Improving the Expected Improvement Algorithm

29 May 2017

Papers citing "Improving the Expected Improvement Algorithm"

50 / 57 papers shown

Title
Saga: Capturing Multi-granularity Semantics from Massive Unlabelled IMU Data for User Perception Yunzhe Li Facheng Hu Hongzi Zhu Shifan Zhang Liang Zhang Shan Chang Minyi Guo 46 0 0 16 Apr 2025
Co-Learning Bayesian Optimization Zhendong Guo Yew-Soon Ong Tiantian He Haitao Liu 108 2 0 23 Jan 2025
Best-Arm Identification in Unimodal Bandits Riccardo Poiani Marc Jourdan E. Kaufmann Rémy Degenne 32 0 0 04 Nov 2024
AExGym: Benchmarks and Environments for Adaptive Experimentation Jimmy Wang Ethan Che Daniel R. Jiang Hongseok Namkoong 47 0 0 08 Aug 2024
Pure Exploration for Constrained Best Mixed Arm Identification with a Fixed Budget Dengwang Tang Rahul Jain Ashutosh Nayyar Pierluigi Nuzzo 53 0 0 23 May 2024
Machine Learning-Guided Design of Non-Reciprocal and Asymmetric Elastic Chiral Metamaterials Lingxiao Yuan Emma Lejeune Harold S. Park 28 0 0 19 Apr 2024
Enabling Uncertainty Estimation in Iterative Neural Networks N. Durasov Doruk Öner Jonathan Donier Hieu M. Le Pascal Fua UQCV 54 8 0 25 Mar 2024
Fixed Confidence Best Arm Identification in the Bayesian Setting Kyoungseok Jang Junpei Komiyama Kazutoshi Yamazaki 19 0 0 16 Feb 2024
Adaptive Experimental Design for Policy Learning Masahiro Kato Kyohei Okumura Takuya Ishihara Toru Kitagawa OffRL 44 0 0 08 Jan 2024
Worst-Case Optimal Multi-Armed Gaussian Best Arm Identification with a Fixed Budget Masahiro Kato 42 3 0 30 Oct 2023
Improving the Knowledge Gradient Algorithm Yang Le Siyang Gao Ho Chin Pang 13 2 0 27 Oct 2023
Optimal Exploration is no harder than Thompson Sampling Zhaoqi Li Kevin Jamieson Lalit P. Jain 27 2 0 09 Oct 2023
Thompson Exploration with Best Challenger Rule in Best Arm Identification Jongyeong Lee Junya Honda Masashi Sugiyama 33 3 0 01 Oct 2023
Price of Safety in Linear Best Arm Identification Xuedong Shang Igor Colin M. Barlier Hamza Cherkaoui LLMSV 29 3 0 15 Sep 2023
Top-Two Thompson Sampling for Contextual Top-mc Selection Problems Xinbo Shi Yijie Peng Gongbo Zhang 24 1 0 30 Jun 2023
Self-Adjusting Weighted Expected Improvement for Bayesian Optimization C. Benjamins Elena Raponi Anja Jankovic Carola Doerr Marius Lindauer TPM 32 3 0 07 Jun 2023
Sequential Best-Arm Identification with Application to Brain-Computer Interface Xiaoping Zhou Botao Hao Jian Kang Tor Lattimore Lexin Li 35 2 0 17 May 2023
Self-Correcting Bayesian Optimization through Bayesian Active Learning Carl Hvarfner E. Hellsten Frank Hutter Luigi Nardi GP 43 15 0 21 Apr 2023
Adaptive Experimentation at Scale: A Computational Framework for Flexible Batches Ethan Che Hongseok Namkoong OffRL 51 1 0 21 Mar 2023
Asymptotically Optimal Fixed-Budget Best Arm Identification with Variance-Dependent Bounds Masahiro Kato Masaaki Imaizumi Takuya Ishihara T. Kitagawa 53 2 0 06 Feb 2023
Best Arm Identification in Stochastic Bandits: Beyond $β-$ optimality Arpan Mukherjee A. Tajer 33 3 0 10 Jan 2023
Fast and Scalable Signal Inference for Active Robotic Source Seeking Chris Denniston Oriana Peltzer Joshua Ott S. Moon Sung-Kyun Kim Gaurav Sukhatme Mykel J. Kochenderfer Mac Schwager Ali-akbar Agha-mohammadi 25 5 0 06 Jan 2023
Convergence Rate Analysis for Optimal Computing Budget Allocation Algorithms Yanwen Li Siyang Gao 35 10 0 27 Nov 2022
Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis C. Benjamins Anja Jankovic Elena Raponi K. Blom Marius Lindauer Carola Doerr 33 5 0 17 Nov 2022
