Edwin V. Bonilla
31 papers · 1999–2025 · 6 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 17 separate collaboration groups - the largest holds only 23% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Edwin V. Bonilla?
6 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 Amir Dezfouli, He Zhao, Vy Vo
7 papers
· 2015–2025
· ICML, JMLR, NeurIPS
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Rényi Neural Processes
ICML 2025
Optimal Transport for Structure Learning Under Missing Data
ICML 2024
Parameter Estimation in DAGs from Incomplete Data via Optimal Transport
ICML 2024
Transformed Distribution Matching for Missing Value Imputation
ICML 2023
Optimizing Sequential Experimental Design with Deep Reinforcement Learning
ICML 2022
Generic Inference in Latent Gaussian Process Models
JMLR 2019
Scalable Inference for Gaussian Process Models with Black-Box Likelihoods
NeurIPS 2015
11 papers whose co-authors appear nowhere else under this name
Variational Learning of Fractional Posteriors
ICML 2025
Contextual Directed Acyclic Graphs
AISTATS 2024
Free-Form Variational Inference for Gaussian Process State-Space Models
ICML 2023
Recurrent Neural Networks and Universal Approximation of Bayesian Filters
AISTATS 2023
Quantile Propagation for Wasserstein-Approximate Gaussian Processes
NeurIPS 2020
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings
NeurIPS 2020
Automated Variational Inference for Gaussian Process Models
NeurIPS 2014
Extended and Unscented Gaussian Processes
NeurIPS 2014
Improving Topic Coherence with Regularized Topic Models
NeurIPS 2011
Multi-task Gaussian Process Prediction
NeurIPS 2007
Kernel Multi-task Learning using Task-specific Features
AISTATS 1999