ST John
8 papers · 2018–2023 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(17)
🏆
Keyword Champion
(2)
Venues
Top co-authors
Research topics
Artificial Intelligence
(7)
Machine Learning
(7)
Bayesian & Probabilistic · Artificial Intelligence
(6)
Optimization & Theory · Machine Learning
(4)
Core Methods
(3)
Bayesian & Probabilistic · Machine Learning
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Core AI
(1)
Learning Paradigms
(1)
Mathematics
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
gaussian process
(4)
variational inference
(3)
point process
(2)
deep gaussian process
(2)
bayesian inference
(2)
cox process
(2)
uncertainty quantification
(2)
marginal likelihood
(1)
monte carlo estimation
(1)
time series
(1)
invariance learning
(1)
variance reduction
(1)
poisson process
(1)
amortized inference
(1)
control variate
(1)
fourier feature
(1)
intensity function
(1)
graph kernel
(1)
recognition network
(1)
latent embedding
(1)
Papers
Practical Equivariances via Relational Conditional Neural Processes
NeurIPS 2023
Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions
NeurIPS 2023
Thin and deep Gaussian processes
NeurIPS 2023
Non-separable Spatio-temporal Graph Kernels via SPDEs
AISTATS 2022
Amortized variance reduction for doubly stochastic objective
UAI 2020
Gaussian Process Modulated Cox Processes under Linear Inequality Constraints
AISTATS 2019
Large-Scale Cox Process Inference using Variational Fourier Features
ICML 2018
Learning Invariances using the Marginal Likelihood
NeurIPS 2018