Practical Bayesian Optimization of Machine Learning Algorithms

13 June 2012

Papers citing "Practical Bayesian Optimization of Machine Learning Algorithms"

50 / 2,247 papers shown

Title
Self-adaptive PSRO: Towards an Automatic Population-based Game Solver Pengdeng Li Shuxin Li Chang Yang Xinrun Wang Xiao Huang Hau Chan Bo An 37 1 0 17 Apr 2024
Deep Learning and LLM-based Methods Applied to Stellar Lightcurve Classification Yu-Yang Li Yu Bai Cunshi Wang Mengwei Qu Ziteng Lu Roberto Soria Jifeng Liu 33 2 0 16 Apr 2024
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning Hui Bai Ran Cheng 53 4 0 12 Apr 2024
Efficient Training of Probabilistic Neural Networks for Survival Analysis Christian Marius Lillelund Martin Magris Christian Fischer Pedersen 28 3 0 09 Apr 2024
Hyperparameter Selection in Continual Learning Thomas L. Lee Sigrid Passano Hellan Linus Ericsson Elliot J. Crowley Amos Storkey CLL 68 0 0 09 Apr 2024
Some variation of COBRA in sequential learning setup Aryan Bhambu A. K. Dey AI4TS 40 0 0 07 Apr 2024
Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: A Multiobjective Hyperparameter and Architecture Optimization Approach Yixuan Sun O. Sowunmi Romain Egele S. Narayanan Luke Van Roekel Prasanna Balaprakash 30 1 0 07 Apr 2024
Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear Regression Tomoya Wakayama BDL 57 0 0 06 Apr 2024
Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning Yan Kang Ziyao Ren Lixin Fan Linghua Yang Yongxin Tong Qiang Yang FedML 40 0 0 06 Apr 2024
An Optimization Framework to Personalize Passive Cardiac Mechanics Lei Shi Ian Chen Hiroo Takayama Vijay Vedula 35 2 0 03 Apr 2024
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection Namyong Park Ryan Rossi Xing Wang Antoine Simoulin Nesreen K. Ahmed Christos Faloutsos VLM 57 2 0 02 Apr 2024
Budget-aware Query Tuning: An AutoML Perspective Wentao Wu Chi Wang 21 2 0 29 Mar 2024
Intelligent Learning Rate Distribution to reduce Catastrophic Forgetting in Transformers Philip Kenneweg Alexander Schulz Sarah Schröder Barbara Hammer CLL 30 3 0 27 Mar 2024
Neural Architecture Search for Sentence Classification with BERT Philip Kenneweg Sarah Schröder Barbara Hammer 18 0 0 27 Mar 2024
AID: Attention Interpolation of Text-to-Image Diffusion Qiyuan He Jinghao Wang Ziwei Liu Angela Yao DiffM 40 9 0 26 Mar 2024
Graph Bayesian Optimization for Multiplex Influence Maximization Zirui Yuan Minglai Shao Zhiqian Chen 42 6 0 25 Mar 2024
Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization Zonghan Zhang Zijian Zhang Zhiqian Chen 16 1 0 25 Mar 2024
Multiple-Input Auto-Encoder Guided Feature Selection for IoT Intrusion Detection Systems Phai Vu Dinh Diep N. Nguyen D. Hoang Nguyen Quang Uy E. Dutkiewicz Son Pham Bao 29 1 0 22 Mar 2024
Diffusion Model for Data-Driven Black-Box Optimization Zihao Li Hui Yuan Kaixuan Huang Chengzhuo Ni Yinyu Ye Minshuo Chen Mengdi Wang DiffM 40 10 0 20 Mar 2024
Chain-structured neural architecture search for financial time series forecasting Denis Levchenko Efstratios Rappos Shabnam Ataee Biagio Nigro Stephan Robert AI4TS AI4CE 48 1 0 15 Mar 2024
Bayesian Optimization that Limits Search Region to Lower Dimensions Utilizing Local GPR Yasunori Taguchi H. Gangi 27 0 0 13 Mar 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods A. Mumuni F. Mumuni 70 5 0 13 Mar 2024
Robustifying and Boosting Training-Free Neural Architecture Search Zhenfeng He Yao Shu Zhongxiang Dai K. H. Low 43 1 0 12 Mar 2024
PMBO: Enhancing Black-Box Optimization through Multivariate Polynomial Surrogates Janina Schreiber Pau Batlle D. Wicaksono Michael Hecht 19 0 0 12 Mar 2024
Calibrating Large Language Models Using Their Generations Only Dennis Ulmer Martin Gubri Hwaran Lee Sangdoo Yun Seong Joon Oh UQLM 432 18 1 09 Mar 2024
