A Tutorial on Bayesian Optimization

8 July 2018

Papers citing "A Tutorial on Bayesian Optimization"

50 / 627 papers shown

Title
Collaborative and Federated Black-box Optimization: A Bayesian Optimization Perspective Raed Al Kontar FedML 40 1 0 12 Nov 2024
Reducing Hyperparameter Tuning Costs in ML, Vision and Language Model Training Pipelines via Memoization-Awareness Abdelmajid Essofi Ridwan Salahuddeen Munachiso Nwadike Elnura Zhalieva Kun Zhang Eric P. Xing Willie Neiswanger Qirong Ho VLM 49 0 0 06 Nov 2024
Pathway-Guided Optimization of Deep Generative Molecular Design Models for Cancer Therapy Alif Bin Abdul Qayyum S. Mertins Amanda K. Paulson Nathan M. Urban Byung-Jun Yoon 39 0 0 05 Nov 2024
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models Jianyi Zhang Da-Cheng Juan Cyrus Rashtchian Chun-Sung Ferng Heinrich Jiang Yiran Chen 45 4 0 01 Nov 2024
Residual Deep Gaussian Processes on Manifolds Kacper Wyrwal Andreas Krause Viacheslav Borovitskiy BDL 57 0 0 31 Oct 2024
Practical Bayesian Algorithm Execution via Posterior Sampling Chu Xin Cheng Raul Astudillo Thomas Desautels Yisong Yue 43 0 0 27 Oct 2024
Multi-objective Optimization in CPU Design Space Exploration: Attention is All You Need Runzhen Xue Hao Wu Yurui Lai Ziheng Xiao Mingyu Yan Xiaochun Ye 19 1 0 24 Oct 2024
Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation Yilin Xie Shiqiang Zhang J. Paulson Calvin Tsay 33 5 0 22 Oct 2024
Online Optimization of Central Pattern Generators for Quadruped Locomotion Zewei Zhang Guillaume Bellegarda M. Shafiee A. Ijspeert 16 2 0 21 Oct 2024
Efficient Non-Myopic Layered Bayesian Optimization For Large-Scale Bathymetric Informative Path Planning Alexander Kiessling Ignacio Torroba Chelsea Sidrane Ivan Stenius Jana Tumova John Folkesson 15 1 0 21 Oct 2024
Efficient Parameter Tuning for a Structure-Based Virtual Screening HPC Application Bruno Guindani Davide Gadioli Roberto Rocco Danilo Ardagna G. Palermo 36 0 0 18 Oct 2024
Building Trust in Black-box Optimization: A Comprehensive Framework for Explainability Nazanin Nezami Hadis Anahideh 21 0 0 18 Oct 2024
Optimizing Collaborative Robotics since Pre-Deployment via Cyber-Physical Systems' Digital Twins Christian Cella Marco Faroni Andrea Zanchettin Paolo Rocco AI4CE 30 0 0 18 Oct 2024
Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting Chunlin Tian Li Li Kahou Tam Yebo Wu Chengzhong Xu FedML 34 3 0 12 Oct 2024
Efficient Hyperparameter Importance Assessment for CNNs Ruinan Wang Ian Nabney Mohammad Golbabaee 26 1 0 11 Oct 2024
Batched Energy-Entropy acquisition for Bayesian Optimization Felix Teufel Carsten Stahlhut J. Ferkinghoff-Borg 43 0 0 11 Oct 2024
MM-Ego: Towards Building Egocentric Multimodal LLMs for Video QA Hanrong Ye Haotian Zhang Erik Daxberger Lin Chen Zongyu Lin ... Haoxuan You Dan Xu Zhe Gan Jiasen Lu Yinfei Yang EgoV MLLM 88 12 0 09 Oct 2024
MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences Genta Indra Winata David Anugraha Lucky Susanto Garry Kuwanto Derry Wijaya 44 8 0 03 Oct 2024
Optimization of Actuarial Neural Networks with Response Surface Methodology Belguutei Ariuntugs Kehelwala Dewage Gayan Madurang 23 0 0 01 Oct 2024
Analysis and Optimization of Seismic Monitoring Networks with Bayesian Optimal Experiment Design Jake Callahan Kevin Monogue Ruben Villarreal Tommie A. Catanach 21 0 0 27 Sep 2024
Full-Order Sampling-Based MPC for Torque-Level Locomotion Control via Diffusion-Style Annealing Haoru Xue Chaoyi Pan Zeji Yi Guannan Qu Guanya Shi 46 15 0 23 Sep 2024
Supply Risk-Aware Alloy Discovery and Design Mrinalini Mulukutla Robert Robinson Danial Khatamsaz Brent Vela Nhu Vu Raymundo Arroyave 19 0 0 22 Sep 2024
Swine Diet Design using Multi-objective Regionalized Bayesian Optimization Gabriel D. Uribe-Guerra Danny A. Múnera-Ramírez Julián D. Arias-Londoño 31 0 0 19 Sep 2024
DIGIMON: Diagnosis and Mitigation of Sampling Skew for Reinforcement Learning based Meta-Planner in Robot Navigation Shiwei Feng Xuan Chen Zhiyuan Cheng Zikang Xiong Yifei Gao Siyuan Cheng Sayali Kate Xiangyu Zhang OffRL 28 0 0 17 Sep 2024
Optimizing Falsification for Learning-Based Control Systems: A Multi-Fidelity Bayesian Approach Zahra Shahrooei Mykel J. Kochenderfer Ali Baheri 31 1 0 12 Sep 2024
