A Tutorial on Bayesian Optimization

8 July 2018

Papers citing "A Tutorial on Bayesian Optimization"

50 / 627 papers shown

Title
An Ergodic Measure for Active Learning From Equilibrium Ian Abraham A. Prabhakar Todd D. Murphey 26 22 0 05 Jun 2020
Bayesian optimization for modular black-box systems with switching costs Chi-Heng Lin Joseph D. Miano Eva L. Dyer 8 5 0 04 Jun 2020
Autonomous Materials Discovery Driven by Gaussian Process Regression with Inhomogeneous Measurement Noise and Anisotropic Kernels M. Noack G. Doerk Ruipeng Li Jason K. Streit R. Vaia Kevin Yager M. Fukuto 18 70 0 03 Jun 2020
Automatic Setting of DNN Hyper-Parameters by Mixing Bayesian Optimization and Tuning Rules Michele Fraccaroli E. Lamma Fabrizio Riguzzi BDL 11 2 0 03 Jun 2020
Geometric Graph Representations and Geometric Graph Convolutions for Deep Learning on Three-Dimensional (3D) Graphs Daniel T. Chang GNN 18 3 0 02 Jun 2020
Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization Jingfan Chen Guanghui Zhu Chun Yuan Yihua Huang 16 15 0 29 May 2020
Fast differentiable DNA and protein sequence optimization for molecular design Johannes Linder Georg Seelig 41 54 0 22 May 2020
Upper Trust Bound Feasibility Criterion for Mixed Constrained Bayesian Optimization with Application to Aircraft Design R. Priem N. Bartoli Y. Diouane A. Sgueglia 6 46 0 11 May 2020
Human Strategic Steering Improves Performance of Interactive Optimization Fabio Colella Pedram Daee Jussi P. P. Jokinen Antti Oulasvirta Samuel Kaski LLMSV 6 9 0 04 May 2020
AutoTune: Automatically Tuning Convolutional Neural Networks for Improved Transfer Learning S. H. Shabbeer Basha Sravan Kumar Vinakota Viswanath Pulabaigari Snehasis Mukherjee S. Dubey 24 39 0 25 Apr 2020
Bayesian Optimization with Output-Weighted Optimal Sampling A. Blanchard T. Sapsis 19 7 0 22 Apr 2020
The SPDE Approach to Matérn Fields: Graph Representations D. Sanz-Alonso Ruiyi Yang 14 18 0 16 Apr 2020
Combinatorial 3D Shape Generation via Sequential Assembly Jungtaek Kim H. Chung Jinhwi Lee Minsu Cho Jaesik Park 23 21 0 16 Apr 2020
Computing Bayes: Bayesian Computation from 1763 to the 21st Century G. Martin David T. Frazier Christian P. Robert 42 17 0 14 Apr 2020
Bayesian optimisation of large-scale photonic reservoir computers P. Antonik N. Marsal Daniel Brunner D. Rontani 11 22 0 06 Apr 2020
NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search Chen Wei Chuang Niu Yiping Tang Yue Wang Haihong Hu Jimin Liang 30 7 0 28 Mar 2020
Regret and Belief Complexity Trade-off in Gaussian Process Bandits via Information Thresholding Amrit Singh Bedi Dheeraj Peddireddy Vaneet Aggarwal Brian M. Sadler Alec Koppel 8 1 0 23 Mar 2020
Cost-aware Bayesian Optimization E. Lee Valerio Perrone Cédric Archambeau Matthias Seeger 22 56 0 22 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
ENTMOOT: A Framework for Optimization over Ensemble Tree Models Alexander Thebelt Jan Kronqvist Miten Mistry Robert M. Lee Nathan Sudermann-Merx Ruth Misener 29 54 0 10 Mar 2020
Automatic Hyper-Parameter Optimization Based on Mapping Discovery from Data to Hyper-Parameters Bozhou Chen Kaixin Zhang Longshen Ou Chenmin Ba Hongzhi Wang Chunnan Wang 19 2 0 03 Mar 2020
Adaptive Structural Hyper-Parameter Configuration by Q-Learning Haotian Zhang Jianyong Sun Zongben Xu 6 11 0 02 Mar 2020
Mixed Strategies for Robust Optimization of Unknown Objectives Pier Giuseppe Sessa Ilija Bogunovic Maryam Kamgarpour Andreas Krause 31 11 0 28 Feb 2020
Practical Bayesian Optimization of Objectives with Conditioning Variables Michael Pearce Janis Klaise Matthew J. Groves 20 1 0 23 Feb 2020