PI is back! Switching Acquisition Functions in Bayesian Optimization C. Benjamins Elena Raponi Anja Jankovic K. Blom Maria Laura Santoni Marius Lindauer Carola Doerr 38 5 0 02 Nov 2022
Non-Asymptotic Analysis of a UCB-based Top Two Algorithm Marc Jourdan Rémy Degenne 41 8 0 11 Oct 2022
Best Arm Identification with Contextual Information under a Small Gap Masahiro Kato Masaaki Imaizumi Takuya Ishihara T. Kitagawa 27 2 0 15 Sep 2022
Active Sampling of Multiple Sources for Sequential Estimation Arpan Mukherjee A. Tajer Pin-Yu Chen Payel Das 18 4 0 10 Aug 2022
SPRT-based Efficient Best Arm Identification in Stochastic Bandits Arpan Mukherjee A. Tajer 16 5 0 22 Jul 2022
On the Finite-Time Performance of the Knowledge Gradient Algorithm Yanwen Li Siyang Gao 38 4 0 14 Jun 2022
Top Two Algorithms Revisited Marc Jourdan Rémy Degenne Dorian Baudry R. D. Heide E. Kaufmann 26 38 0 13 Jun 2022
Information-Directed Selection for Top-Two Algorithms Wei You Chao Qin Zihao Wang Shuoguang Yang 38 13 0 24 May 2022
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization Hung The Tran Sunil R. Gupta Santu Rana Svetha Venkatesh 15 12 0 15 Mar 2022
Adaptive Experimentation in the Presence of Exogenous Nonstationary Variation Chao Qin Daniel Russo 58 6 0 18 Feb 2022
Suboptimal Performance of the Bayes Optimal Algorithm in Frequentist Best Arm Identification Junpei Komiyama 27 1 0 10 Feb 2022
Informative Path Planning to Estimate Quantiles for Environmental Analysis Isabel M. Rayas Fernández Chris Denniston D. Caron Gaurav Sukhatme 41 16 0 25 Jan 2022
Optimal Best Arm Identification in Two-Armed Bandits with a Fixed Budget under a Small Gap Masahiro Kato Kaito Ariu Masaaki Imaizumi and Masahiro Nomura Chao Qin 46 3 0 12 Jan 2022
Towards Futuristic Autonomous Experimentation--A Surprise-Reacting Sequential Experiment Policy Imtiaz Ahmed Satish Bukkapatnam Bhaskar Botcha Yucheng Ding 41 5 0 01 Dec 2021
Rate-optimal Bayesian Simple Regret in Best Arm Identification Junpei Komiyama Kaito Ariu Masahiro Kato Chao Qin 16 10 0 18 Nov 2021
Vector Optimization with Stochastic Bandit Feedback Shiao Liu Jian Huang 36 8 0 23 Oct 2021
DEBOSH: Deep Bayesian Shape Optimization N. Durasov Artem Lukoyanov Jonathan Donier Pascal Fua UQCV AI4CE 38 15 0 28 Sep 2021
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization Marco Rando Luigi Carratino S. Villa Lorenzo Rosasco 44 5 0 16 Jun 2021
One-parameter family of acquisition functions for efficient global optimization T. Kanazawa 35 2 0 26 Apr 2021
Output-Weighted Sampling for Multi-Armed Bandits with Extreme Payoffs Yibo Yang A. Blanchard T. Sapsis P. Perdikaris 19 19 0 19 Feb 2021
NPAS: A Compiler-aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration Zhengang Li Geng Yuan Wei Niu Pu Zhao Yanyu Li ... Sijia Liu Kaiyuan Yang Bin Ren Yanzhi Wang Xue Lin MQ 36 27 0 01 Dec 2020
$Stochastic Bandits with Vector Losses: Minimizing $\ell^\infty$-Norm of Relative Losses$ Stochastic Bandits with Vector Losses: Minimizing $\ell^\infty$ -Norm of Relative Losses Xuedong Shang Han Shao Jian Qian 24 0 0 15 Oct 2020
Gamification of Pure Exploration for Linear Bandits Rémy Degenne Pierre Ménard Xuedong Shang Michal Valko 13 76 0 02 Jul 2020
Neural Network Retraining for Model Serving Diego Klabjan Xiaofeng Zhu CLL 29 10 0 29 Apr 2020
Efficient Rollout Strategies for Bayesian Optimization E. Lee David Eriksson Bolong Cheng M. McCourt D. Bindel 21 24 0 24 Feb 2020
Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and Summarisation Edwin Simpson Yang Gao Iryna Gurevych BDL 21 10 0 22 Nov 2019