| Aug 31, 2021 |
I held a reading group on geometric structures in machine learning at the UBC Machine Learning Reading Group. |
| Jul 2, 2021 |
New workshop paper on Structured second-order methods via natural gradient descent out. Will be presented at the Beyond first-order methods in ML systems Workshop at ICML2021, see the spotlight talk. |
| Jun 30, 2021 |
Tractable structured natural gradient descent using local parameterizations accepted at ICML2021! |
| Jun 30, 2020 |
Handling the positive-definite constraint in the bayesian learning rule accepted at ICML2020, see the ICML talk. |
| Jun 30, 2019 |
Fast and simple natural-gradient variational inference with mixture of exponential-family approximations accepted at ICML2019! |
| Jun 1, 2019 |
New workshop paper on Stein’s Lemma for the Reparameterization Trick with Exponential Family Mixtures out. Will be presented at the Stein’s Method in Machine Learning and Statistics Workshop at ICML2019. |
| Jun 1, 2018 |
Fast and scalable bayesian deep learning by weight-perturbation in Adam accepted at ICML2018! |
| Apr 10, 2018 |
Variational message passing with structured inference networks accepted at ICLR2018! |
| Apr 10, 2017 |
Conjugate-computation variational inference accepted at AIStats2017! |
| Jun 30, 2016 |
Faster stochastic variational inference using proximal-gradient methods with general divergence functions accepted at UAI2016! |
