Practical Bayesian Optimization of Machine Learning Algorithms

13 June 2012

Papers citing "Practical Bayesian Optimization of Machine Learning Algorithms"

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Title
Forecasting Corn Yield with Machine Learning Ensembles Mohsen Shahhosseini Guiping Hu S. Archontoulis 39 168 0 18 Jan 2020
Scalable Hyperparameter Optimization with Lazy Gaussian Processes Raju Ram Sabine Müller Franz-Josef Pfreundt N. Gauger J. Keuper GP 18 5 0 16 Jan 2020
Resolving learning rates adaptively by locating Stochastic Non-Negative Associated Gradient Projection Points using line searches D. Kafka D. Wilke 31 8 0 15 Jan 2020
Adaptive Expansion Bayesian Optimization for Unbounded Global Optimization Wei Chen M. Fuge 14 3 0 12 Jan 2020
Unbiased and Efficient Log-Likelihood Estimation with Inverse Binomial Sampling B. V. Opheusden Luigi Acerbi W. Ma 30 37 0 12 Jan 2020
Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning Yao Zhang Daniel Jarrett M. Schaar 11 9 0 12 Jan 2020
Preparation of ordered states in ultra-cold gases using Bayesian optimization R. Mukherjee F. Sauvage Harry Xie R. Loew Florian Mintert 18 19 0 10 Jan 2020
Expected Improvement versus Predicted Value in Surrogate-Based Optimization Frederik Rehbach Martin Zaefferer B. Naujoks T. Bartz-Beielstein 31 24 0 09 Jan 2020
Bayesian task embedding for few-shot Bayesian optimization Steven Atkinson Sayan Ghosh Natarajan Chennimalai-Kumar Genghis Khan Liping Wang BDL 24 1 0 02 Jan 2020
Model Inversion Networks for Model-Based Optimization Aviral Kumar Sergey Levine OffRL 40 94 0 31 Dec 2019
Robust Federated Learning Through Representation Matching and Adaptive Hyper-parameters Hesham Mostafa FedML 31 39 0 30 Dec 2019
A Drug Recommendation System (Dr.S) for cancer cell lines M. Balvert Georgios Patoulidis Andrew Patti T. Deist C. Eyler B. Dutilh A. Schönhuth D. Craft AI4TS 17 5 0 24 Dec 2019
A Survey of Deep Learning Applications to Autonomous Vehicle Control Sampo Kuutti Richard Bowden Yaochu Jin P. Barber Saber Fallah 36 507 0 23 Dec 2019
A Survey on Distributed Machine Learning Joost Verbraeken Matthijs Wolting Jonathan Katzy Jeroen Kloppenburg Tim Verbelen Jan S. Rellermeyer OOD 44 697 0 20 Dec 2019
Pseudo-Encoded Stochastic Variational Inference Amir Zadeh Smon Hessner Y. Lim Louis-Philippe Morency BDL 21 0 0 19 Dec 2019
Quantifying the effect of representations on task complexity J. Zilly Lorenz Hetzel A. Censi Emilio Frazzoli 6 0 0 19 Dec 2019
CNN-LSTM models for Multi-Speaker Source Separation using Bayesian Hyper Parameter Optimization Jeroen Zegers Hugo Van hamme BDL 28 7 0 19 Dec 2019
Feature-wise change detection and robust indoor positioning using RANSAC-like approach Caifa Zhou 20 0 0 18 Dec 2019
Benchmarking the Neural Linear Model for Regression Sebastian W. Ober C. Rasmussen BDL 19 41 0 18 Dec 2019
Accelerating PDE-constrained Inverse Solutions with Deep Learning and Reduced Order Models Sheroze Sheriffdeen J. Ragusa J. Morel M. Adams T. Bui-Thanh AI4CE 36 15 0 17 Dec 2019
Automating Vitiligo Skin Lesion Segmentation Using Convolutional Neural Networks Makena Low Priyanka Raina 27 22 0 16 Dec 2019
Progressive Learning Algorithm for Efficient Person Re-Identification Zhuguo Li Han Shao Nian Xue Liang Niu Liangliang Cao 16 9 0 16 Dec 2019
Learning Arbitrary Quantities of Interest from Expensive Black-Box Functions through Bayesian Sequential Optimal Design Piyush Pandita Nimish Awalgaonkar Ilias Bilionis Jitesh H. Panchal 23 1 0 16 Dec 2019
