Progress Review 2019–20
Louis C. Tiao
Highlights I
- L. Tiao, P. Elinas, H. Nguyen, and E. V. Bonilla. Variational Graph Convolutional Networks. In NeurIPS2019 Graph Representation Learning, Vancouver, Canada, December 2019. Accepted as “Outstanding Contribution Talk”
Highlights II
- Suspended candidature - Mar 2019–Mar 2020
- Applied Scientist Internship at Amazon in Berlin, Germany - Jun 2019–Dec 2019
- L. Tiao, A. Klein, C. Archambeau, and M. Seeger. Model-based Asynchronous Hyperparameter Optimization. arXiv preprint arXiv:1906.01852, March 2020.
Highlights III
- L. Tiao and E. V. Bonilla. Gaussian Process Density Ratio Estimation with Applications to Covariate Shift Adaptation. Preprint, June 2020.
Variational Graph Convolutional Networks
- L. Tiao, P. Elinas, H. Nguyen, and E. V. Bonilla
- In NeurIPS2019 Graph Representation Learning, Vancouver, Canada, December 2019
- Accepted as “Outstanding Contribution Talk”
- Currently under review at NeurIPS2020
Model-based Asynchronous Hyperparameter Optimization
- L. Tiao, A. Klein, C. Archambeau, and M. Seeger
- arXiv preprint arXiv:1906.01852, March 2020
- Shipped with AutoGluon from AWS Labs
- Currently under review at NeurIPS2020
Gaussian Process Density Ratio Estimation
Gaussian Process Density Ratio Estimation
- L. Tiao and E. V. Bonilla
- Working paper
- To be submitted to AISTATS2021