Jihao Andreas Lin
5 papers · 2021–2025 · 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
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(13)
Venues
Top co-authors
Research topics
Machine Learning
(4)
Artificial Intelligence
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Core Methods
(3)
Optimization & Theory · Machine Learning
(3)
Mathematics & Optimization
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Optimization
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Application Areas
(1)
Learning Paradigms
(1)
Methods
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
gaussian process
(3)
stochastic gradient descent
(2)
bayesian optimization
(2)
uncertainty quantification
(2)
posterior sampling
(1)
marginal likelihood
(1)
conjugate gradient
(1)
kronecker product
(1)
out-of-distribution detection
(1)
linear system
(1)
bayesian neural network
(1)
linear system solver
(1)
inducing point
(1)
large dataset
(1)
bayesian optimisation
(1)
kernel methods
(1)
bayesian last layer
(1)
linear solver
(1)
pathwise conditioning
(1)
iterative linear system solvers
(1)
Papers
Scalable Gaussian Processes with Latent Kronecker Structure
ICML 2025
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes
NeurIPS 2024
Stochastic Gradient Descent for Gaussian Processes Done Right
ICLR 2024
Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent
NeurIPS 2023
Latent Derivative Bayesian Last Layer Networks
AISTATS 2021