Murray Height

Publication Activity (10 Years)

Years Active: 2017-2020
Publications (10 Years): 7

Top Topics

Mumford Shah Functional

Graph Cut Segmentation

Experimental Design

Top Venues

Publications

Alistair Shilton, Sunil Gupta, Santu Rana, Pratibha Vellanki, Cheng Li, Svetha Venkatesh, Laurence Park, Alessandra Sutti, David Rubin, Thomas Dorin, Alireza Vahid, Murray Height, Teo Slezak
Accelerated Bayesian Optimisation through Weight-Prior Tuning. AISTATS (2020)
Cheng Li, Santu Rana, Sunil Gupta, Vu Nguyen, Svetha Venkatesh, Alessandra Sutti, David Rubin de Celis Leal, Teo Slezak, Murray Height, Mazher Mohammed, Ian Gibson
Accelerating Experimental Design by Incorporating Experimenter Hunches. CoRR (2019)
Pratibha Vellanki, Santu Rana, Sunil Gupta, David Rubin de Celis Leal, Alessandra Sutti, Murray Height, Svetha Venkatesh
Bayesian Functional Optimisation with Shape Prior. AAAI (2019)
Pratibha Vellanki, Santu Rana, Sunil Gupta, David Rubin de Celis Leal, Alessandra Sutti, Murray Height, Svetha Venkatesh
Bayesian functional optimisation with shape prior. CoRR (2018)
Alistair Shilton, Sunil Gupta, Santu Rana, Pratibha Vellanki, Cheng Li, Svetha Venkatesh, Laurence Park, Alessandra Sutti, David Rubin, Thomas Dorin, Alireza Vahid, Murray Height, Teo Slezak
Kernel Pre-Training in Feature Space via m-Kernels. CoRR (2018)
Cheng Li, Santu Rana, Sunil Gupta, Vu Nguyen, Svetha Venkatesh, Alessandra Sutti, David Rubin de Celis Leal, Teo Slezak, Murray Height, Mazher Mohammed, Ian Gibson
Accelerating Experimental Design by Incorporating Experimenter Hunches. ICDM (2018)
Pratibha Vellanki, Santu Rana, Sunil Gupta, David Rubin, Alessandra Sutti, Thomas Dorin, Murray Height, Paul G. Sanders, Svetha Venkatesh
Process-constrained batch Bayesian optimisation. NIPS (2017)