Publications


Filters:


Results for: Santu Rana

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).

Guidelines for developing and reporting machine learning predictive models in biomedical research: a multidisciplinary view

W. Luo, D. Phung, T. Tran, S. Gupta, S. Rana, C. Karmakar, A. Shilton, J. Yearwood, N. Dimitrova, T. Ho, O.

2016 / Vol. 18, pp. e323 / Journal of medical Internet research

Differentially Private Multi-task Learning

S. Gupta, S. Rana, S. Venkatesh

2016 / pp. 101 - 113 / Intelligence and Security Informatics: 11th Pacific Asia Workshop. PAISI 2016, Auckland, New Zealand, April 19, 2016, Proceedings

Extracting Key Challenges in Achieving Sobriety through Shared Subspace Learning

H. Harikumar, T. Nguyen, S. Rana, S. Gupta, R. Kaimal, S. Venkatesh

2016 / pp. 420 - 433 / Proceedings of the 12th International Conference on Advanced Data Mining and Applications (ADMA)

Cascade Bayesian Optimization

N. Dai, S. Gupta, S. Rana, V. Nguyen, S. Venkatesh, K. J. Deane, P. G. Sanders

2016 / pp. 268 - 280 / 29th Australasian Joint Conference on Artificial Intelligence (AI 2016)

Understanding Behavioral Differences between Short and Long-term Drinking Abstainers from Social Media

H. Harikumar, T. Nguyen, S. Gupta, S. Rana, R. Kaimal, S. Venkatesh

2016 / pp. 520 - 533 / Proceedings of the 12th International Conference on Advanced Data Mining and Applications (ADMA)