Scholar
Jihao Andreas Lin
Google Scholar ID: Bn1GyeEAAAAJ
Research Scientist at Meta
Machine Learning
Gaussian Processes
Bayesian Optimization
Deep Learning
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Citations & Impact
All-time
Citations
137
H-index
5
i10-index
4
Publications
16
Co-authors
17
list available
Publications
8 items
Efficiently Estimating Optimal Hyperparameter Scaling Laws through Power-Law Entropy Search
2026
Cited
0
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
Co-authors
15 total
José Miguel Hernández-Lobato
Professor of Machine Learning, University of Cambridge
Shreyas Padhy
University of Cambridge
Joe Watson
University of Oxford
Jan Peters
Professor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKI
Alexander Terenin
Cornell University
David Janz
University of Oxford
Richard E Turner
Professor, University of Cambridge
Kenza Tazi
Research scientist, ECMWF
