Practical Bayesian Optimization of Machine Learning Algorithms

13 June 2012

Papers citing "Practical Bayesian Optimization of Machine Learning Algorithms"

47 / 47 papers shown

Title
BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL Yu-Heng Hung Kai-Jie Lin Yu-Heng Lin Chien-Yi Wang Cheng Sun Ping-Chun Hsieh 18 0 0 28 May 2025
OptiMindTune: A Multi-Agent Framework for Intelligent Hyperparameter Optimization Meher Bhaskar Madiraju Meher Sai Preetam Madiraju 47 0 0 25 May 2025
Bayesian Optimization for Enhanced Language Models: Optimizing Acquisition Functions Zishuo Bao Yibo Liu Changyutao Qiu 73 0 0 22 May 2025
Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints Peter Röseler Oliver Schaudt Helmut Berg Christian Bauckhage Matthias Koch 82 0 0 09 May 2025
Decentralized Collective World Model for Emergent Communication and Coordination Kentaro Nomura Tatsuya Aoki Tadahiro Taniguchi Takato Horii 86 1 0 04 Apr 2025
Tuning-Free Structured Sparse PCA via Deep Unfolding Networks Long Chen Xianchao Xiu 346 0 0 28 Feb 2025
TSKANMixer: Kolmogorov-Arnold Networks with MLP-Mixer Model for Time Series Forecasting Young-Chae Hong Bei Xiao Yangho Chen AI4TS 88 1 0 25 Feb 2025
NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance Raphael T. Husistein Markus Reiher Marco Eckhoff 185 1 0 20 Feb 2025
Bayesian Optimization by Kernel Regression and Density-based Exploration Tansheng Zhu Hongyu Zhou Ke Jin Xusheng Xu Qiufan Yuan Lijie Ji 321 0 0 10 Feb 2025
Adaptive Learning-based Model Predictive Control Strategy for Drift Vehicles Bei Zhou Cheng Hu Jun Zeng Zhouheng Li Johannes Betz Lei Xie Hongye Su 93 2 0 07 Feb 2025
B-FPGM: Lightweight Face Detection via Bayesian-Optimized Soft FPGM Pruning Nikolaos Kaparinos Vasileios Mezaris CVBM 85 0 0 28 Jan 2025
Co-Learning Bayesian Optimization Zhendong Guo Yew-Soon Ong Tiantian He Haitao Liu 117 2 0 23 Jan 2025
Deep Learning-Based Identification of Inconsistent Method Names: How Far Are We? Taiming Wang Yuxia Zhang Lin Jiang Yi Tang Guangjie Li Hui Liu 132 1 0 22 Jan 2025
Information-theoretic Bayesian Optimization: Survey and Tutorial Eduardo C. Garrido-Merchán 105 1 0 22 Jan 2025
Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Amirmohammad Farzaneh Osvaldo Simeone 220 0 0 22 Jan 2025
Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index Qian Xie Raul Astudillo P. Frazier Ziv Scully Alexander Terenin 129 2 0 17 Jan 2025
Persistent Homology for Structural Characterization in Disordered Systems An Wang Li Zou 88 1 0 21 Nov 2024
Residual Deep Gaussian Processes on Manifolds Kacper Wyrwal Andreas Krause Viacheslav Borovitskiy BDL 70 0 0 31 Oct 2024
Optimizing Posterior Samples for Bayesian Optimization via Rootfinding Taiwo A. Adebiyi Bach Do Ruda Zhang 149 2 0 29 Oct 2024
Sequential Large Language Model-Based Hyper-parameter Optimization Kanan Mahammadli Seyda Ertekin 101 5 0 27 Oct 2024
AgentForge: A Flexible Low-Code Platform for Reinforcement Learning Agent Design Francisco Erivaldo Fernandes Junior Antti Oulasvirta 340 0 0 25 Oct 2024
Cliqueformer: Model-Based Optimization with Structured Transformers J. Kuba Pieter Abbeel Sergey Levine OffRL AI4CE 86 2 0 17 Oct 2024
Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning Anastasiya Danilenka Alireza Furutanpey Víctor Casamayor Pujol Boris Sedlak Anna Lackinger M. Ganzha M. Paprzycki Schahram Dustdar 68 1 0 09 Oct 2024
