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Results for: Sunil Gupta

Sparse Spectrum Gaussian Process for Bayesian Optimization

A. Yang, C. Li, S. Rana, S. Gupta, S. Venkatesh

2021 / pp. To appear / Proceedings of the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021)

Distributional Reinforcement Learning via Moment Matching

T. Nguyen, S. Gupta, S. Venkatesh

2021 / pp. accepted on 02/10/2020 / The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI)

High Dimensional Level Set Estimation with Bayesian Neural Network

H. Ha, S. Gupta, S. Rana, S. Venkatesh

2021 / pp. To appear / Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence

Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning

T. Karimpanal, S. Rana, S. Gupta, T. Tran, S. Venkatesh

2020 / Proceedings of the International Joint Conference on Neural Networks (IJCNN)

Distributionally Robust Bayesian Quadrature Optimization

T. Nguyen, S. Gupta, H. Ha, S. Rana, S. Venkatesh

2020 / pp. 1921 - 1931 / Proceeedings of the International Conference on Artificial Intelligence and Statistics (AISTATS)

Bayesian Optimization for Categorical and Category-Specific Continuous Inputs

D. Nguyen, S. Gupta, S. Rana, A. Shilton, S. Venkatesh

2020 / Vol. 34, pp. 5256 - 5263 / Proceedings of the AAAI Conference on Artificial Intelligence

Bayesian Optimisation in Unknown Bounded Search Domains

J. Berk, S. Gupta, S. Rana, V. Nguyen, S. Venkatesh

2020 / Vol. 195, pp. 105645 / Knowledge-Based Systems

DeepCoDA: Personalized Interpretability for Compositional Health Data

T. Quinn, D. Nguyen, S. Rana, S. Gupta, S. Venkatesh

2020 / pp. 7877 - 7886 / Proceedings of the International Conference on Machine Learning (ICML)

Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation

J. Berk, S. Gupta, S. Rana, S. Venkatesh

2020 / Proceedings of the 39th International Joint Conference on Artificial Intelligence (IJCAI)

Incorporating Expert Prior in Bayesian Optimisation via Space Warping

A. Ramachandran, S. Gupta, S. Rana, C. Li, S. Venkatesh

2020 / Vol. 195, pp. 105663 / Knowledge-Based Systems

Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization

S. Gupta, S. Rana, S. Venkatesh, O.

2020 / Vol. 34, pp. 2425 - 2432 / Proceedings of the AAAI Conference on Artificial Intelligence

Geolocated Twitter-based population mobility in Victoria, Australia, during the staged COVID-19 restrictions

T. Nguyen, S. Gupta, J. Raman, R. Bellomo, S. Venkatesh

2020 / Vol. 22 / Critical Care and Resuscitation

Length Scale Warping for Level Set Estimation

M. Senadeera, S. Rana, S. Gupta, S. Venkatesh

2020 / 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining

Scalable Backdoor Detection in Neural Networks

H. Harikumar, V. Le, S. Rana, S. Bhattacharya, S. Gupta, S. Venkatesh

2020 / Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)

Unsupervised Anomaly Detection on Temporal Multiway Data

D. Nguyen, P. Nguyen, K. Do, S. Rana, S. Gupta, T. Tran

2020 / pp. 1059 - 1066 / 2020 IEEE Symposium Series on Computational Intelligence (SSCI)

Level Set Estimation with Search Space Warping

M. Senadeera, S. Rana, S. Gupta, S. Venkatesh

2020 / pp. 827 - 839 / Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)

Fast Hyperparameter Tuning Using Bayesian Optimization with Directional Derivatives

T. Joy, S. Rana, S. Gupta, S. Venkatesh

2020 / Vol. 205, pp. 106247 / Knowledge-Based Systems