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
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 36 0 0 09 Oct 2024
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning Lequan Lin Dai Shi Andi Han Zhiyong Wang Junbin Gao 33 0 0 08 Oct 2024
Swift Sampler: Efficient Learning of Sampler by 10 Parameters Jiawei Yao Chuming Li Canran Xiao 18 6 0 08 Oct 2024
U-net based prediction of cerebrospinal fluid distribution and ventricular reflux grading Melanie Rieff Fabian Holzberger Oksana Lapina Geir Ringstad Lars Magnus Valnes Bogna Warsza Kent-Andre Mardal Per Kristian Eide Barbara Wohlmuth 41 0 0 06 Oct 2024
Quantized and Asynchronous Federated Learning Tomàs Ortega Hamid Jafarkhani FedML 31 1 0 30 Sep 2024
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel Jialin Li Marta Zagorowska Giulia De Pasquale Alisa Rupenyan John Lygeros 25 3 0 26 Sep 2024
Neural Network Architecture Search Enabled Wide-Deep Learning (NAS-WD) for Spatially Heterogenous Property Awared Chicken Woody Breast Classification and Hardness Regression Chaitanya Pallerla Yihong Feng Casey M. Owens Ramesh Bahadur Bist Siavash Mahmoudi Pouya Sohrabipour Amirreza Davar Dongyi Wang 30 2 0 25 Sep 2024
Predicting Deterioration in Mild Cognitive Impairment with Survival Transformers, Extreme Gradient Boosting and Cox Proportional Hazard Modelling H. Musto D. Stamate Doina Logofatu Daniel Stahl 34 1 0 24 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
Archon: An Architecture Search Framework for Inference-Time Techniques Jon Saad-Falcon Adrian Gamarra Lafuente Shlok Natarajan Nahum Maru Hristo Todorov ... E. Kelly Buchanan Mayee Chen Neel Guha Christopher Ré Azalia Mirhoseini AI4CE 33 18 0 23 Sep 2024
Tackling fluffy clouds: field boundaries detection using time series of S2 and/or S1 imagery F. Diakogiannis Zheng-Shu Zhou Jeff Wang Gonzalo Mata Dave Henry ... Jonathan Richetti Kathryn Batchelor Chris Herrmann Andrew Toovey John Taylor 29 0 0 20 Sep 2024
Bayesian-Optimized One-Step Diffusion Model with Knowledge Distillation for Real-Time 3D Human Motion Prediction Sibo Tian Minghui Zheng Xiao Liang DiffM 33 0 0 19 Sep 2024
A Robust Approach to Gaussian Processes Implementation Juliette Mukangango Amanda Muyskens Benjamin W. Priest 21 0 0 17 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
Learning Rate Optimization for Deep Neural Networks Using Lipschitz Bandits Padma Priyanka Sheetal Kalyani Avhishek Chatterjee 33 0 0 15 Sep 2024
Automated design of nonreciprocal thermal emitters via Bayesian optimization Bach Do S. J. Ghalekohneh Taiwo A. Adebiyi Bo Zhao Ruda Zhang 36 3 0 13 Sep 2024
Heterogeneous Sheaf Neural Networks Luke Braithwaite Iulia Duta Pietro Liò 30 1 0 12 Sep 2024
MENSA: A Multi-Event Network for Survival Analysis with Trajectory-based Likelihood Estimation Christian Marius Lillelund Ali Hossein Gharari Foomani Weijie Sun Shi-ang Qi Russell Greiner 22 0 0 10 Sep 2024
Sample-Efficient Bayesian Optimization with Transfer Learning for Heterogeneous Search Spaces Aryan Deshwal Sait Cakmak Yuhou Xia David Eriksson 42 0 0 09 Sep 2024
Advanced Machine Learning Framework for Efficient Plant Disease Prediction Aswath Muthuselvam S. Sowdeshwar M. Saravanan S. K. Perepu 35 0 0 08 Sep 2024
forester: A Tree-Based AutoML Tool in R Hubert Ruczyński Anna Kozak 38 1 0 07 Sep 2024
Unmasking Covert Intrusions: Detection of Fault-Masking Cyberattacks on Differential Protection Systems A. M. Saber Amr Youssef D. Svetinovic H. H. Zeineldin Ehab El-Saadany 35 3 0 06 Sep 2024
Regret Analysis for Randomized Gaussian Process Upper Confidence Bound Shion Takeno Yu Inatsu Masayuki Karasuyama 35 0 0 02 Sep 2024
FastBO: Fast HPO and NAS with Adaptive Fidelity Identification Jiantong Jiang Ajmal Mian 32 0 0 01 Sep 2024
On the effectiveness of smartphone IMU sensors and Deep Learning in the detection of cardiorespiratory conditions Lorenzo Simone Luca Miglior Vincenzo Gervasi Luca Moroni E. Vignali E. Gasparotti Simona Celi 29 0 0 27 Aug 2024
