Practical Bayesian Optimization of Machine Learning Algorithms

13 June 2012

Papers citing "Practical Bayesian Optimization of Machine Learning Algorithms"

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Title
Training Deep Neural Networks by optimizing over nonlocal paths in hyperparameter space Vlad Pushkarov Jonathan Efroni M. Maksymenko M. Koch-Janusz 11 1 0 09 Sep 2019
Lecture Notes: Optimization for Machine Learning Elad Hazan 13 10 0 08 Sep 2019
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks Yaqin Zhou Shangqing Liu J. Siow Xiaoning Du Yang Liu GNN 13 749 0 08 Sep 2019
A scalable constructive algorithm for the optimization of neural network architectures Massimiliano Lupo Pasini Junqi Yin Ying Wai Li M. Eisenbach 9 5 0 07 Sep 2019
Transferable Neural Processes for Hyperparameter Optimization Ying Wei P. Zhao Huaxiu Yao Junzhou Huang BDL 28 8 0 07 Sep 2019
Efficient Automatic Meta Optimization Search for Few-Shot Learning Xinyue Zheng Peng Wang Qigang Wang Zhongchao Shi Feiyu Xu 19 0 0 06 Sep 2019
Understanding ML driven HPC: Applications and Infrastructure Geoffrey C. Fox S. Jha 22 13 0 05 Sep 2019
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Hansika Hewamalage Christoph Bergmeir Kasun Bandara AI4TS 35 873 0 02 Sep 2019
Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research Prasanna Balaprakash Romain Egele Misha Salim Stefan M. Wild V. Vishwanath Fangfang Xia Thomas Brettin Rick L. Stevens 33 53 0 01 Sep 2019
Surrogate Optimization of Deep Neural Networks for Groundwater Predictions Juliane Müller Jangho Park R. Sahu C. Varadharajan B. Arora B. Faybishenko D. Agarwal AI4CE 33 72 0 28 Aug 2019
Multi-Objective Automatic Machine Learning with AutoxgboostMC Florian Pfisterer Stefan Coors Janek Thomas B. Bischl 33 16 0 28 Aug 2019
A Framework for Model Search Across Multiple Machine Learning Implementations Yoshiki Takahashi M. Asahara Kazuyuki Shudo 28 3 0 27 Aug 2019
MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning Zhijun Mai Guosheng Hu Dexiong Chen Fumin Shen Heng Tao Shen 22 41 0 27 Aug 2019
Fusing heterogeneous data sets Yipeng Song 14 0 0 23 Aug 2019
A tree-based radial basis function method for noisy parallel surrogate optimization Chenchao Shou Matthew West 22 2 0 21 Aug 2019
Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters Marius Lindauer Matthias Feurer Katharina Eggensperger André Biedenkapp Frank Hutter 28 18 0 19 Aug 2019
BOAH: A Tool Suite for Multi-Fidelity Bayesian Optimization & Analysis of Hyperparameters Marius Lindauer Katharina Eggensperger Matthias Feurer André Biedenkapp Joshua Marben Philip Muller Frank Hutter 13 40 0 16 Aug 2019
Multitask and Transfer Learning for Autotuning Exascale Applications Wissam M. Sid-Lakhdar M. Aznaveh Xin Li J. Demmel 34 11 0 15 Aug 2019
Optimizing Ensemble Weights and Hyperparameters of Machine Learning Models for Regression Problems Mohsen Shahhosseini Guiping Hu Hieu H. Pham 34 139 0 14 Aug 2019
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks Xiaohan Ding Yuchen Guo Guiguang Ding Jiawei Han 31 662 0 11 Aug 2019
BISTRO: Berkeley Integrated System for Transportation Optimization Sidney A. Feygin Jessica R. Lazarus E. Forscher Valentine Golfier-Vetterli Jonathan W. Lee Abhishek Gupta Rashid A. Waraich C. Sheppard Alexandre M. Bayen 27 8 0 10 Aug 2019
DeepAISE -- An End-to-End Development and Deployment of a Recurrent Neural Survival Model for Early Prediction of Sepsis S. Shashikumar C. Josef Ashish Sharma S. Nemati 8 10 0 10 Aug 2019
Automatic Calibration of Dynamic and Heterogeneous Parameters in Agent-based Model Dongjun Kim Tae-Sub Yun Il-Chul Moon 11 3 0 09 Aug 2019
ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Ksenia Korovina Sailun Xu Kirthevasan Kandasamy Willie Neiswanger Barnabás Póczós J. Schneider Eric Xing 42 122 0 05 Aug 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 50 1,423 0 02 Aug 2019
Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation Janis Postels Francesco Ferroni Huseyin Coskun Nassir Navab Federico Tombari UQCV UD PER BDL 27 139 0 01 Aug 2019
No-PASt-BO: Normalized Portfolio Allocation Strategy for Bayesian Optimization Thiago de P. Vasconcelos Daniel Augusto R. M. A. de Souza C. L. C. Mattos Joao P. P. Gomes 17 11 0 01 Aug 2019
Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning Xiang Zhang Xiaocong Chen Lina Yao Chang Ge Manqing Dong OOD 11 79 0 31 Jul 2019
Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures Dylan Cashman Adam Perer Remco Chang Hendrik Strobelt KELM 14 29 0 30 Jul 2019
pySOT and POAP: An event-driven asynchronous framework for surrogate optimization David Eriksson D. Bindel C. Shoemaker 27 56 0 30 Jul 2019
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method Pu Zhao Sijia Liu Pin-Yu Chen Nghia Hoang Kaidi Xu B. Kailkhura Xue Lin AAML 32 54 0 26 Jul 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 49 5,584 0 25 Jul 2019
BEHRT: Transformer for Electronic Health Records Yikuan Li Shishir Rao J. R. A. Solares A. Hassaine D. Canoy Yajie Zhu K. Rahimi G. Salimi-Khorshidi OOD 45 446 0 22 Jul 2019
High Dimensional Bayesian Optimization via Supervised Dimension Reduction Miao Zhang Huiqi Li Steven W. Su 27 44 0 21 Jul 2019
Techniques for Automated Machine Learning Yi-Wei Chen Qingquan Song Xia Hu 18 48 0 21 Jul 2019
Prediction of neural network performance by phenotypic modeling Alexander Hagg Martin Zaefferer Jörg Stork Adam Gaier 15 8 0 16 Jul 2019
Meta-Learning for Black-box Optimization T. Vishnu Pankaj Malhotra Jyoti Narwariya L. Vig Gautam M. Shroff 18 18 0 16 Jul 2019
Informative Path Planning with Local Penalization for Decentralized and Asynchronous Swarm Robotic Search P. Ghassemi Souma Chowdhury 11 7 0 09 Jul 2019
Neural Network Architecture Search with Differentiable Cartesian Genetic Programming for Regression Marcus Märtens Dario Izzo 18 9 0 03 Jul 2019
HyperNOMAD: Hyperparameter optimization of deep neural networks using mesh adaptive direct search Dounia Lakhmiri Sébastien Le Digabel C. Tribes 3DH 31 23 0 03 Jul 2019
Adaptive Pricing in Insurance: Generalized Linear Models and Gaussian Process Regression Approaches Yuqing Zhang N. Walton 21 3 0 02 Jul 2019
Augmenting and Tuning Knowledge Graph Embeddings Robert Bamler Farnood Salehi Stephan Mandt 21 7 0 01 Jul 2019
Two-stage Optimization for Machine Learning Workflow Alexandre Quemy TPM 32 26 0 01 Jul 2019
Learning Effective Loss Functions Efficiently Matthew J. Streeter 22 8 0 28 Jun 2019
MLFriend: Interactive Prediction Task Recommendation for Event-Driven Time-Series Data Lei Xu Shubhra (Santu) Karmaker K. Veeramachaneni AI4TS 16 4 0 28 Jun 2019
Mise en abyme with artificial intelligence: how to predict the accuracy of NN, applied to hyper-parameter tuning Giorgia Franchini Mathilde Galinier M. Verucchi 25 2 0 28 Jun 2019
Safe Contextual Bayesian Optimization for Sustainable Room Temperature PID Control Tuning Marcello Fiducioso Sebastian Curi B. Schumacher M. Gwerder Andreas Krause AI4CE 11 72 0 28 Jun 2019
Hyp-RL : Hyperparameter Optimization by Reinforcement Learning H. Jomaa Josif Grabocka Lars Schmidt-Thieme 25 65 0 27 Jun 2019
Modulating Surrogates for Bayesian Optimization Erik Bodin Markus Kaiser Ieva Kazlauskaite Zhenwen Dai Neill D. F. Campbell Carl Henrik Ek 20 2 0 26 Jun 2019
Reasoning about Hypothetical Agent Behaviours and their Parameters Stefano V. Albrecht Peter Stone 10 62 0 26 Jun 2019