Follow
Cheng Li
Title
Cited by
Cited by
Year
High Dimensional Bayesian optimization with Elastic Gaussian process
S Rana, C Li, S Gupta, V Nguyen, S Venkatesh
International Conference Machine Learning (ICML), 2017
1292017
Rapid Bayesian Optimisation for Synthesis of Short Polymer Fiber Materials
C Li, D Leal Rubin De Celis, S Rana, S Gupta, A Sutti, S Greenhill, ...
scientific report, 2017
1272017
High Dimensional Bayesian Optimization Using Dropout
C Li, S Gupta, S Rana, V Nugyen, S Venkatesh, A Shilton
International Joint Conference on Artificial Intelligence (IJCAI), 2017
1272017
Regret for expected improvement over the best-observed value and stopping condition
V Nguyen, S Gupta, S Rana, C Li, S Venkatesh
Asian conference on machine learning, 279-294, 2017
962017
Hierarchically fair federated learning
J Zhang, C Li, A Robles-Kelly, M Kankanhalli
arXiv preprint arXiv:2004.10386, 2020
812020
Budgeted batch Bayesian optimization
V Nguyen, S Rana, SK Gupta, C Li, S Venkatesh
2016 IEEE 16th International Conference on Data Mining (ICDM), 1107-1112, 2016
482016
Incorporating expert prior in Bayesian optimisation via space warping
A Ramachandran, S Gupta, S Rana, C Li, S Venkatesh
Knowledge-Based Systems 195, 105663, 2020
372020
Filtering Bayesian optimization approach in weakly specified search space
V Nguyen, S Gupta, S Rana, C Li, S Venkatesh
Knowledge and Information Systems 60, 385-413, 2019
332019
Accelerating Experimental Design by Incorporating Experimenter Hunches
C Li, S Rana, S Gupta, V Nguyen, S Venkatesh, A Sutti, D Rubin, T Slezak, ...
IEEE International Conference on Data Mining (ICDM), 2018
302018
Bayesian optimization in weakly specified search space
V Nguyen, S Gupta, S Rane, C Li, S Venkatesh
2017 IEEE International Conference on data mining (ICDM), 347-356, 2017
252017
Hierarchical Bayesian nonparametric models for knowledge discovery from electronic medical records
C Li, S Rana, D Phung, S Venkatesh
Knowledge-Based Systems 99, 168-182, 2016
212016
A Bayesian nonparametric approach for multi-label classification
V Nguyen, S Gupta, S Rana, C Li, S Venkatesh
Asian conference on machine learning, 254-269, 2016
202016
Explaining Black-box Machine Learning models via Interpretable Surrogates
D Kuttichira, S Gupta, C Li, S Rana, S Venkatesh
Pacific Rim International Conference on Artificial Intelligence, 2019
12*2019
Optimizing a high-entropy system: software-assisted development of highly hydrophobic surfaces using an amphiphilic polymer
S Subianto, C Li, D Rubin de Celis Leal, S Rana, S Gupta, R He, ...
ACS omega 4 (14), 15912-15922, 2019
112019
Budgeted batch Bayesian optimization with unknown batch sizes
V Nguyen, S Rana, S Gupta, C Li, S Venkatesh
arXiv preprint arXiv:1703.04842, 2017
102017
Bayesian Optimization with Monotonicity Information
C Li, S Rana, S Gupta, N Vu, V Svetha.
NIPS Workshop on Bayesian Optimization 2017, 2017
92017
Data clustering using side information dependent Chinese restaurant processes
C Li, S Rana, D Phung, S Venkatesh
Knowledge and information systems 47, 463-488, 2016
92016
Exploiting side information in distance dependent chinese restaurant processes for data clustering
C Li, D Phung, S Rana, S Venkatesh
2013 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2013
82013
Incorporating expert prior knowledge into experimental design via posterior sampling
C Li, S Gupta, S Rana, V Nguyen, A Robles-Kelly, S Venkatesh
arXiv preprint arXiv:2002.11256, 2020
72020
Sparse Approximation for Gaussian Process with Derivative Observations
A Yang, C Li, S Rana, S Gupta, V Svetha
Australasian Joint Conference on Artificial Intelligence, 2018
62018
The system can't perform the operation now. Try again later.
Articles 1–20