Cheng Li

According to our database, Cheng Li authored at least 29 papers between 2013 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Sparse Spectrum Gaussian Process for Bayesian Optimization.

Ang Yang, Cheng Li, Santu Rana, Sunil Gupta, Svetha Venkatesh

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

2020

Incorporating expert prior in Bayesian optimisation via space warping.

Anil Ramachandran, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh

Knowl. Based Syst., 2020

Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling.

Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Antonio Robles-Kelly, Svetha Venkatesh

CoRR, 2020

Factor Screening using Bayesian Active Learning and Gaussian Process Meta-Modelling.

Cheng Li, Santu Rana, Andrew Gill, Dang Nguyen, Sunil Gupta, Svetha Venkatesh

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Accelerated Bayesian Optimisation through Weight-Prior Tuning.

Alistair Shilton, Sunil Gupta, Santu Rana, Pratibha Vellanki, Cheng Li, Svetha Venkatesh, Laurence Park, Alessandra Sutti, David Rubin, Thomas Dorin, Alireza Vahid, Murray Height, Teo Slezak

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Filtering Bayesian optimization approach in weakly specified search space.

Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh

Knowl. Inf. Syst., 2019

Sparse Spectrum Gaussian Process for Bayesian Optimisation.

Ang Yang, Cheng Li, Santu Rana, Sunil Gupta, Svetha Venkatesh

CoRR, 2019

Explaining Black-Box Models Using Interpretable Surrogates.

Deepthi Praveenlal Kuttichira, Sunil Gupta, Cheng Li, Santu Rana, Svetha Venkatesh

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Efficient Bayesian Optimization for Uncertainty Reduction Over Perceived Optima Locations.

Vu Nguyen, Sunil Gupta, Santu Rana, My T. Thai, Cheng Li, Svetha Venkatesh

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Practical Batch Bayesian Optimization for Less Expensive Functions.

Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh

CoRR, 2018

Kernel Pre-Training in Feature Space via m-Kernels.

Alistair Shilton, Sunil Gupta, Santu Rana, Pratibha Vellanki, Cheng Li, Svetha Venkatesh, Laurence Park, Alessandra Sutti, David Rubin, Thomas Dorin, Alireza Vahid, Murray Height, Teo Slezak

CoRR, 2018

Efficient Bayesian Optimisation Using Derivative Meta-model.

Ang Yang, Cheng Li, Santu Rana, Sunil Gupta, Svetha Venkatesh

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Accelerating Experimental Design by Incorporating Experimenter Hunches.

Cheng Li, Santu Rana, Sunil Gupta, Vu Nguyen, Svetha Venkatesh, Alessandra Sutti, David Rubin de Celis Leal, Teo Slezak, Murray Height, Mazher Mohammed, Ian Gibson

Proceedings of the IEEE International Conference on Data Mining, 2018

Sparse Approximation for Gaussian Process with Derivative Observations.

Ang Yang, Cheng Li, Santu Rana, Sunil Gupta, Svetha Venkatesh

Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017

Budgeted Batch Bayesian Optimization With Unknown Batch Sizes.

Vu Nguyen, Santu Rana, Sunil Gupta, Cheng Li, Svetha Venkatesh

CoRR, 2017

High Dimensional Bayesian Optimization using Dropout.

Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh, Alistair Shilton

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

High Dimensional Bayesian Optimization with Elastic Gaussian Process.

Santu Rana, Cheng Li, Sunil Gupta, Vu Nguyen, Svetha Venkatesh

Proceedings of the 34th International Conference on Machine Learning, 2017

Bayesian Optimization in Weakly Specified Search Space.

Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Regret for Expected Improvement over the Best-Observed Value and Stopping Condition.

Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh

Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016

Hierarchical Bayesian nonparametric models for knowledge discovery from electronic medical records.

Cheng Li, Santu Rana, Dinh Q. Phung, Svetha Venkatesh

Knowl. Based Syst., 2016

Data clustering using side information dependent Chinese restaurant processes.

Cheng Li, Santu Rana, Dinh Q. Phung, Svetha Venkatesh

Knowl. Inf. Syst., 2016

Toxicity Prediction in Cancer Using Multiple Instance Learning in a Multi-task Framework.

Cheng Li, Sunil Gupta, Santu Rana, Wei Luo, Svetha Venkatesh, David Ashely, Dinh Q. Phung

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Multiple adverse effects prediction in longitudinal cancer treatment.

Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh, David Ashely, Trish Livingston

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Stable clinical prediction using graph support vector machines.

Iman Kamkar, Sunil Gupta, Cheng Li, Dinh Q. Phung, Svetha Venkatesh

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Budgeted Batch Bayesian Optimization.

Vu Nguyen, Santu Rana, Sunil Kumar Gupta, Cheng Li, Svetha Venkatesh

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

A Bayesian Nonparametric Approach for Multi-label Classification.

Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh

Proceedings of The 8th Asian Conference on Machine Learning, 2016

2015

Small-Variance Asymptotics for Bayesian Nonparametric Models with Constraints.

Cheng Li, Santu Rana, Dinh Q. Phung, Svetha Venkatesh

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

2014

Regularizing Topic Discovery in EMRs with Side Information by Using Hierarchical Bayesian Models.

Cheng Li, Santu Rana, Dinh Q. Phung, Svetha Venkatesh

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Exploiting side information in distance dependent Chinese restaurant processes for data clustering.

Cheng Li, Dinh Q. Phung, Santu Rana, Svetha Venkatesh

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013