian Optimization
NeurIPS 2021
Causal Bayesian Optimization
AISTATS 2020
Multi-task Causal Learning with Gaussian Processes
NeurIPS 2020
Meta-Surrogate Benchmarking for Hyperparameter Optimization
NeurIPS 2019
Structured Variationally Auto-encoded Optimization
ICML 2018
Preferential Bayesian Optimization
ICML 2017
Batch Bayesian Optimization via Local Penalization
AISTATS 2016
GLASSES: Relieving The Myopia Of Bayesian Optimisation
AISTATS 2016
7 papers whose co-authors appear nowhere else under this name
Beyond Flatland: A Geometric Take on Matching Methods for Treatment Effect Estimation
CLeaR 2025
Safe Exploration in Dose Finding Clinical Trials with Heterogeneous Participants
ICML 2024
Predicting the impact of treatments over time with uncertainty aware neural differential equations.
AISTATS 2022
BINOCULARS for efficient, nonmyopic sequential experimental design
ICML 2020
Bandit optimisation of functions in the Matérn kernel RKHS
AISTATS 2020
Active Multi-Information Source Bayesian Quadrature
UAI 2019
Bayesian Optimization with Tree-structured Dependencies
ICML 2017