Paul E. Chang

Publication Activity (10 Years)

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

Top Topics

Gaussian Process

Top Venues

Publications

Aidan Scannell, Riccardo Mereu, Paul E. Chang, Ella Tamir, Joni Pajarinen, Arno Solin
Function-space Parameterization of Neural Networks for Sequential Learning. CoRR (2024)
Paul E. Chang, Prakhar Verma, S. T. John, Arno Solin, Mohammad Emtiyaz Khan
Memory-Based Dual Gaussian Processes for Sequential Learning. CoRR (2023)
Aidan Scannell, Riccardo Mereu, Paul E. Chang, Ella Tamir, Joni Pajarinen, Arno Solin
Sparse Function-space Representation of Neural Networks. CoRR (2023)
Paul E. Chang, Prakhar Verma, St John, Victor Picheny, Henry B. Moss, Arno Solin
Fantasizing with Dual GPs in Bayesian Optimization and Active Learning. CoRR (2022)
Vincent Adam, Paul E. Chang, Mohammad Emtiyaz Khan, Arno Solin
Dual Parameterization of Sparse Variational Gaussian Processes. NeurIPS (2021)
Vincent Adam, Paul E. Chang, Mohammad Emtiyaz Khan, Arno Solin
Dual Parameterization of Sparse Variational Gaussian Processes. CoRR (2021)
William J. Wilkinson, Paul E. Chang, Michael Riis Andersen, Arno Solin
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes. CoRR (2020)
Paul E. Chang, William J. Wilkinson, Mohammad Emtiyaz Khan, Arno Solin
Fast Variational Learning in State-Space Gaussian Process Models. CoRR (2020)
Paul E. Chang, William J. Wilkinson, Mohammad Emtiyaz Khan, Arno Solin
Fast Variational Learning in State-Space Gaussian Process Models. MLSP (2020)
William J. Wilkinson, Paul E. Chang, Michael Riis Andersen, Arno Solin
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes. ICML (2020)