Learning to Predict the 3D Layout of a Scene. - Jihao Andreas Lin; Jakob Brünker; Daniel Fährmann (CoRR, 2020)

Latent Derivative Bayesian Last Layer Networks. - Joe Watson; Jihao Andreas Lin; Pascal Klink; Joni Pajarinen; Jan Peters 001 (AISTATS, 2021)

Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent. - Jihao Andreas Lin; Javier Antorán; Shreyas Padhy; David Janz; José Miguel Hernández-Lobato; Alexander Terenin (NeurIPS, 2023)

Beyond Intuition, a Framework for Applying GPs to Real-World Data. - Kenza Tazi; Jihao Andreas Lin; Ross Viljoen; Alex S. Gardner; S. T. John; Hong Ge; Richard E. Turner (CoRR, 2023)

Function-Space Regularization for Deep Bayesian Classification. - Jihao Andreas Lin; Joe Watson; Pascal Klink; Jan Peters 001 (CoRR, 2023)

Online Laplace Model Selection Revisited. - Jihao Andreas Lin; Javier Antorán; José Miguel Hernández-Lobato (CoRR, 2023)

Minimal Random Code Learning with Mean-KL Parameterization. - Jihao Andreas Lin; Gergely Flamich; José Miguel Hernández-Lobato (CoRR, 2023)

Stochastic Gradient Descent for Gaussian Processes Done Right. - Jihao Andreas Lin; Shreyas Padhy; Javier Antorán; Austin Tripp; Alexander Terenin; Csaba Szepesvári; José Miguel Hernández-Lobato; David Janz (ICLR, 2024)

Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes. - Jihao Andreas Lin; Shreyas Padhy; Bruno Mlodozeniec; Javier Antorán; José Miguel Hernández-Lobato (NeurIPS, 2024)

Warm Start Marginal Likelihood Optimisation for Iterative Gaussian Processes. - Jihao Andreas Lin; Shreyas Padhy; Bruno Mlodozeniec; José Miguel Hernández-Lobato (CoRR, 2024)

Scaling Gaussian Processes for Learning Curve Prediction via Latent Kronecker Structure. - Jihao Andreas Lin; Sebastian Ament; Maximilian Balandat; Eytan Bakshy (CoRR, 2024)

Scalable Gaussian Processes with Latent Kronecker Structure. - Jihao Andreas Lin; Sebastian Ament; Maximilian Balandat; David Eriksson; José Miguel Hernández-Lobato; Eytan Bakshy (CoRR, 2025)

Scalable Gaussian Processes: Advances in Iterative Methods and Pathwise Conditioning. - Jihao Andreas Lin (CoRR, 2025)