ST John
8 papers · 2018–2023 · 4 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (4) 🏃 Academic Marathon (5)
🐝
Cross-Pollinator
(14)
🗺️
Taxonomy Completionist
(18)
Conferences
NIPS (4)
AISTATS (2)
ICML (1)
UAI (1)
Top co-authors
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
Thin and deep Gaussian processes
NIPS 2023
Practical Equivariances via Relational Conditional Neural Processes
NIPS 2023
Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions
NIPS 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
NIPS 2018