A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

12 December 2010

Papers citing "A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning"

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Hyperactive Learning (HAL) for Data-Driven Interatomic Potentials Cas van der Oord Matthias Sachs D. P. Kovács Christoph Ortner Gábor Csányi 54 65 0 09 Oct 2022
Joint Entropy Search for Multi-objective Bayesian Optimization Ben Tu Axel Gandy N. Kantas B. Shafei 40 38 0 06 Oct 2022
Generalizing Bayesian Optimization with Decision-theoretic Entropies Willie Neiswanger Lantao Yu Shengjia Zhao Chenlin Meng Stefano Ermon UQCV 50 11 0 04 Oct 2022
BayesFT: Bayesian Optimization for Fault Tolerant Neural Network Architecture Nanyang Ye Jingbiao Mei Zhicheng Fang Yuwen Zhang Ziqing Zhang Huaying Wu Xiaoyao Liang OOD 33 5 0 30 Sep 2022
Backflipping with Miniature Quadcopters by Gaussian Process Based Control and Planning Péter Antal Tamás Péni R. Tóth 45 8 0 29 Sep 2022
Multipoint-BAX: A New Approach for Efficiently Tuning Particle Accelerator Emittance via Virtual Objectives Sara Ayoub Miskovich Willie Neiswanger W. Colocho C. Emma Jacqueline Garrahan T. Maxwell C. Mayes Stefano Ermon A. Edelen Daniel Ratner 34 3 0 10 Sep 2022
Optimizing Demonstrated Robot Manipulation Skills for Temporal Logic Constraints Akshay Dhonthi Philipp Schillinger Leonel Rozo Daniele Nardi 41 7 0 07 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard Turner L. Yao BDL 87 24 0 01 Sep 2022
Black-box optimization for integer-variable problems using Ising machines and factorization machines Yuya Seki R. Tamura Shu Tanaka 22 8 0 01 Sep 2022
Fast Bayesian Optimization of Needle-in-a-Haystack Problems using Zooming Memory-Based Initialization (ZoMBI) Alexander E. Siemenn Zekun Ren Qianxiao Li Tonio Buonassisi 51 23 0 26 Aug 2022
A Survey of Open Source Automation Tools for Data Science Predictions Nicholas Hoell 32 0 0 24 Aug 2022
Bayesian Optimization Augmented with Actively Elicited Expert Knowledge Daolang Huang Louis Filstroff P. Mikkola Runkai Zheng Samuel Kaski 31 5 0 18 Aug 2022
Fixed-Point Automatic Differentiation of Forward--Backward Splitting Algorithms for Partly Smooth Functions Sheheryar Mehmood Peter Ochs 42 3 0 05 Aug 2022
Bayesian Optimization-Based Beam Alignment for MmWave MIMO Communication Systems Songjie Yang Baojuan Liu Zhiqin Hong Zhong-pei Zhang 17 8 0 28 Jul 2022
Optimization of the Shape of a Hydrokinetic Turbine's Draft Tube and Hub Assembly Using Design-by-Morphing with Bayesian Optimization Haris Moazam Sheikh Tess A. Callan Kealan J. Hennessy P. Marcus AI4CE 25 11 0 23 Jul 2022
Inference of Regulatory Networks Through Temporally Sparse Data Mohammad Alali Mahdi Imani 29 17 0 21 Jul 2022
Bayesian Generational Population-Based Training Xingchen Wan Cong Lu Jack Parker-Holder Philip J. Ball Vu-Linh Nguyen Binxin Ru Michael A. Osborne OffRL 36 15 0 19 Jul 2022
Bayesian Optimization-based Nonlinear Adaptive PID Controller Design for Robust Mobile Manipulation Hadi Hajieghrary M. Deisenroth Yasemin Bekiroglu 11 2 0 04 Jul 2022
Optimizing Training Trajectories in Variational Autoencoders via Latent Bayesian Optimization Approach Arpan Biswas Rama K Vasudevan M. Ziatdinov Sergei V. Kalinin BDL DRL 27 10 0 30 Jun 2022
Quantum Neural Architecture Search with Quantum Circuits Metric and Bayesian Optimization Trong Duong Sang T. Truong Minh Tam B. Bach Juno Ryu J. Rhee 27 15 0 28 Jun 2022
Demystifying the Adversarial Robustness of Random Transformation Defenses Chawin Sitawarin Zachary Golan-Strieb David Wagner AAML 25 20 0 18 Jun 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 45 200 0 07 Jun 2022
Efficient Minimax Optimal Global Optimization of Lipschitz Continuous Multivariate Functions Kaan Gokcesu Hakan Gokcesu 23 2 0 06 Jun 2022
Sample-Efficient Optimisation with Probabilistic Transformer Surrogates A. Maraval Matthieu Zimmer Antoine Grosnit Rasul Tutunov Jun Wang H. Ammar 35 2 0 27 May 2022