Automated Machine Learning in Insurance Panyi Dong Zhiyu Quan OffRL 42 0 0 26 Aug 2024
A proof of contribution in blockchain using game theoritical deep learning model Jin Wang 14 0 0 25 Aug 2024
Differentiating Policies for Non-Myopic Bayesian Optimization Darian Nwankwo David Bindel 18 0 0 14 Aug 2024
Towards Fair and Rigorous Evaluations: Hyperparameter Optimization for Top-N Recommendation Task with Implicit Feedback Hui Fang Xu Feng Lu Qin Zhu Sun 28 0 0 14 Aug 2024
Reciprocal Learning Julian Rodemann Christoph Jansen G. Schollmeyer FedML 42 0 0 12 Aug 2024
rule4ml: An Open-Source Tool for Resource Utilization and Latency Estimation for ML Models on FPGA M. M. Rahimifar Hamza Ezzaoui Rahali A. C. Therrien 23 0 0 09 Aug 2024
UCB Exploration for Fixed-Budget Bayesian Best Arm Identification Rong J.B. Zhu Yanqi Qiu 31 0 0 09 Aug 2024
High dimensional Bayesian Optimization via Condensing-Expansion Projection Jiaming Lu Rong J.B. Zhu 45 1 0 09 Aug 2024
Process-constrained batch Bayesian approaches for yield optimization in multi-reactor systems Markus Grimm Sébastien Paul Pierre Chainais 42 0 0 05 Aug 2024
Aggregation Models with Optimal Weights for Distributed Gaussian Processes Liam Hebert Sukhdeep S. Sodhi 27 0 0 01 Aug 2024
Analyzing the Effectiveness of Quantum Annealing with Meta-Learning Guokai Li Maurizio Ferrari Dacrema 16 0 0 01 Aug 2024
Gaussian Processes Sampling with Sparse Grids under Additive Schwarz Preconditioner Haoyuan Chen Rui Tuo 32 0 0 01 Aug 2024
Supervised Learning based Method for Condition Monitoring of Overhead Line Insulators using Leakage Current Measurement Milena Mitrović Dmitry Titov K. Volkhov Irina Lukicheva Andrey Kudryavzev Petr Vorobev Qi Li Vladimir Terzija 24 0 0 26 Jul 2024
Stay Tuned: An Empirical Study of the Impact of Hyperparameters on LLM Tuning in Real-World Applications Alon Halfon Shai Gretz Ofir Arviv Artem Spector Orith Toledo-Ronen Yoav Katz L. Ein-Dor Michal Shmueli-Scheuer Noam Slonim 39 2 0 25 Jul 2024
Learning Instance-Specific Parameters of Black-Box Models Using Differentiable Surrogates Arnisha Khondaker Nilanjan Ray 26 0 0 23 Jul 2024
A Resolution Independent Neural Operator B. Bahmani S. Goswami Ioannis G. Kevrekidis Michael D. Shields 44 7 0 17 Jul 2024
Estimate Epidemiological Parameters given Partial Observations based on Algebraically Observable PINNs Mizuka Komatsu 23 0 0 17 Jul 2024
Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Space Tigran Ramazyan M. Hushchyn D. Derkach 34 0 0 16 Jul 2024
cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process Yihang Chen Tsai Hor Chan Guosheng Yin Yuming Jiang Lequan Yu 35 0 0 16 Jul 2024
HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacks Raffaele Mura Giuseppe Floris Luca Scionis Giorgio Piras Maura Pintor Ambra Demontis Giorgio Giacinto Battista Biggio Fabio Roli AAML 58 0 0 11 Jul 2024
INSIGHT: Universal Neural Simulator for Analog Circuits Harnessing Autoregressive Transformers Souradip Poddar Youngmin Oh Yao Lai Hanqing Zhu Bosun Hwang David Z. Pan 27 2 0 10 Jul 2024
Automated Computational Energy Minimization of ML Algorithms using Constrained Bayesian Optimization Pallavi Mitra Felix Biessmann 23 0 0 08 Jul 2024
Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in Transonic Aerodynamic Loads Andrea Vaiuso Gabriele Immordino Marcello Righi A. Ronch AI4CE 48 0 0 08 Jul 2024
Research on the Acoustic Emission Source Localization Methodology in Composite Materials based on Artificial Intelligence Jongick Won Hyuntaik Oh Jae Sakong 20 0 0 07 Jul 2024
Reinforcement Learning for Sequence Design Leveraging Protein Language Models Jithendaraa Subramanian Shivakanth Sujit Niloy Irtisam Umong Sain Derek Nowrouzezahrai Samira Ebrahimi Kahou Riashat Islam 48 0 0 03 Jul 2024