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Results for: Santu Rana

A flexible transfer learning framework for Bayesian optimization with convergence guarantee

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

2019 / Vol. 115, pp. 656 - 672 / Expert Systems with Applications

Bayesian functional optimisation with shape prior

P. Vellanki, S. Rana, S. Gupta, D. Leal, A. Sutti, M. Height, S. Venkatesh

2019 / pp. (Accepted 1 Nov 2018) / The AAAI Conference on Artificial Intelligence (AAAI)

Multi-Target Optimisation via Bayesian Optimisation and Linear Programming

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

2018 / UAI 2018: Proceedings of the 34th Conference on Uncertainty in Artificial Intelligence

Efficient Bayesian Optimisation Using Derivative Meta-Model

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

2018 / pp. 252 - 264 / The 15th Pacific Rim International Conference on Artificial Intelligence

Accelerating Experimental Design by Incorporating Experimenter Hunches.

C. Li, S. Rana, S. Gupta, V. Nguyen, S. Venkatesh, A. Sutti, C. de, T. Slezak, M. Height, M. Mohammed, O.

2018 / pp. 257 - 266 / 2018 IEEE International Conference on Data Mining (ICDM)

Expected Hypervolume Improvement with Constraints

M. Abdolshah, A. Shilton, S. Rana, S. Gupta, S. Venkatesh

2018 / pp. 3238 - 3243 / International Conference on Pattern Recognition (ICPR)

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

A Privacy Preserving Bayesian Optimization with High Efficiency

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

2018 / pp. 543 - 555 / Pacific-Asia Conference on Knowledge Discovery and Data Mining

New Bayesian-Optimization-Based Design of High-Strength 7xxx-Series Alloys from Recycled Aluminum

A. Vahid, S. Rana, S. Gupta, P. Vellanki, S. Venkatesh, T. Dorin

2018 / Vol. 70, pp. 2704 - 2709 / The Journal of The Minerals, Metals and Materials Society (JOM)

Microstructure and mechanical properties of new recycled high performance 7xxx-series alloys

A. Vahid, S. Rana, S. Gupta, P. Vellanki, S. Venkatesh, T. Dorin

2018 / Materials Science and Engineering: A - Journal - Elsevier (under review)

Stable bayesian optimization

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

2018 / Vol. 6, pp. 327 - 339 / International Journal of Data Science and Analytics

Sparse Approximation for {Gaussian} Process with Derivative Observations

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

2018 / Australasian AI

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)

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 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)

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