Jihao Andreas Lin

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Gaussian Process

Top Venues

Publications

Jihao Andreas Lin, Shreyas Padhy, Bruno Mlodozeniec, José Miguel Hernández-Lobato
Warm Start Marginal Likelihood Optimisation for Iterative Gaussian Processes. CoRR (2024)
Jihao Andreas Lin, Shreyas Padhy, Javier Antorán, Austin Tripp, Alexander Terenin, Csaba Szepesvári, José Miguel Hernández-Lobato, David Janz
Stochastic Gradient Descent for Gaussian Processes Done Right. ICLR (2024)
Jihao Andreas Lin, Shreyas Padhy, Bruno Mlodozeniec, Javier Antorán, José Miguel Hernández-Lobato
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes. CoRR (2024)
Jihao Andreas Lin, Javier Antorán, Shreyas Padhy, David Janz, José Miguel Hernández-Lobato, Alexander Terenin
Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent. CoRR (2023)
Kenza Tazi, Jihao Andreas Lin, Ross Viljoen, Alex Gardner, S. T. John, Hong Ge, Richard E. Turner
Beyond Intuition, a Framework for Applying GPs to Real-World Data. CoRR (2023)
Jihao Andreas Lin, Shreyas Padhy, Javier Antorán, Austin Tripp, Alexander Terenin, Csaba Szepesvári, José Miguel Hernández-Lobato, David Janz
Stochastic Gradient Descent for Gaussian Processes Done Right. CoRR (2023)
Jihao Andreas Lin, Javier Antorán, José Miguel Hernández-Lobato
Online Laplace Model Selection Revisited. CoRR (2023)
Jihao Andreas Lin, Joe Watson, Pascal Klink, Jan Peters
Function-Space Regularization for Deep Bayesian Classification. CoRR (2023)
Jihao Andreas Lin, Javier Antorán, Shreyas Padhy, David Janz, José Miguel Hernández-Lobato, Alexander Terenin
Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent. NeurIPS (2023)
Jihao Andreas Lin, Gergely Flamich, José Miguel Hernández-Lobato
Minimal Random Code Learning with Mean-KL Parameterization. CoRR (2023)
Joe Watson, Jihao Andreas Lin, Pascal Klink, Joni Pajarinen, Jan Peters
Latent Derivative Bayesian Last Layer Networks. AISTATS (2021)
Jihao Andreas Lin, Jakob Brünker, Daniel Fährmann
Learning to Predict the 3D Layout of a Scene. CoRR (2020)