Learning to Assemble Geometric Shapes Jinhwi Lee Jungtaek Kim H. Chung Jaesik Park Minsu Cho 23 4 0 24 May 2022
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization Shouri Hu Haowei Wang Zhongxiang Dai K. H. Low Szu Hui Ng 33 4 0 10 May 2022
Designing Robust Biotechnological Processes Regarding Variabilities using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design T. H. Rodríguez Anton Sekulic Markus Lange-Hegermann Björn Frahm 26 9 0 06 May 2022
Visualization and Optimization Techniques for High Dimensional Parameter Spaces Anjul Tyagi 14 3 0 28 Apr 2022
FuncPipe: A Pipelined Serverless Framework for Fast and Cost-efficient Training of Deep Learning Models Yunzhuo Liu Bo Jiang Tian Guo Zimeng Huang Wen-ping Ma Xinbing Wang Chenghu Zhou 34 9 0 28 Apr 2022
Predicting and Optimizing for Energy Efficient ACMV Systems: Computational Intelligence Approaches Deqing Zhai Y. Soh 44 0 0 19 Apr 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic Barbara Z Cunha C. Droz A. Zine Stéphane Foulard M. Ichchou AI4CE 37 84 0 13 Apr 2022
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders Samuel Stanton Wesley J. Maddox Nate Gruver Phillip M. Maffettone E. Delaney Peyton Greenside A. Wilson BDL 43 90 0 23 Mar 2022
Skill-based Multi-objective Reinforcement Learning of Industrial Robot Tasks with Planning and Knowledge Integration Matthias Mayr Faseeh Ahmad Konstantinos Chatzilygeroudis Luigi Nardi Volker Krueger 35 28 0 18 Mar 2022
Rectified Max-Value Entropy Search for Bayesian Optimization Q. Nguyen K. H. Low Patrick Jaillet 31 5 0 28 Feb 2022
SafeAPT: Safe Simulation-to-Real Robot Learning using Diverse Policies Learned in Simulation Rituraj Kaushik Karol Arndt Ville Kyrki 29 8 0 27 Jan 2022
Automated Heart and Lung Auscultation in Robotic Physical Examinations Yifan Zhu A. Smith Kris K. Hauser 28 11 0 24 Jan 2022
A Comparative study of Hyper-Parameter Optimization Tools Shashank Shekhar Adesh Bansode Asif Salim 22 48 0 17 Jan 2022
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression Giacomo Meanti Luigi Carratino Ernesto De Vito Lorenzo Rosasco 24 12 0 17 Jan 2022
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 38 100 0 11 Jan 2022
Online Calibrated and Conformal Prediction Improves Bayesian Optimization Shachi Deshpande Charles Marx Volodymyr Kuleshov 13 7 0 08 Dec 2021
Bayesian Optimization for auto-tuning GPU kernels Floris-Jan Willemsen Rob van Nieuwpoort Ben van Werkhoven 33 20 0 26 Nov 2021
Asteroid Flyby Cycler Trajectory Design Using Deep Neural Networks N. Ozaki Kanta Yanagida Takuya Chikazawa N. Pushparaj Naoya Takeishi R. Hyodo 13 6 0 23 Nov 2021
Quality and Computation Time in Optimization Problems Zhicheng He 34 0 0 20 Nov 2021
Multi-Objective Constrained Optimization for Energy Applications via Tree Ensembles Alexander Thebelt Calvin Tsay Robert M. Lee Nathan Sudermann-Merx David Walz T. Tranter Ruth Misener AI4CE 19 30 0 04 Nov 2021
Likelihood-Free Inference in State-Space Models with Unknown Dynamics Alexander Aushev Thong Tran Henri Pesonen Andrew Howes Samuel Kaski 30 1 0 02 Nov 2021
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning H. Chung Jungtaek Kim Boris Knyazev Jinhwi Lee Graham W. Taylor Jaesik Park Minsu Cho SSL OffRL 23 20 0 29 Oct 2021
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels M. Hutchinson Alexander Terenin Viacheslav Borovitskiy So Takao Yee Whye Teh M. Deisenroth 35 20 0 27 Oct 2021
Scaling Bayesian Optimization With Game Theory L. Mathesen G. Pedrielli R. L. Smith 29 1 0 07 Oct 2021
Study of Signal Temporal Logic Robustness Metrics for Robotic Tasks Optimization Akshay Dhonthi Philipp Schillinger Leonel Rozo Daniele Nardi 38 4 0 01 Oct 2021
Non-smooth Bayesian Optimization in Tuning Problems Hengrui Luo J. Demmel Younghyun Cho Xin Li Yang Liu 25 13 0 15 Sep 2021