Jihao Andreas Lin
5 papers · 2021–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🧭
Keyword Pioneer
🌍
Conference Polyglot
(4)
🐝
Cross-Pollinator
(13)
🌉
Interdisciplinary Bridge
🗺️
Taxonomy Completionist
(11)
Conferences
NIPS (2)
AISTATS (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
gaussian process
(2)
uncertainty quantification
(2)
bayesian optimization
(2)
hyperparameter optimization
(1)
posterior sampling
(1)
marginal likelihood
(1)
conjugate gradient
(1)
out-of-distribution detection
(1)
bayesian neural network
(1)
linear system solver
(1)
inducing point
(1)
bayesian last layer
(1)
active learning
(1)
linear solver
(1)
stochastic gradient descent
(1)
warm starting
(1)
Papers
Scalable Gaussian Processes with Latent Kronecker Structure
ICML 2025
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes
NIPS 2024
Stochastic Gradient Descent for Gaussian Processes Done Right
ICLR 2024
Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent
NIPS 2023
Latent Derivative Bayesian Last Layer Networks
AISTATS 2021