Practical Bayesian Optimization of Machine Learning Algorithms

13 June 2012

Papers citing "Practical Bayesian Optimization of Machine Learning Algorithms"

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Title
Quantity vs. Quality: On Hyperparameter Optimization for Deep Reinforcement Learning L. Hertel Pierre Baldi D. Gillen BDL 31 12 0 29 Jul 2020
MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks Jun Shu Yanwen Zhu Qian Zhao Zongben Xu Deyu Meng 28 7 0 29 Jul 2020
Supervised Machine Learning Techniques: An Overview with Applications to Banking Linwei Hu Jie Chen J. Vaughan Hanyu Yang Kelly Wang Agus Sudjianto V. Nair 17 22 0 28 Jul 2020
Coupling Machine Learning and Crop Modeling Improves Crop Yield Prediction in the US Corn Belt Mohsen Shahhosseini Guiping Hu S. Archontoulis I. Huber AI4Cl 6 245 0 28 Jul 2020
Efficient OCT Image Segmentation Using Neural Architecture Search Saba Heidari Gheshlaghi O. Dehzangi Ali Dabouei Annahita Amireskandari A. Rezai Nasser M. Nasrabadi SSeg 32 12 0 28 Jul 2020
CPAS: the UK's National Machine Learning-based Hospital Capacity Planning System for COVID-19 Zhaozhi Qian Ahmed Alaa Mihaela van der Schaar 47 41 0 27 Jul 2020
Sequential design of multi-fidelity computer experiments: maximizing the rate of stepwise uncertainty reduction Rémi Stroh Julien Bect S. Demeyer N. Fischer Damien Marquis E. Vázquez 24 13 0 27 Jul 2020
Stabilizing Bi-Level Hyperparameter Optimization using Moreau-Yosida Regularization Sauptik Dhar Unmesh Kurup Mohak Shah 35 2 0 27 Jul 2020
Latent Unexpected Recommendations Pan Li Alexander Tuzhilin 18 11 0 27 Jul 2020
AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification Xiaofang Wang Xuehan Xiong Maxim Neumann A. Piergiovanni Michael S. Ryoo A. Angelova Kris Kitani Wei Hua 24 51 0 23 Jul 2020
Batch Policy Learning in Average Reward Markov Decision Processes Peng Liao Zhengling Qi Runzhe Wan P. Klasnja Susan Murphy OffRL 41 81 0 23 Jul 2020
A Gradient-based Bilevel Optimization Approach for Tuning Hyperparameters in Machine Learning Ankur Sinha Tanmay Khandait R. Mohanty 45 16 0 21 Jul 2020
Multi-level Training and Bayesian Optimization for Economical Hyperparameter Optimization Yang Yang Ke Deng Michael Zhu 6 1 0 20 Jul 2020
AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-sampling Wenshuo Ma Tingzhong Tian Hang Xu Yimin Huang Zhenguo Li 32 16 0 18 Jul 2020
Hyperparameter Selection for Offline Reinforcement Learning T. Paine Cosmin Paduraru Andrea Michi Çağlar Gülçehre Konrad Zolna Alexander Novikov Ziyun Wang Nando de Freitas GP OffRL 56 146 0 17 Jul 2020
Learning to Match Distributions for Domain Adaptation Chaohui Yu Jindong Wang Chang-Shu Liu Tao Qin Renjun Xu Wenjie Feng Yiqiang Chen Tie-Yan Liu OOD 10 6 0 17 Jul 2020
Fashion-IQ 2020 Challenge 2nd Place Team's Solution Minchul Shin Yoonjae Cho Seongwuk Hong 19 7 0 13 Jul 2020
Simple and Efficient Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes Satya Narayan Shukla Anit Kumar Sahu Devin Willmott J. Zico Kolter AAML 14 34 0 13 Jul 2020
An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter Optimization Yimin Huang Yujun Li Hanrong Ye Zhenguo Li Zhihua Zhang 37 7 0 11 Jul 2020
Inferring proximity from Bluetooth Low Energy RSSI with Unscented Kalman Smoothers Tom Lovett M. Briers Marcos Charalambides R. Jersakova James Lomax Chris Holmes 11 20 0 09 Jul 2020
Resource Aware Multifidelity Active Learning for Efficient Optimization Francesco Grassi Giorgio Manganini Michele Garraffa L. Mainini 24 6 0 09 Jul 2020
Meta-active Learning in Probabilistically-Safe Optimization Mariah L. Schrum M. Connolly Eric R. Cole Mihir Ghetiya R. Gross Matthew C. Gombolay 26 12 0 07 Jul 2020
Auto-CASH: Autonomous Classification Algorithm Selection with Deep Q-Network Tianyu Mu Hongzhi Wang Chunnan Wang Zheng Liang 17 1 0 07 Jul 2020
