Jihao Andreas Lin
Scholar

Jihao Andreas Lin

Google Scholar ID: Bn1GyeEAAAAJ
Research Scientist at Meta
Machine LearningGaussian ProcessesBayesian OptimizationDeep Learning
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Citations & Impact
All-time
Citations
137
 
H-index
5
 
i10-index
4
 
Publications
16
 
Co-authors
17
list available
Contact
No contact links provided.
Publications
7 items
Empirical Gaussian Processes
2026
Cited
0
Improving Iterative Gaussian Processes via Warm Starting Sequential Posteriors
2025
Cited
0
Graph Random Features for Scalable Gaussian Processes
2025
Cited
0
Successive Halving with Learning Curve Prediction via Latent Kronecker Gaussian Processes
2025
Cited
0
Scalable Gaussian Processes: Advances in Iterative Methods and Pathwise Conditioning
2025
Cited
0
Scalable Gaussian Processes with Latent Kronecker Structure
2025
Cited
0
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes
arXiv.org · 2024
Cited
1
Resume (English only)
Co-authors
17 total
José Miguel Hernández-Lobato
José Miguel Hernández-Lobato
Professor of Machine Learning, University of Cambridge
Co-author 2
Co-author 2
Shreyas Padhy
Shreyas Padhy
University of Cambridge
Joe Watson
Joe Watson
University of Oxford
Co-author 5
Co-author 5
Jan Peters
Jan Peters
Professor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKI
Alexander Terenin
Alexander Terenin
Cornell University
David Janz
David Janz
University of Oxford