Sotabase

Career

· Machine Learning/AI Resident, Alphabet Inc.2021–2021
· Google Brain Research Intern, Google2019–2019
· Machine Learning/AI Resident, X, the moonshot factory2019–2020
· Machine Learning Research Intern, Microsoft2018–2018
· Machine Learning Research Intern, Twitter2017–2017
· Research Assistant, Vector Institute2017–2018
· Machine Learning Research Intern, The University of British Columbia2016–2016
· M.Sc., Computer Science, University of Toronto2016–2018
· Intern, Arista Networks2015–2015
· B.Sc., Statistics, Computer Science, The University of British Columbia2013–2016
· Research Coordinator, The University of British Columbia2012–2013
· PhD candidate, Princeton University

Publications (28)

310
cited
International Conference on Machine Learning · 2020
96
cited
25
cited
Sticking the Landing: An Asymptotically Zero-Variance Gradient Estimator for Variational Inference
arXiv.org · 2017
24
cited
Neural Information Processing Systems · 2020
15
cited
Sticking the Landing : A Simple Reduced-Variance Gradient for ADVI
2017
1
cited
COS 511 : Theoretical Machine Learning
2019
Supplement : Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems
2019
Sotabase
Geoffrey Roeder | Researcher Profile | Sotabase | Sotabase