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Jihao Andreas Lin
Observed names:
Jihao Lin,
Lin, Jihao Andreas
Institution:
Meta (United States)
Observed institutions:
Loughborough University,
Max Planck Society,
University of Cambridge,
Technische Universität Darmstadt,
Meta (United States),
Camfridge (United Kingdom),
Max Planck Institute for Intelligent Systems
show all 7
ORCID:
0000-0003-1969-1801
Observed ORCID:
0000-0003-1969-1801
OpenAlex ID:
A5078901361
Latent Derivative Bayesian Last Layer Networks
2021
·
Joe Watson
, Jihao Andreas Lin
, et al.
·
Aaltodoc (Aalto University)
·
11
PDF
Beyond Intuition, a Framework for Applying GPs to Real-World Data
2023
·
Tazi, Kenza
, Lin, Jihao Andreas
, et al.
·
arXiv (Cornell University)
·
7
PDF
Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent
2023
·
Jihao Andreas Lin
, Javier Antorán
, et al.
·
neural information processing systems
·
6
PDF
Stochastic Gradient Descent for Gaussian Processes Done Right
2023
·
Lin, Jihao Andreas
, Padhy, Shreyas
, et al.
·
arXiv (Cornell University)
·
1
PDF
A Machine Learning Approach to Online Market Segmentation
2021
·
Jihao Lin
, Christopher P. Holland
, et al.
·
SSRN Electronic Journal
·
1
Predictable Scaling: Efficient Model Exploration via Scaling-Law Prediction
2026
·
Wesanekar, Aishwarya
, Yang, Sheng-Tao
, et al.
·
arXiv (Cornell University)
PDF
Efficiently Estimating Optimal Hyperparameter Scaling Laws through Power-Law Entropy Search
2026
·
Chen, Zhiliang
, Ament, Sebastian
, et al.
·
arXiv (Cornell University)
PDF
Empirical Gaussian Processes
2026
·
Lin, Jihao Andreas
, Ament, Sebastian
, et al.
·
arXiv (Cornell University)
PDF
Warm-Starting Iterative Gaussian Processes for Faster Sequential Inference
2025
·
Dong, Alan Yufei
, Lin, Jihao Andreas
, et al.
·
arXiv (Cornell University)
PDF
Successive Halving with Learning Curve Prediction via Latent Kronecker Gaussian Processes
2025
·
Lin, Jihao Andreas
, Mayoraz, Nicolas
, et al.
·
arXiv (Cornell University)
PDF
Scalable Gaussian Processes with Latent Kronecker Structure
2025
·
Lin, Jihao Andreas
, Ament, Sebastian
, et al.
·
arXiv (Cornell University)
PDF
Scaling Gaussian Processes for Learning Curve Prediction via Latent Kronecker Structure
2024
·
Lin, Jihao Andreas
, Ament, Sebastian
, et al.
·
arXiv (Cornell University)
PDF
Warm Start Marginal Likelihood Optimisation for Iterative Gaussian Processes
2024
·
Lin, Jihao Andreas
, Padhy, Shreyas
, et al.
·
arXiv (Cornell University)
PDF
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes
2024
·
Jihao Andreas Lin
, Shreyas Padhy
, et al.
·
neural information processing systems
PDF
Minimal Random Code Learning with Mean-KL Parameterization
2023
·
Lin, Jihao Andreas
, Flamich, Gergely
, et al.
·
arXiv (Cornell University)
PDF
Online Laplace Model Selection Revisited
2023
·
Lin, Jihao Andreas
, Antorán, Javier
, et al.
·
arXiv (Cornell University)
PDF
Function-Space Regularization for Deep Bayesian Classification
2023
·
Lin, Jihao Andreas
, Watson, Joe
, et al.
·
arXiv (Cornell University)
PDF
Key Event Analysis of Customer Behaviour Using Clickstream Data in Airline Market
2023
·
Jihao Lin
, Christopher Holland
, et al.
·
International Conference on Tourism Research
PDF
Neural Linear Models with Functional Gaussian Process Priors
2020
·
Joe Watson
, Jihao Andreas Lin
, et al.
Learning to Predict the 3D Layout of a Scene
2020
·
Lin, Jihao Andreas
, Brünker, Jakob
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
22
Citation count:
26
H-index:
3
I10-index:
1
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