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Results for: Cheng Li

High Dimensional Bayesian Optimization Using Dropout

C. Li, S. Gupta, S. Rana, V. Nguyen, S. Venkatesh, A. Shilton

2017 / pp. 2096 - 2102 / International Joint Conference on Artificial Intelligence

Bayesian Optimization with Monotonicity Information

C. Li, S. Rana, S. Gupta, V. Nguyen, S. Venkatesh

2017 / Workshop on Bayesian optimization at neural information processing systems (NIPSW).

Distance Exploration for Scalable Batch Bayesian Optimization

V. Nguyen, S. Gupta, S. Rana, C. Li, S. Venkatesh

2017 / 31st Conference on Neural Information Processing Systems

Predictive Variance Reduction Search

V. Nguyen, S. Gupta, S. Rana, C. Li, S. Venkatesh

2017 / Workshop on Bayesian Optimization at Neural Information Processing Systems (NIPS).

Stable Clinical Prediction using Graph Support Vector Machines

I. Kamkar, S. Gupta, C. Li, D. Phung, S. Venkatesh

2016 / pp. 3332 - 3337 / 23rd International Conference on Pattern Recognition (ICPR 2016)

Budgeted Batch Bayesian Optimization

V. Nguyen, S. Rana, S. Gupta, C. Li, S. Venkatesh

2016 / pp. 1107 - 1112 / IEEE International Conference on Data Mining (ICDM)

Think globally act locally: a local strategy for Bayesian optimization

V. Nguyen, S. Gupta, S. Rana, C. Li, S. Venkatesh

2016 / Workshop on Bayesian Optimization at Neural Information Processing Systems (NIPS).

Exploiting side information in Bayesian nonparametric models and their applications

C. Li

2015 / Doctor of Philosophy (Information Technology), School of Information Technology