A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings Niels van der Heijden Samira Abnar Ekaterina Shutova 44 16 0 15 Dec 2019
Active emulation of computer codes with Gaussian processes -- Application to remote sensing D. Svendsen Luca Martino Gustau Camps-Valls 14 54 0 13 Dec 2019
Meta-Learning Initializations for Image Segmentation S. Hendryx Andrew B. Leach P. Hein Clayton T. Morrison VLM 15 25 0 13 Dec 2019
Bayesian Hyperparameter Optimization with BoTorch, GPyTorch and Ax Daniel T. Chang BDL AI4CE 11 11 0 11 Dec 2019
BERT for Large-scale Video Segment Classification with Test-time Augmentation Tianqi Liu Qizhan Shao 37 4 0 02 Dec 2019
ExperienceThinking: Constrained Hyperparameter Optimization based on Knowledge and Pruning Chunnan Wang Hongzhi Wang Chang Zhou Hanxiao Chen 14 8 0 02 Dec 2019
Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation George De Ath Richard Everson Alma A. M. Rahat J. Fieldsend 36 94 0 28 Nov 2019
DeepRICH: Learning Deeply Cherenkov Detectors C. Fanelli Jary Pomponi 21 23 0 26 Nov 2019
Identifying Model Weakness with Adversarial Examiner Michelle Shu Chenxi Liu Weichao Qiu Alan Yuille AAML ELM 27 19 0 25 Nov 2019
Machine-learned metrics for predicting the likelihood of success in materials discovery Yoolhee Kim Edward J. Kim Erin Antono B. Meredig Julia Ling 17 26 0 25 Nov 2019
ART: A machine learning Automated Recommendation Tool for synthetic biology Tijana Radivojević Zak Costello Kenneth Workman Hector Garcia Martin 11 9 0 25 Nov 2019
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
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS Han Shi Renjie Pi Hang Xu Zhenguo Li James T. Kwok Tong Zhang 39 31 0 21 Nov 2019
Bayesian optimization with local search Yuzhou Gao Tengchao Yu Jinglai Li 14 6 0 20 Nov 2019
Black-box Combinatorial Optimization using Models with Integer-valued Minima Laurens Bliek S. Verwer Mathijs de Weerdt 21 19 0 20 Nov 2019
A Simple Heuristic for Bayesian Optimization with A Low Budget Masahiro Nomura Kenshi Abe 34 1 0 18 Nov 2019
Benchmarking time series classification -- Functional data vs machine learning approaches Florian Pfisterer Laura Beggel Xudong Sun Fabian Scheipl B. Bischl CML 27 15 0 18 Nov 2019
Justification-Based Reliability in Machine Learning Nurali Virani N. Iyer Zhaoyuan Yang 6 19 0 18 Nov 2019
Multi-Attribute Bayesian Optimization With Interactive Preference Learning Raul Astudillo P. Frazier 22 33 0 14 Nov 2019
AI-optimized detector design for the future Electron-Ion Collider: the dual-radiator RICH case E. Cisbani A. Dotto C. Fanelli Michael Williams M. Alfred ... R. Towell Junqi Xie Zhiwen Zhao B. Zihlmann C. Zorn 22 29 0 13 Nov 2019
FLAML: A Fast and Lightweight AutoML Library Chi Wang Qingyun Wu Markus Weimer Erkang Zhu 30 199 0 12 Nov 2019
Optimizing Millions of Hyperparameters by Implicit Differentiation Jonathan Lorraine Paul Vicol David Duvenaud DD 45 403 0 06 Nov 2019
Auptimizer -- an Extensible, Open-Source Framework for Hyperparameter Tuning Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 27 18 0 06 Nov 2019
A Programmable Approach to Neural Network Compression Vinu Joseph Saurav Muralidharan Animesh Garg M. Garland Ganesh Gopalakrishnan 33 10 0 06 Nov 2019
Searching to Exploit Memorization Effect in Learning from Corrupted Labels Quanming Yao Hansi Yang Bo Han Gang Niu James T. Kwok NoLa 27 16 0 06 Nov 2019
Designing over uncertain outcomes with stochastic sampling Bayesian optimization Peter D. Tonner D. Samarov A. Kusne 9 0 0 05 Nov 2019
Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout Xubo Yue Raed Al Kontar 34 38 0 04 Nov 2019