BOHB: Robust and Efficient Hyperparameter Optimization at Scale

4 July 2018

Papers citing "BOHB: Robust and Efficient Hyperparameter Optimization at Scale"

50 / 206 papers shown

Title
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 34 26 0 16 Dec 2021
BoGraph: Structured Bayesian Optimization From Logs for Expensive Systems with Many Parameters Sami Alabed Eiko Yoneki 17 7 0 16 Dec 2021
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning Yi Zhou Parikshit Ram Theodoros Salonidis Nathalie Baracaldo Horst Samulowitz Heiko Ludwig AI4CE 37 25 0 15 Dec 2021
Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning Nicolai Dorka Tim Welschehold Joschka Boedecker Wolfram Burgard OffRL 30 9 0 24 Nov 2021
A survey on multi-objective hyperparameter optimization algorithms for Machine Learning A. Hernández I. Nieuwenhuyse Sebastian Rojas Gonzalez 23 95 0 23 Nov 2021
Optimizing Bayesian acquisition functions in Gaussian Processes Ashish Anil Pawar Ujwal Warbhe GP 16 4 0 09 Nov 2021
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso Kenan Sehic Alexandre Gramfort Joseph Salmon Luigi Nardi 24 35 0 04 Nov 2021
Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation Misgana Negassi Diane Wagner A. Reiterer 19 13 0 31 Oct 2021
Using Non-Linear Causal Models to Study Aerosol-Cloud Interactions in the Southeast Pacific Andrew Jesson P. Manshausen A. Douglas D. Watson‐Parris Y. Gal P. Stier AI4Cl 27 6 0 28 Oct 2021
Scalable One-Pass Optimisation of High-Dimensional Weight-Update Hyperparameters by Implicit Differentiation Ross M. Clarke E. T. Oldewage José Miguel Hernández-Lobato 36 9 0 20 Oct 2021
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies Yu Shen Yang Li Jian Zheng Wentao Zhang Peng Yao Jixiang Li Sen Yang Ji Liu Cui Bin AI4CE 42 30 0 20 Oct 2021
NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters Yoichi Hirose Nozomu Yoshinari Shinichi Shirakawa 25 13 0 19 Oct 2021
Improving Hyperparameter Optimization by Planning Ahead H. Jomaa Jonas K. Falkner Lars Schmidt-Thieme 22 0 0 15 Oct 2021
Tutorial on Deep Learning for Human Activity Recognition Marius Bock Alexander Hoelzemann Michael Moeller Kristof Van Laerhoven BDL HAI 11 2 0 13 Oct 2021
Identification of Metallic Objects using Spectral Magnetic Polarizability Tensor Signatures: Object Classification Ben A. Wilson P. Ledger W. Lionheart 14 18 0 13 Oct 2021
NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks Renbo Tu Nicholas Roberts M. Khodak Jun Shen Frederic Sala Ameet Talwalkar 28 33 0 12 Oct 2021
Delve into the Performance Degradation of Differentiable Architecture Search Jiuling Zhang Zhiming Ding 35 1 0 28 Sep 2021
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO Katharina Eggensperger Philip Muller Neeratyoy Mallik Matthias Feurer René Sass Aaron Klein Noor H. Awad Marius Lindauer Frank Hutter 51 100 0 14 Sep 2021
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture Kaichen Zhou Lanqing Hong Shuailiang Hu Fengwei Zhou Binxin Ru Jiashi Feng Zhenguo Li 62 10 0 13 Sep 2021
Optimal Order Simple Regret for Gaussian Process Bandits Sattar Vakili N. Bouziani Sepehr Jalali A. Bernacchia Da-Shan Shiu 36 51 0 20 Aug 2021
Is Differentiable Architecture Search truly a One-Shot Method? Jonas Geiping Jovita Lukasik M. Keuper Michael Moeller 25 0 0 12 Aug 2021
Learning to Rank Ace Neural Architectures via Normalized Discounted Cumulative Gain Yuge Zhang Quan Zhang Li Zhang Yaming Yang Chenqian Yan Xiaotian Gao Yuqing Yang 38 0 0 06 Aug 2021
