Paul Edmund Chang
Visitor
Visitor
T313 Dept. Computer Science
Full researcher profile
https://research.aalto.fi/...
E-post
[email protected]
Forskningsgrupp
- Professorship Solin A., Doctoral Researcher
- Professorship Solin A., Visitor (Faculty)
Publikationer
FUNCTION-SPACE PARAMETERIZATION OF NEURAL NETWORKS FOR SEQUENTIAL LEARNING
Aidan Scannell, Riccardo Mereu, Paul Chang, Ella Tamir, Joni Pajarinen, Arno Solin
2024
Memory-Based Dual Gaussian Processes for Sequential Learning
Paul E. Chang, Prakhar Verma, S.T. John, Arno Solin, Mohammad Emtiyaz Khan
2023
Proceedings of the 40th International Conference on Machine Learning
Sparse Function-space Representation of Neural Networks
Aidan Scannell, Riccardo Mereu, Paul Chang, Ella Tamir, Joni Pajarinen, Arno Solin
2023
Fantasizing with Dual GPs in Bayesian Optimization and Active Learning
Paul Chang, Prakhar Verma, Ti John, Victor Picheny, Henry Moss, Arno Solin
2022
Dual parameterization of sparse variational Gaussian processes
Vincent Adam, Paul Chang, Mohammad Emtiyaz Khan, Arno Solin
2021
Advances in Neural Information Processing Systems 34 (NeurIPS 2021)
Fast Variational Learning in State-Space Gaussian Process Models
Paul Chang, William Wilkinson, Mohammad Emtiyaz Khan, Arno Solin
2020
Proceedings of the 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing, MLSP 2020
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes
William Wilkinson, Paul Chang, Michael Riis Andersen, Arno Solin
2020
Proceedings of the 37th International Conference on Machine Learning
Global approximate inference via local linearisation for temporal Gaussian processes
William Wilkinson, Paul Chang, Michael Andersen, Arno Solin
2019