Accelerating Experimental Design by Incorporating Experimenter Hunches

no code implementations • 22 Jul 2019 • Cheng Li, Santu Rana, Sunil Gupta, Vu Nguyen, Svetha Venkatesh, Alessandra Sutti, David Rubin, Teo Slezak, Murray Height, Mazher Mohammed, Ian Gibson

In this paper, we consider per-variable monotonic trend in the underlying property that results in a unimodal trend in those variables for a target value optimization.

Bayesian Optimization Experimental Design

Accelerated Bayesian Optimization throughWeight-Prior Tuning

no code implementations • 21 May 2018 • Alistair Shilton, Sunil Gupta, Santu Rana, Pratibha Vellanki, Laurence Park, Cheng Li, Svetha Venkatesh, Alessandra Sutti, David Rubin, Thomas Dorin, Alireza Vahid, Murray Height, Teo Slezak

In this paper we show how such auxiliary data may be used to construct a GP covariance corresponding to a more appropriate weight prior for the objective function.

Transfer Learning

Rapid Bayesian optimisation for synthesis of short polymer fiber materials

no code implementations • 16 Feb 2018 • Cheng Li, David Rubin de Celis Leal, Santu Rana, Sunil Gupta, Alessandra Sutti, Stewart Greenhill, Teo Slezak, Murray Height, Svetha Venkatesh

The discovery of processes for the synthesis of new materials involves many decisions about process design, operation, and material properties.

Bayesian Optimisation BIG-bench Machine Learning