Hyperparameter Optimization in Neural Networks via Structured Sparse Recovery Minsu Cho Mohammadreza Soltani Chinmay Hegde 14 1 0 07 Jul 2020
Multi-Fidelity Bayesian Optimization via Deep Neural Networks Shibo Li Wei W. Xing Mike Kirby Shandian Zhe 18 53 0 06 Jul 2020
Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models Lasse F. Wolff Anthony Benjamin Kanding Raghavendra Selvan HAI 14 305 0 06 Jul 2020
Understanding the effect of hyperparameter optimization on machine learning models for structure design problems Xianping Du Hongyi Xu Feng Zhu AI4CE 9 46 0 04 Jul 2020
Gaussian Process Regression with Local Explanation Yuya Yoshikawa Tomoharu Iwata FAtt 16 18 0 03 Jul 2020
BOSH: Bayesian Optimization by Sampling Hierarchically Henry B. Moss David S. Leslie Paul Rayson 22 8 0 02 Jul 2020
Deep Learning Based Proactive Multi-Objective Eco-Routing Strategies for Connected and Automated Vehicles Lama Alfaseeh Bilal Farooq 36 1 0 30 Jun 2020
On the Iteration Complexity of Hypergradient Computation Riccardo Grazzi Luca Franceschi Massimiliano Pontil Saverio Salzo 53 193 0 29 Jun 2020
Gradient-only line searches to automatically determine learning rates for a variety of stochastic training algorithms D. Kafka D. Wilke ODL 27 0 0 29 Jun 2020
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees Shali Jiang Daniel R. Jiang Maximilian Balandat Brian Karrer Jacob R. Gardner Roman Garnett 21 44 0 29 Jun 2020
Fast and Low-cost Search for Efficient Cloud Configurations for HPC Workloads V. M. Rosário Thais A. Silva Camacho O. O. Napoli E. Borin 16 5 0 28 Jun 2020
Learning Data Augmentation with Online Bilevel Optimization for Image Classification Saypraseuth Mounsaveng I. Laradji Ismail Ben Ayed David Vazquez M. Pedersoli 19 36 0 25 Jun 2020
MTAdam: Automatic Balancing of Multiple Training Loss Terms Itzik Malkiel Lior Wolf ODL 27 22 0 25 Jun 2020
Bayesian Optimization with a Prior for the Optimum Artur L. F. Souza Luigi Nardi Leonardo B. Oliveira K. Olukotun Marius Lindauer Frank Hutter 21 8 0 25 Jun 2020
Automatic Tuning of Stochastic Gradient Descent with Bayesian Optimisation Victor Picheny Vincent Dutordoir A. Artemev N. Durrande 24 2 0 25 Jun 2020
AutoCP: Automated Pipelines for Accurate Prediction Intervals Yao Zhang W. Zame M. Schaar 19 0 0 24 Jun 2020
Simple and Scalable Parallelized Bayesian Optimization Masahiro Nomura 24 1 0 24 Jun 2020
Hyperparameter Ensembles for Robustness and Uncertainty Quantification F. Wenzel Jasper Snoek Dustin Tran Rodolphe Jenatton UQCV 35 205 0 24 Jun 2020
Efficient Hyperparameter Optimization in Deep Learning Using a Variable Length Genetic Algorithm Xueli Xiao Ming Yan S. Basodi Chunyan Ji Yi Pan 27 90 0 23 Jun 2020
MUMBO: MUlti-task Max-value Bayesian Optimization Henry B. Moss David S. Leslie Paul Rayson 25 33 0 22 Jun 2020
Hippo: Taming Hyper-parameter Optimization of Deep Learning with Stage Trees Ahnjae Shin Do Yoon Kim Joo Seong Jeong Byung-Gon Chun 28 4 0 22 Jun 2020
A deep convolutional neural network model for rapid prediction of fluvial flood inundation Syed Kabir S. Patidar X. Xia Q. Liang J. Neal G. Pender . AI4CE 16 1 0 20 Jun 2020
Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization Geoff Pleiss M. Jankowiak David Eriksson Anil Damle Jacob R. Gardner 24 43 0 19 Jun 2020
Bayesian Optimization with Missing Inputs P. Luong Dang Nguyen Sunil R. Gupta Santu Rana Svetha Venkatesh 29 3 0 19 Jun 2020
Efficient Hyperparameter Optimization under Multi-Source Covariate Shift Masahiro Nomura Yuta Saito 14 9 0 18 Jun 2020
Matérn Gaussian processes on Riemannian manifolds Viacheslav Borovitskiy Alexander Terenin P. Mostowsky M. Deisenroth 27 120 0 17 Jun 2020
Intelligent Protection & Classification of Transients in Two-Core Symmetric Phase Angle Regulating Transformers Pallav Kumar Bera Can Isik 16 7 0 17 Jun 2020