An Adaptive Dimension Reduction Estimation Method for High-dimensional Bayesian Optimization Shouri Hu Jiawei Li Zhibo Cai 35 1 0 08 Mar 2024
Rethinking of Encoder-based Warm-start Methods in Hyperparameter Optimization Dawid Pludowski Antoni Zajko Anna Kozak Katarzyna Wo'znica 25 0 0 07 Mar 2024
Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration Julian Rodemann Federico Croppi Philipp Arens Yusuf Sale J. Herbinger B. Bischl Eyke Hüllermeier Thomas Augustin Conor J. Walsh Giuseppe Casalicchio 46 7 0 07 Mar 2024
Probabilistic Topic Modelling with Transformer Representations Arik Reuter Anton Thielmann Christoph Weisser Benjamin Säfken Thomas Kneib 26 1 0 06 Mar 2024
Deep Configuration Performance Learning: A Systematic Survey and Taxonomy Jingzhi Gong Tao Chen BDL 28 3 0 05 Mar 2024
HyperPredict: Estimating Hyperparameter Effects for Instance-Specific Regularization in Deformable Image Registration Aisha L. Shuaibu Ivor J. A. Simpson 29 1 0 04 Mar 2024
Derivative-Free Optimization for Low-Rank Adaptation in Large Language Models Feihu Jin Yin Liu Ying Tan 35 3 0 04 Mar 2024
LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation Zeyuan Ma Hongshu Guo Jiacheng Chen Guojun Peng Zhiguang Cao Yining Ma Yue-jiao Gong SyDa ALM 30 17 0 02 Mar 2024
Epsilon-Greedy Thompson Sampling to Bayesian Optimization Bach Do Taiwo A. Adebiyi Ruda Zhang 39 4 0 01 Mar 2024
Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints Lingkai Kong Yuanqi Du Wenhao Mu Kirill Neklyudov Valentin De Bortol ... D. Wu Aaron Ferber Yi Ma Carla P. Gomes Chao Zhang 29 10 0 28 Feb 2024
Transfer Learning Bayesian Optimization to Design Competitor DNA Molecules for Use in Diagnostic Assays Ruby Sedgwick John P. Goertz Molly M. Stevens Ruth Misener Mark van der Wilk BDL 24 0 0 27 Feb 2024
Principled Architecture-aware Scaling of Hyperparameters Wuyang Chen Junru Wu Zhangyang Wang Boris Hanin AI4CE 49 0 0 27 Feb 2024
Stopping Bayesian Optimization with Probabilistic Regret Bounds James T. Wilson 41 4 0 26 Feb 2024
CloChat: Understanding How People Customize, Interact, and Experience Personas in Large Language Models Juhye Ha Hyeon Jeon DaEun Han Jinwook Seo Changhoon Oh 34 24 0 23 Feb 2024
Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations Xiaogang Jia Denis Blessing Xinkai Jiang Moritz Reuss Atalay Donat Rudolf Lioutikov Gerhard Neumann 47 20 0 22 Feb 2024
Global Safe Sequential Learning via Efficient Knowledge Transfer Cen-You Li Olaf Duennbier Marc Toussaint Barbara Rakitsch Christoph Zimmer 52 2 0 22 Feb 2024
FlexHB: a More Efficient and Flexible Framework for Hyperparameter Optimization Yang Zhang Haiyang Wu Yuekui Yang 43 0 0 21 Feb 2024
MLFEF: Machine Learning Fusion Model with Empirical Formula to Explore the Momentum in Competitive Sports Ruixin Peng Ziqing Li 16 2 0 19 Feb 2024
Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints Yunsheng Tian Ane Zuniga Xinwei Zhang Johannes P. Dürholt Payel Das Jie Chen Wojciech Matusik Mina Konakovic-Lukovic 41 2 0 12 Feb 2024
PASOA- PArticle baSed Bayesian Optimal Adaptive design Jacopo Iollo Christophe Heinkelé Pierre Alliez Florence Forbes 21 1 0 11 Feb 2024
Finding safe 3D robot grasps through efficient haptic exploration with unscented Bayesian optimization and collision penalty João Castanheira Pedro Vicente Ruben Martinez-Cantin L. Jamone Alexandre Bernardino 26 11 0 10 Feb 2024
Bayesian Optimization with Adaptive Kernels for Robot Control Ruben Martinez-Cantin 14 37 0 10 Feb 2024
Principled Preferential Bayesian Optimization Wenjie Xu Wenbin Wang Yuning Jiang B. Svetozarevic Colin N. Jones 27 6 0 08 Feb 2024
Strong convexity-guided hyper-parameter optimization for flatter losses Rahul Yedida Snehanshu Saha 24 0 0 07 Feb 2024
A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules? Agustinus Kristiadi Felix Strieth-Kalthoff Marta Skreta Pascal Poupart Alán Aspuru-Guzik Geoff Pleiss 38 21 0 07 Feb 2024