Cheng Li
Cheng Li
School of Computing, National University of Singapore, NUS
Verified email at comp.nus.edu.sg - Homepage
Title
Cited by
Cited by
Year
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
482017
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
372017
High Dimensional Bayesian optimization with Elastic Gaussian process
S Rana, C Li, S Gupta, V Nguyen, S Venkatesh
International Conference Machine Learning (ICML), 2017
362017
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
222016
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
172017
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
122018
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
122016
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
112016
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
92017
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
72013
Filtering Bayesian optimization approach in weakly specified search space
V Nguyen, S Gupta, S Rana, C Li, S Venkatesh
Knowledge and Information Systems 60 (1), 385-413, 2019
62019
Data clustering using side information dependent Chinese restaurant processes
C Li, S Rana, D Phung, S Venkatesh
Knowledge and information systems 47 (2), 463-488, 2016
62016
Think Globally, Act Locally: a Local Strategy for Bayesian Optimization
V Nguyen, S Gupta, S Rana, C Li, S Venkatesh
Neural Information Processing Systems (NIPS) Workshop on Bayesian Optimization, 2016
52016
Predictive variance reduction search
V Nguyen, S Gupta, S Rana, C Li, S Venkatesh
Neural Information Processing Systems (NIPS) Workshop on Bayesian …, 2017
32017
Toxicity prediction in cancer using multiple instance learning in a multi-task framework
C Li, S Gupta, S Rana, W Luo, S Venkatesh, D Ashely, D Phung
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 152-164, 2016
32016
Regularizing topic discovery in EMRS with side information by using hierarchical Bayesian models
C Li, S Rana, D Phung, S Venkatesh
2014 22nd International Conference on Pattern Recognition, 1307-1312, 2014
32014
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
22018
Efficient Bayesian Optimisation Using Derivative Meta-model
A Yang, C Li, S Rana, S Gupta, V Svetha
Pacific Rim International Conference on Artificial Intelligence, 2018
22018
Bayesian Optimization with Monotonicity Information
C Li, S Rana, S Gupta, N Vu, V Svetha.
NIPS Workshop on Bayesian Optimization 2017, 2017
22017
Budgeted Batch Bayesian Optimization With Unknown Batch Sizes
V Nguyen, S Rana, S Gupta, C Li, S Venkatesh
arXiv preprint arXiv:1703.04842, 2017
22017
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