Adaptive RKHS Fourier Features for Compositional Gaussian Process Models Xinxing Shi Thomas Baldwin-McDonald Mauricio A. Álvarez 91 0 0 01 Jul 2024
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization Jacob O. Tørring Carl Hvarfner Luigi Nardi Magnus Sjalander 78 1 0 24 Jun 2024
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes J. Lin Shreyas Padhy Bruno Mlodozeniec Javier Antorán José Miguel Hernández-Lobato 55 2 0 28 May 2024
VIEW: Visual Imitation Learning with Waypoints Ananth Jonnavittula Sagar Parekh Dylan P. Losey SSL 98 10 0 27 Apr 2024
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization Dawei Zhan 64 5 0 18 Apr 2024
Global Safe Sequential Learning via Efficient Knowledge Transfer Cen-You Li Olaf Duennbier Marc Toussaint Barbara Rakitsch Christoph Zimmer 68 2 0 22 Feb 2024
Explainable Bayesian Optimization Tanmay Chakraborty Christin Seifert Christian Wirth 102 5 0 24 Jan 2024
Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection MohammadNoor Injadat Abdallah Moubayed Ali Bou Nassif Abdallah Shami 30 163 0 09 Aug 2020
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning Sijia Liu Pin-Yu Chen B. Kailkhura Gaoyuan Zhang A. Hero III P. Varshney 55 227 0 11 Jun 2020
Model-Size Reduction for Reservoir Computing by Concatenating Internal States Through Time Yusuke Sakemi K. Morino T. Leleu Kazuyuki Aihara 41 20 0 11 Jun 2020
Adaptation Strategies for Automated Machine Learning on Evolving Data B. Celik Joaquin Vanschoren 34 54 0 09 Jun 2020
Building a COVID-19 Vulnerability Index David DeCaprio J. Gartner Thadeus Burgess Kristian Garcia Sarthak Kothari S. Sayed C. McCall 41 144 0 16 Mar 2020
QTIP: Quick simulation-based adaptation of Traffic model per Incident Parameters Inon Peled R. Kamalakar Carlos Lima Azevedo Francisco Câmara Pereira 28 4 0 09 Mar 2020
Corruption-Tolerant Gaussian Process Bandit Optimization Ilija Bogunovic Andreas Krause Jonathan Scarlett 53 51 0 04 Mar 2020
An effective algorithm for hyperparameter optimization of neural networks G. I. Diaz Achille Fokoue G. Nannicini Horst Samulowitz 34 156 0 23 May 2017
A novel algorithmic approach to Bayesian Logic Regression A. Hubin G. Storvik F. Frommlet 48 16 0 22 May 2017
Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct Search Luigi Acerbi Wei Ji 36 218 0 11 May 2017
Gaussian process modeling in approximate Bayesian computation to estimate horizontal gene transfer in bacteria Marko Jarvenpaa Michael U. Gutmann Aki Vehtari Pekka Marttinen 105 41 0 20 Oct 2016
Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction Weinan Zhang Tianming Du Jun Wang AI4CE 31 492 0 11 Jan 2016
The Role of Context Types and Dimensionality in Learning Word Embeddings Oren Melamud David McClosky Siddharth Patwardhan Joey Tianyi Zhou 65 123 0 05 Jan 2016
Multi-column Deep Neural Networks for Image Classification D. Ciresan U. Meier Jürgen Schmidhuber 80 3,935 0 13 Feb 2012
Convergence rates of efficient global optimization algorithms Adam D. Bull 77 641 0 18 Jan 2011
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning E. Brochu Vlad M. Cora Nando de Freitas GP 102 2,437 0 12 Dec 2010
Slice sampling covariance hyperparameters of latent Gaussian models Iain Murray Ryan P. Adams 89 232 0 04 Jun 2010