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

AutoGluon

Gaussian Process Density Ratio Estimation

GPDRE

Gaussian Process Density Ratio Estimation

  • L. Tiao and E. V. Bonilla
  • Working paper
  • To be submitted to AISTATS2021