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Results for: Cheng Li

Explaining Black-box Machine Learning Models using Interpretable Surrogates

D. Kuttichira, S. Gupta, R. Santu, C. Li, S. Venkatesh

2019 / pp. (to appear) / Pacific Rim International Conference on Artificial Intelligence

Accelerating Experimental Design by Incorporating Experimenter Hunches.

C. Li, S. Rana, S. Gupta, V. Nguyen, S. Venkatesh, A. Sutti, C. de, T. Slezak, M. Height, M. Mohammed, O.

2018 / pp. 257 - 266 / 2018 IEEE International Conference on Data Mining (ICDM)

Filtering Bayesian optimization approach in weakly specified search space

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

2018 / pp. 1 - 29 / Knowledge and Information Systems

Sparse Approximation for {Gaussian} Process with Derivative Observations

A. Yang, C. Li, S. Rana, S. Gupta, S. Venkatesh

2018 / Australasian AI

Efficient Bayesian Optimisation Using Derivative Meta-Model

A. Yang, C. Li, S. Rana, S. Gupta, S. Venkatesh

2018 / pp. 252 - 264 / The 15th Pacific Rim International Conference on Artificial Intelligence

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)