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Results for: Svetha Venkatesh

Stable Bayesian Optimization

N. Dai, S. Gupta, S. Rana, S. Venkatesh

2017 / pp. 578 - 591 / Pacific-Asia Conference on Knowledge Discovery and Data Mining

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).

Finding Algebraic Structure of Care in Time: A Deep Learning Approach

P. Nguyen, T. Tran, S. Venkatesh

2017 / NIPS Workshop on Machine Learning for Health (ML4H)

Latent sentiment topic modelling and nonparametric discovery of online mental health-related communities

B. Dao, T. Nguyen, S. Venkatesh, D. Phung

2017 / Vol. 4, pp. 209 - 231 / International Journal of Data Science and Analytics

Hierarchical semi-Markov conditional random fields for deep recursive sequential data

T. Tran, D. Phung, H. Bui, S. Venkatesh

2017 / Vol. 246, pp. 53 - 85 / Artificial Intelligence

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

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

A Generic Neural Architecture for Multiple Inputs and Outputs

T. Pham, T. Tran, S. Venkatesh

2017 / NIPS Workshop on Women in Machine Learning (WiML 2017)

Data mining of intervention for children with autism spectrum disorder

P. Vellanki, T. Duong, D. Phung, S. Venkatesh

2017 / pp. 376 - 383 / eHealth 360°

Deep learning to attend to risk in ICU

P. Nguyen, T. Tran, S. Venkatesh

2017 / pp. 25 - 29 / KDH 2017: Proceedings of the 2nd International Workshop on Knowledge Discovery in Healthcare Data 2017

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).