Portfolio Allocation for Bayesian Optimization

28 September 2010

Matthew W. Hoffman

Papers citing "Portfolio Allocation for Bayesian Optimization"

50 / 109 papers shown

Title
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance Sudeep Salgia Sattar Vakili Qing Zhao 48 33 0 27 Oct 2020
Robust walking based on MPC with viability guarantees Mohammad Hasan Yeganegi Majid Khadiv Andrea Del Prete S. A. A. Moosavian Ludovic Righetti 19 25 0 09 Oct 2020
IntelligentPooling: Practical Thompson Sampling for mHealth Sabina Tomkins Peng Liao P. Klasnja Susan Murphy 39 30 0 31 Jul 2020
History matching with probabilistic emulators and active learning A. Garbuno-Iñigo F. DiazDelaO Konstantin Zuev 11 1 0 16 Apr 2020
Streamlined Empirical Bayes Fitting of Linear Mixed Models in Mobile Health M. Menictas Sabina Tomkins Susan Murphy OffRL 20 0 0 28 Mar 2020
aphBO-2GP-3B: A budgeted asynchronous parallel multi-acquisition functions for constrained Bayesian optimization on high-performing computing architecture Anh Tran J. Furlan T. Wildey S. McCann K. Pagalthivarthi R. Visintainer 28 9 0 20 Mar 2020
Hyper-Parameter Optimization: A Review of Algorithms and Applications Tong Yu Hong Zhu AAML 21 521 0 12 Mar 2020
Efficient Rollout Strategies for Bayesian Optimization E. Lee David Eriksson Bolong Cheng M. McCourt D. Bindel 21 24 0 24 Feb 2020
Rapidly Personalizing Mobile Health Treatment Policies with Limited Data Sabina Tomkins Peng Liao P. Klasnja Serena Yeung Susan Murphy 44 6 0 23 Feb 2020
Expected Improvement versus Predicted Value in Surrogate-Based Optimization Frederik Rehbach Martin Zaefferer B. Naujoks T. Bartz-Beielstein 23 24 0 09 Jan 2020
Investigating Active Learning and Meta-Learning for Iterative Peptide Design Rainier Barrett A. White 16 2 0 20 Nov 2019
Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters Marius Lindauer Matthias Feurer Katharina Eggensperger André Biedenkapp Frank Hutter 28 18 0 19 Aug 2019
Automatic Calibration of Dynamic and Heterogeneous Parameters in Agent-based Model Dongjun Kim Tae-Sub Yun Il-Chul Moon 11 3 0 09 Aug 2019
No-PASt-BO: Normalized Portfolio Allocation Strategy for Bayesian Optimization Thiago de P. Vasconcelos Daniel Augusto R. M. A. de Souza C. L. C. Mattos Joao P. P. Gomes 9 11 0 01 Aug 2019
Robust Humanoid Locomotion Using Trajectory Optimization and Sample-Efficient Learning Mohammad Hasan Yeganegi Majid Khadiv S. A. A. Moosavian Jia Jie Zhu Andrea Del Prete Ludovic Righetti 26 15 0 10 Jul 2019
Neuromorphic Architecture Optimization for Task-Specific Dynamic Learning Sandeep Madireddy A. Yanguas-Gil Prasanna Balaprakash 20 1 0 04 Jun 2019
DEEP-BO for Hyperparameter Optimization of Deep Networks Hyunghun Cho Yongjin Kim Eunjung Lee Daeyoung Choi Yongjae Lee Wonjong Rhee 13 1 0 23 May 2019
An Optimal Private Stochastic-MAB Algorithm Based on an Optimal Private Stopping Rule Touqir Sajed Or Sheffet 13 46 0 22 May 2019
Bayesian Optimization using Deep Gaussian Processes Ali Hebbal Loïc Brevault M. Balesdent El-Ghazali Talbi N. Melab GP 22 69 0 07 May 2019
Algorithm Portfolio for Individual-based Surrogate-Assisted Evolutionary Algorithms Hao Tong Jialin Liu Xin Yao 11 3 0 22 Apr 2019
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning Han Guo Ramakanth Pasunuru Joey Tianyi Zhou 25 47 0 08 Apr 2019
Sampling Acquisition Functions for Batch Bayesian Optimization Alessandro De Palma Celestine Mendler-Dünner Thomas Parnell Andreea Anghel H. Pozidis 39 13 0 22 Mar 2019
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 34 174 0 15 Mar 2019
Weak in the NEES?: Auto-tuning Kalman Filters with Bayesian Optimization Zhaozhong Chen Christoffer Heckman S. Julier Nisar R. Ahmed 10 60 0 23 Jul 2018
