Xiaoyu Lu

Xiaoyu Lu

Machine learning, Gaussian Process, Bayesian Optimization, Adaptive Importance Sampling

I am a final year PhD student from the OxWaSp program, supervised by Professor Yee Whye Teh. My research interests lie in the field of machine learning. In Particular, I have completed several projects in Tucker Gaussian Processes, Relativistic Monte Carlo for Bayesian inference and Bayesian Optimization on combinatorial spaces. Currently I am working on the exploration-exploitation in adaptive importance sampling, from the view of a multi-armed bandit problem.

Publications

2017

  • T. Rainforth , Y. Zhou , X. Lu , Y. W. Teh , F. Wood , H. Yang , J. Meent , Inference Trees: Adaptive Inference with Exploration [Workshop Version], NIPS Workshop on Advances in Approximate Bayesian Inference, 2017.
  • X. Lu , T. Rainforth , Y. Zhou , Y. W. Teh , F. Wood , H. Yang , J. Meent , On Exploration, Exploitation and Learning in Adaptive Importance Sampling, NIPS Workshop on Advances in Approximate Bayesian Inference, 2017.
  • X. Lu , V. Perrone , L. Hasenclever , Y. W. Teh , S. J. Vollmer , Relativistic Monte Carlo, in Artificial Intelligence and Statistics (AISTATS), 2017.
    Project: sgmcmc

2016

  • H. Kim , X. Lu , S. Flaxman , Y. W. Teh , Collaborative Filtering with Side Information: a Gaussian Process Perspective, 2016.
  • H. Kim , X. Lu , S. Flaxman , Y. W. Teh , Collaborative Filtering with Side Information: a Gaussian Process Perspective, 2016.