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Accelerating Experimental Design by Incorporating Experimenter Hunches

Accelerating Experimental Design by Incorporating Experimenter Hunches

22 July 2019
Cheng Li
Santu Rana
Sunil R. Gupta
Vu Nguyen
Svetha Venkatesh
A. Sutti
David Rubín de Celis Leal
Teo Slezak
Murray Height
M. Mohammed
I. Gibson
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Papers citing "Accelerating Experimental Design by Incorporating Experimenter Hunches"

3 / 3 papers shown
Title
BO-Muse: A human expert and AI teaming framework for accelerated
  experimental design
BO-Muse: A human expert and AI teaming framework for accelerated experimental design
Sunil R. Gupta
A. Shilton
V. ArunKumarA.
S. Ryan
Majid Abdolshah
Hung Le
Santu Rana
Julian Berk
Mahad Rashid
Svetha Venkatesh
42
7
0
03 Mar 2023
Distributionally Robust Bayesian Optimization with $\varphi$-divergences
Distributionally Robust Bayesian Optimization with φ\varphiφ-divergences
Hisham Husain
Vu-Linh Nguyen
Anton Van Den Hengel
40
13
0
04 Mar 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Frank Hutter
Marius Lindauer
AI4CE
33
100
0
11 Jan 2022
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