Neill Campbell
8 papers · 2019–2022 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(14)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Artificial Intelligence
(6)
Bayesian & Probabilistic · Artificial Intelligence
(6)
Machine Learning
(5)
Optimization & Theory · Machine Learning
(4)
Data Science & Analytics
(2)
Deep Learning
(2)
Methods
(2)
Computer Vision
(1)
Analysis
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core AI
(1)
Core Methods
(1)
Learning Types
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
gaussian process
(5)
variational inference
(2)
latent variable model
(2)
bayesian inference
(2)
bayesian nonparametrics
(1)
uncertainty quantification
(1)
sequential decision making
(1)
energy minimization
(1)
posterior sampling
(1)
posterior distribution
(1)
temporal alignment
(1)
implicit differentiation
(1)
bayesian optimization
(1)
latent variable
(1)
inverse problem
(1)
missing data imputation
(1)
time series alignment
(1)
surrogate model
(1)
stochastic differential equation
(1)
energy-based model
(1)
Papers
Aligned Multi-Task Gaussian Process
AISTATS 2022
Black-box density function estimation using recursive partitioning
ICML 2021
Compositional uncertainty in deep Gaussian processes
UAI 2020
Modulating Surrogates for Bayesian Optimization
ICML 2020
Monotonic Gaussian Process Flows
AISTATS 2020
DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures
ICML 2019
Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions
NeurIPS 2019
Gaussian Process Latent Variable Alignment Learning
AISTATS 2019