High Dimensional Bayesian Optimisation and Bandits via Additive Models

5 March 2015

Papers citing "High Dimensional Bayesian Optimisation and Bandits via Additive Models"

22 / 72 papers shown

Title
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly Kirthevasan Kandasamy Karun Raju Vysyaraju Willie Neiswanger Biswajit Paria Christopher R. Collins J. Schneider Barnabás Póczós Eric Xing 29 174 0 15 Mar 2019
A Tutorial on Bayesian Optimization P. Frazier GP 15 1,737 0 08 Jul 2018
A survey on policy search algorithms for learning robot controllers in a handful of trials Konstantinos Chatzilygeroudis Vassilis Vassiliades F. Stulp Sylvain Calinon Jean-Baptiste Mouret 17 155 0 06 Jul 2018
Bayesian Optimization of Combinatorial Structures Ricardo Baptista Matthias Poloczek 22 135 0 22 Jun 2018
Differentiable Compositional Kernel Learning for Gaussian Processes Shengyang Sun Guodong Zhang Chaoqi Wang Wenyuan Zeng Jiaman Li Roger C. Grosse BDL 15 69 0 12 Jun 2018
BOCK : Bayesian Optimization with Cylindrical Kernels Changyong Oh E. Gavves Max Welling 23 135 0 05 Jun 2018
A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations Biswajit Paria Kirthevasan Kandasamy Barnabás Póczós 25 125 0 30 May 2018
Tight Regret Bounds for Bayesian Optimization in One Dimension Jonathan Scarlett 38 27 0 30 May 2018
Neural Architecture Search using Deep Neural Networks and Monte Carlo Tree Search Linnan Wang Yiyang Zhao Yuu Jinnai Yuandong Tian Rodrigo Fonseca BDL 33 50 0 18 May 2018
Constant-Time Predictive Distributions for Gaussian Processes Geoff Pleiss Jacob R. Gardner Kilian Q. Weinberger A. Wilson 25 94 0 16 Mar 2018
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning Ahmed Alaa M. Schaar 18 85 0 20 Feb 2018
High Dimensional Bayesian Optimization Using Dropout Cheng Li Sunil R. Gupta Santu Rana Vu Nguyen Svetha Venkatesh A. Shilton 18 130 0 15 Feb 2018
Decentralized High-Dimensional Bayesian Optimization with Factor Graphs T. Hoang Q. Hoang Ruofei Ouyang K. H. Low 29 53 0 19 Nov 2017
Batched Large-scale Bayesian Optimization in High-dimensional Spaces Zi Wang Clement Gehring Pushmeet Kohli Stefanie Jegelka UQCV 14 209 0 05 Jun 2017
DeepArchitect: Automatically Designing and Training Deep Architectures Renato M. P. Negrinho Geoffrey J. Gordon 23 185 0 28 Apr 2017
Multi-fidelity Bayesian Optimisation with Continuous Approximations Kirthevasan Kandasamy Gautam Dasarathy J. Schneider Barnabás Póczós 21 220 0 18 Mar 2017
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning Zi Wang Chengtao Li Stefanie Jegelka Pushmeet Kohli 35 124 0 06 Mar 2017
Query Efficient Posterior Estimation in Scientific Experiments via Bayesian Active Learning Kirthevasan Kandasamy J. Schneider Barnabás Póczós 25 29 0 03 Feb 2017
Bayesian Optimization with Exponential Convergence Kenji Kawaguchi L. Kaelbling Tomás Lozano-Pérez 28 106 0 05 Apr 2016
Multi-fidelity Gaussian Process Bandit Optimisation Kirthevasan Kandasamy Gautam Dasarathy Junier B. Oliva J. Schneider Barnabás Póczós 14 76 0 20 Mar 2016
Bayesian Optimization with Dimension Scheduling: Application to Biological Systems Doniyor Ulmasov C. Baroukh Benoît Chachuat M. Deisenroth Ruth Misener 23 40 0 17 Nov 2015
Optimization as Estimation with Gaussian Processes in Bandit Settings Zi Wang Bolei Zhou Stefanie Jegelka GP 37 78 0 21 Oct 2015