New Heuristics for Parallel and Scalable Bayesian Optimization Ran Rubin 18 0 0 01 Jul 2018
On Adaptive Estimation for Dynamic Bernoulli Bandits Xueguang Lu N. Adams N. Kantas 15 8 0 08 Dec 2017
Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct Search Luigi Acerbi Wei Ji 24 218 0 11 May 2017
Metacontrol for Adaptive Imagination-Based Optimization Jessica B. Hamrick A. J. Ballard Razvan Pascanu Oriol Vinyals N. Heess Peter W. Battaglia 27 69 0 07 May 2017
On Kernelized Multi-armed Bandits Sayak Ray Chowdhury Aditya Gopalan 35 449 0 03 Apr 2017
Adaptive Simulation-based Training of AI Decision-makers using Bayesian Optimization Brett W. Israelsen Nisar R. Ahmed Kenneth Center R. Green W. Bennett 24 1 0 27 Mar 2017
Towards Adaptive Training of Agent-based Sparring Partners for Fighter Pilots Brett W. Israelsen Nisar R. Ahmed Kenneth Center R. Green W. Bennett 18 8 0 13 Dec 2016
Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning Yulia Tsvetkov Manaal Faruqui Wang Ling B. MacWhinney Chris Dyer 37 89 0 12 May 2016
A sequential Monte Carlo approach to Thompson sampling for Bayesian optimization Hildo Bijl Thomas B. Schon J. Wingerden M. Verhaegen 19 25 0 01 Apr 2016
FLASH: Fast Bayesian Optimization for Data Analytic Pipelines Yuyu Zhang M. T. Bahadori Hang Su Jimeng Sun 29 34 0 20 Feb 2016
Stopping criteria for boosting automatic experimental design using real-time fMRI with Bayesian optimization R. Lorenz R. Monti I. Violante Aldo A. Faisal C. Anagnostopoulos R. Leech Giovanni Montana 31 25 0 24 Nov 2015
High Dimensional Bayesian Optimisation and Bandits via Additive Models Kirthevasan Kandasamy J. Schneider Barnabás Póczós 28 349 0 05 Mar 2015
Bayesian Optimization of Text Representations Dani Yogatama Noah A. Smith BDL 45 42 0 02 Mar 2015
Scalable Bayesian Optimization Using Deep Neural Networks Jasper Snoek Oren Rippel Kevin Swersky Ryan Kiros N. Satish N. Sundaram Md. Mostofa Ali Patwary P. Prabhat Ryan P. Adams BDL UQCV 55 1,035 0 19 Feb 2015
Heteroscedastic Treed Bayesian Optimisation Yannis Assael Ziyun Wang Bobak Shahriari Nando de Freitas 41 48 0 27 Oct 2014
Theoretical Analysis of Bayesian Optimisation with Unknown Gaussian Process Hyper-Parameters Ziyun Wang Nando de Freitas 49 89 0 30 Jun 2014
An Entropy Search Portfolio for Bayesian Optimization Bobak Shahriari Ziyun Wang Matthew W. Hoffman Alexandre Bouchard-Côté Nando de Freitas 42 57 0 18 Jun 2014
Freeze-Thaw Bayesian Optimization Kevin Swersky Jasper Snoek Ryan P. Adams 59 267 0 16 Jun 2014
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions José Miguel Hernández-Lobato Matthew W. Hoffman Zoubin Ghahramani 43 640 0 10 Jun 2014
BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits Ruben Martinez-Cantin 38 284 0 29 May 2014
Active Learning for Autonomous Intelligent Agents: Exploration, Curiosity, and Interaction M. Lopes Luis Montesano 43 14 0 06 Mar 2014
Bayesian Multi-Scale Optimistic Optimization Ziyun Wang B. Shakibi L. Jin Nando de Freitas 80 95 0 27 Feb 2014
Input Warping for Bayesian Optimization of Non-stationary Functions Jasper Snoek Kevin Swersky R. Zemel Ryan P. Adams 50 235 0 05 Feb 2014
No Free Lunch Theorem and Bayesian probability theory: two sides of the same coin. Some implications for black-box optimization and metaheuristics L. Serafino 31 8 0 23 Nov 2013
BayesOpt: A Library for Bayesian optimization with Robotics Applications Ruben Martinez-Cantin 43 0 0 03 Sep 2013
Exploiting correlation and budget constraints in Bayesian multi-armed bandit optimization Matthew W. Hoffman Bobak Shahriari Nando de Freitas 32 15 0 27 Mar 2013