$Federated $\mathcal{X}$-armed Bandit with Flexible Personalisation$ Federated $\mathcal{X}$ -armed Bandit with Flexible Personalisation Ali Arabzadeh James A. Grant David S. Leslie FedML 21 0 0 11 Sep 2024
Sample-Efficient Bayesian Optimization with Transfer Learning for Heterogeneous Search Spaces Aryan Deshwal Sait Cakmak Yuhou Xia David Eriksson 48 0 0 09 Sep 2024
PACSBO: Probably approximately correct safe Bayesian optimization Abdullah Tokmak Thomas B. Schon Dominik Baumann 37 2 0 02 Sep 2024
DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism Xiaoyan Yu Yifan Wei Pu Li Shuaishuai Zhou Hao Peng Li Sun Liehuang Zhu Philip S. Yu FedML 29 1 0 01 Sep 2024
Bayesian Optimization for Non-Convex Two-Stage Stochastic Optimization Problems Jack M. Buckingham Ivo Couckuyt Juergen Branke 43 0 0 30 Aug 2024
Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers Sayed Mohammad Vakilzadeh Hatefi Maximilian Dreyer Reduan Achtibat Thomas Wiegand Wojciech Samek Sebastian Lapuschkin ViT 34 1 0 22 Aug 2024
QuaCK-TSF: Quantum-Classical Kernelized Time Series Forecasting Abdallah Aaraba Soumaya Cherkaoui Ola Ahmad J. Laprade Olivier Nahman-Lévesque Alexis Vieloszynski Shengrui Wang BDL AI4TS 37 1 0 21 Aug 2024
Preference-Optimized Pareto Set Learning for Blackbox Optimization Zhang Haishan Diptesh Das Koji Tsuda 46 1 0 19 Aug 2024
Differentiating Policies for Non-Myopic Bayesian Optimization Darian Nwankwo David Bindel 25 0 0 14 Aug 2024
An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management Systems Taeyoung Yun Kanghoon Lee Sujin Yun Ilmyung Kim Won-Woo Jung Min-Cheol Kwon Kyujin Choi Yoohyeon Lee Jinkyoo Park 33 0 0 14 Aug 2024
Kernel Sum of Squares for Data Adapted Kernel Learning of Dynamical Systems from Data: A global optimization approach Daniel Lengyel P. Parpas B. Hamzi H. Owhadi 35 1 0 12 Aug 2024
BoFire: Bayesian Optimization Framework Intended for Real Experiments Johannes P. Dürholt Thomas S Asche Johanna Kleinekorte Gabriel Mancino-Ball Benjamin Schiller ... Robert M. Lee Dominik Linzner David Walz Niklas Wulkow B. Shafei AI4CE 23 3 0 09 Aug 2024
Maximum a Posteriori Estimation for Linear Structural Dynamics Models Using Bayesian Optimization with Rational Polynomial Chaos Expansions Felix Schneider I. Papaioannou Bruno Sudret Gerhard Muller 23 1 0 07 Aug 2024
IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection Hong Guan Yancheng Wang Lulu Xie Soham Nag Rajeev Goel ... Yingzhen Yang Chaowei Xiao Jonathan Prisby Ross Maciejewski Jia Zou 41 1 0 03 Aug 2024
Aggregation Models with Optimal Weights for Distributed Gaussian Processes Liam Hebert Sukhdeep S. Sodhi 27 0 0 01 Aug 2024
Gaussian Processes Sampling with Sparse Grids under Additive Schwarz Preconditioner Haoyuan Chen Rui Tuo 40 0 0 01 Aug 2024
Surrogate-guided optimization in quantum networks Luise Prielinger Á. G. Iñesta Gayane Vardoyan 11 0 0 24 Jul 2024
Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Space Tigran Ramazyan M. Hushchyn D. Derkach 38 0 0 16 Jul 2024
Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking Neural Networks for Energy-Efficient Edge Computing Biswadeep Chakraborty Saibal Mukhopadhyay 38 2 0 08 Jul 2024
Diffusion-BBO: Diffusion-Based Inverse Modeling for Online Black-Box Optimization D. Wu Nikki Lijing Kuang Ruijia Niu Yi Ma Rose Yu 52 1 0 30 Jun 2024
Modularity Based Community Detection in Hypergraphs Bogumił Kamiński Paweł Misiorek P. Prałat François Théberge 30 3 0 25 Jun 2024
Anvil: An integration of artificial intelligence, sampling techniques, and a combined CAD-CFD tool Harsh Vardhan U. Timalsina Michael Sandborn David Hyde Péter Völgyesi J. Sztipanovits 31 0 0 24 Jun 2024
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization Jacob O. Tørring Carl Hvarfner Luigi Nardi Magnus Sjalander 63 0 0 24 Jun 2024
Quantum Architecture Search: A Survey Darya Martyniuk Johannes Jung Adrian Paschke AI4CE 41 8 0 10 Jun 2024
Physics-Informed Bayesian Optimization of Variational Quantum Circuits K. Nicoli Christopher J. Anders L. Funcke T. Hartung Karl Jansen Stefan Kühn Klaus-Robert Müller Paolo Stornati Pan Kessel Shinichi Nakajima 37 11 0 10 Jun 2024