Scalable Constrained Bayesian Optimization David Eriksson Matthias Poloczek 33 95 0 20 Feb 2020
Weakly-supervised Multi-output Regression via Correlated Gaussian Processes Seokhyun Chung Raed Al Kontar Zhenke Wu 21 3 0 19 Feb 2020
Reward Design for Driver Repositioning Using Multi-Agent Reinforcement Learning Zhenyu Shou Xuan Di 16 57 0 17 Feb 2020
Computing the racing line using Bayesian optimization Achin Jain M. Morari 29 33 0 12 Feb 2020
Uncertainty Quantification for Bayesian Optimization Rui Tuo Wei Cao UQCV 4 5 0 04 Feb 2020
Self-Directed Online Machine Learning for Topology Optimization Changyu Deng Yizhou Wang Can Qin Yun Fu Wei Lu AI4CE 14 73 0 04 Feb 2020
Comparison of Syntactic and Semantic Representations of Programs in Neural Embeddings Austin P. Wright H. Wiklicky GNN NAI 21 0 0 24 Jan 2020
AutoFCL: Automatically Tuning Fully Connected Layers for Handling Small Dataset S. H. Shabbeer Basha Sravan Kumar Vinakota S. Dubey Viswanath Pulabaigari Snehasis Mukherjee 11 4 0 22 Jan 2020
Distributionally Robust Bayesian Quadrature Optimization Thanh Tang Nguyen Sunil R. Gupta Huong Ha Santu Rana Svetha Venkatesh 12 28 0 19 Jan 2020
Scalable Hyperparameter Optimization with Lazy Gaussian Processes Raju Ram Sabine Müller Franz-Josef Pfreundt N. Gauger J. Keuper GP 13 5 0 16 Jan 2020
Bayesian Hyperparameter Optimization with BoTorch, GPyTorch and Ax Daniel T. Chang BDL AI4CE 9 11 0 11 Dec 2019
BERT for Large-scale Video Segment Classification with Test-time Augmentation Tianqi Liu Qizhan Shao 32 4 0 02 Dec 2019
Multi-Attribute Bayesian Optimization With Interactive Preference Learning Raul Astudillo P. Frazier 14 33 0 14 Nov 2019
Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout Xubo Yue Raed Al Kontar 26 38 0 04 Nov 2019
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search Colin White Willie Neiswanger Yash Savani BDL 45 314 0 25 Oct 2019
Dynamic Subgoal-based Exploration via Bayesian Optimization Yijia Wang Matthias Poloczek Daniel R. Jiang 34 3 0 21 Oct 2019
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization Maximilian Balandat Brian Karrer Daniel R. Jiang Sam Daulton Benjamin Letham A. Wilson E. Bakshy 32 93 0 14 Oct 2019
Kernels over Sets of Finite Sets using RKHS Embeddings, with Application to Bayesian (Combinatorial) Optimization Poompol Buathong D. Ginsbourger Tipaluck Krityakierne BDL 29 22 0 09 Oct 2019
mfEGRA: Multifidelity Efficient Global Reliability Analysis through Active Learning for Failure Boundary Location A. Chaudhuri A. Marques Karen E. Willcox 21 24 0 06 Oct 2019
Scalable Global Optimization via Local Bayesian Optimization Samyam Rajbhandari Michael Pearce Jacob R. Gardner Ryan D. Turner Matthias Poloczek 51 452 0 03 Oct 2019
Attacking Vision-based Perception in End-to-End Autonomous Driving Models Adith Boloor Karthik Garimella Xin He C. Gill Yevgeniy Vorobeychik Xuan Zhang AAML 19 106 0 02 Oct 2019
Black-box Adversarial Attacks with Bayesian Optimization Satya Narayan Shukla Anit Kumar Sahu Devin Willmott J. Zico Kolter AAML MLAU 14 30 0 30 Sep 2019
Bayesian Optimization for Iterative Learning Vu-Linh Nguyen Sebastian Schulze Michael A. Osborne BDL 13 32 0 20 Sep 2019
Prediction of rare feature combinations in population synthesis: Application of deep generative modelling Sergio Garrido S. Borysov Francisco Câmara Pereira Jeppe Rich 15 42 0 17 Sep 2019
Deep Prediction of Investor Interest: a Supervised Clustering Approach Baptiste Barreau Laurent Carlier D. Challet 12 1 0 11 Sep 2019