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Results for: Svetha Venkatesh

Filtering Bayesian optimization approach in weakly specified search space

V. Nguyen, S. Gupta, S. Rana, C. Li, S. Venkatesh

2018 / pp. 1 - 29 / Knowledge and Information Systems

Differentially Private Prescriptive Analytics

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

2018 / pp. 995 - 1000 / 2018 IEEE International Conference on Data Mining (ICDM)

LTARM: A novel temporal association rule mining method to understand toxicities in a routine cancer treatment

D. Nguyen, W. Luo, D. Phung, S. Venkatesh

2018 / Vol. 161, pp. 313 - 328 / Knowledge-Based Systems

Neural reasoning for chemical-chemical interaction

T. Pham, T. Tran, S. Venkatesh

2018 / NeurIPS 2018 Workshop on Machine Learning for Molecules and Materials

Trans2Vec: Learning Transaction Embedding via Items and Frequent Itemsets

D. Nguyen, T. Nguyen, W. Luo, S. Venkatesh

2018 / pp. 361 - 372 / Pacific-Asia Conference on Knowledge Discovery and Data Mining

On catastrophic forgetting and mode collapse in Generative Adversarial Networks

H. Thanh-Tung, T. Tran, S. Venkatesh

2018 / ICML Workshop on Theoretical Foundations and Applications of Deep Generative Models

Predicting healthcare trajectories from medical records: A deep learning approach

T. Pham, T. Tran, D. Phung, S. Venkatesh

2017 / Vol. 69, pp. 218 - 229 / Journal of Biomedical Informatics

Effective sparse imputation of patient conditions in electronic medical records for emergency risk predictions

B. Saha, S. Gupta, D. Phung, S. Venkatesh

2017 / Vol. 53, pp. 1 - 28 / Knowledge and Information Systems

Column Networks for Collective Classification

T. Pham, T. Tran, D. Phung, S. Venkatesh

2017 / pp. 2485 - 2491 / The AAAI Conference on Artificial Intelligence (AAAI)

Nonparametric discovery and analysis of learning patterns and autism subgroups from therapeutic data

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

2017 / Vol. 51, pp. 127 - 157 / Knowledge and Information Systems

Graph Classification via Deep Learning with Virtual Nodes

T. Pham, T. Tran, H. Dam, S. Venkatesh

2017 / Third Representation Learning for Graphs Workshop (ReLiG 2017)

Learning Recurrent Matrix Representation

K. Do, T. Tran, S. Venkatesh

2017 / Third Representation Learning for Graphs Workshop (ReLiG 2017)

Bayesian Optimization of Superalloy Designs

J. Licavoli, P. Sanders, S. Rana, S. Gupta, V. Nguyen, S. Venkatesh

2017 / 4th World Congress on Integrated Computational Materials Engineering (ICME 2017)

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).