Michael Thomas Smith

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 13

Top Topics

Gaussian Process

Top Venues

J. Mach. Learn. Res.

Publications

Michael Thomas Smith, Kathrin Grosse, Michael Backes, Mauricio A. Álvarez
Adversarial vulnerability bounds for Gaussian process classification. Mach. Learn. 112 (3) (2023)
Michael Thomas Smith, Magnus Ross, Joel Ssematimba, Pablo A. Alvarado, Mauricio Alvarez, Engineer Bainomugisha, Richard Wilkinson
Modelling calibration uncertainty in networks of environmental sensors. CoRR (2022)
Paterne Gahungu, Christopher W. Lanyon, Mauricio A. Álvarez, Engineer Bainomugisha, Michael Thomas Smith, Richard D. Wilkinson
Adjoint-aided inference of Gaussian process driven differential equations. CoRR (2022)
Magnus Ross, Michael Thomas Smith, Mauricio A. Álvarez
Learning Nonparametric Volterra Kernels with Gaussian Processes. CoRR (2021)
Michael Thomas Smith, Mauricio A. Álvarez, Neil D. Lawrence
Differentially Private Regression and Classification with Sparse Gaussian Processes. J. Mach. Learn. Res. 22 (2021)
Michael Thomas Smith, Kathrin Grosse, Michael Backes, Mauricio A. Álvarez
Adversarial Vulnerability Bounds for Gaussian Process Classification. CoRR (2019)
Fariba Yousefi, Michael Thomas Smith, Mauricio A. Álvarez
Multi-task Learning for Aggregated Data using Gaussian Processes. NeurIPS (2019)
Fariba Yousefi, Michael Thomas Smith, Mauricio A. Álvarez
Multi-task Learning for Aggregated Data using Gaussian Processes. CoRR (2019)
Michael Thomas Smith, Mauricio A. Álvarez, Neil D. Lawrence
Differentially Private Regression and Classification with Sparse Gaussian Processes. CoRR (2019)
Michael Thomas Smith, Joel Ssematimba, Mauricio A. Álvarez, Engineer Bainomugisha
Machine Learning for a Low-cost Air Pollution Network. CoRR (2019)
Michael Thomas Smith, Mauricio A. Álvarez, Neil D. Lawrence
Gaussian Process Regression for Binned Data. CoRR (2018)
Michael Thomas Smith, Mauricio A. Álvarez, Max Zwiessele, Neil D. Lawrence
Differentially Private Regression with Gaussian Processes. AISTATS (2018)
Michael Thomas Smith, Max Zwiessele, Neil D. Lawrence
Differentially Private Gaussian Processes. CoRR (2016)