HyperJump: Accelerating HyperBand via Risk Modelling Pedro Mendes Maria Casimiro Paolo Romano David Garlan 22 8 0 05 Aug 2021
Deep multi-task mining Calabi-Yau four-folds Harold Erbin Riccardo Finotello Robin Schneider M. Tamaazousti 35 17 0 04 Aug 2021
Homogeneous Architecture Augmentation for Neural Predictor Yuqiao Liu Yehui Tang Yizhou Sun 34 22 0 28 Jul 2021
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition Yang Li Yu Shen Wentao Zhang Jiawei Jiang Bolin Ding ... Jingren Zhou Zhi-Xin Yang Wentao Wu Ce Zhang Bin Cui LRM 29 44 0 19 Jul 2021
Neural Architecture Search using Covariance Matrix Adaptation Evolution Strategy Nilotpal Sinha Kuan-Wen Chen 18 5 0 15 Jul 2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges B. Bischl Martin Binder Michel Lang Tobias Pielok Jakob Richter ... Theresa Ullmann Marc Becker A. Boulesteix Difan Deng Marius Lindauer 85 455 0 13 Jul 2021
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets Hayeon Lee Eunyoung Hyung Sung Ju Hwang 40 43 0 02 Jul 2021
AutoLoss: Automated Loss Function Search in Recommendations Xiangyu Zhao Haochen Liu Wenqi Fan Hui Liu Jiliang Tang Chong Wang 30 60 0 12 Jun 2021
A Nonmyopic Approach to Cost-Constrained Bayesian Optimization E. Lee David Eriksson Valerio Perrone Matthias Seeger 41 22 0 10 Jun 2021
A multi-objective perspective on jointly tuning hardware and hyperparameters David Salinas Valerio Perrone Olivier Cruchant Cédric Archambeau 32 13 0 10 Jun 2021
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly Yuchen Jin Dinesh Manocha Liangyu Zhao Yibo Zhu Chuanxiong Guo Marco Canini Arvind Krishnamurthy 37 18 0 22 May 2021
Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization Julia Guerrero-Viu Sven Hauns Sergio Izquierdo Guilherme Miotto Simon Schrodi André Biedenkapp T. Elsken Difan Deng Marius Lindauer Frank Hutter AI4CE 17 25 0 03 May 2021
How Powerful are Performance Predictors in Neural Architecture Search? Colin White Arber Zela Binxin Ru Yang Liu Frank Hutter 22 126 0 02 Apr 2021
On Evolving Attention Towards Domain Adaptation Kekai Sheng Ke Li Xiawu Zheng Jian Liang Weiming Dong Feiyue Huang Rongrong Ji Xing Sun 41 7 0 25 Mar 2021
There is More than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking with Sound by Distilling Multimodal Knowledge Francisco Rivera Valverde Juana Valeria Hurtado Abhinav Valada 28 72 0 01 Mar 2021
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning Bangnig Zhang Raghunandan Rajan Luis Pineda Nathan Lambert André Biedenkapp Kurtland Chua Frank Hutter Roberto Calandra 29 100 0 26 Feb 2021
Automated Discovery of Adaptive Attacks on Adversarial Defenses Chengyuan Yao Pavol Bielik Petar Tsankov Martin Vechev AAML 19 24 0 23 Feb 2021
CATE: Computation-aware Neural Architecture Encoding with Transformers Shen Yan Kaiqiang Song Z. Feng Mi Zhang 22 24 0 14 Feb 2021
Adversarial Branch Architecture Search for Unsupervised Domain Adaptation Luc Robbiano Muhammad Rameez Ur Rahman Fabio Galasso Barbara Caputo Fabio Maria Carlucci 16 16 0 12 Feb 2021
Hyperboost: Hyperparameter Optimization by Gradient Boosting surrogate models Jeroen van Hoof Joaquin Vanschoren BDL 38 9 0 06 Jan 2021
Detecting COVID-19 from Breathing and Coughing Sounds using Deep Neural Networks Björn W. Schuller H. Coppock Alexander Gaskell 41 63 0 29 Dec 2020
Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization Valerio Perrone Huibin Shen Aida Zolic I. Shcherbatyi Amr Ahmed ... Barbara Pogorzelska Miroslav Miladinovic K. Kenthapadi Matthias Seeger Cédric Archambeau 45 16 0 15 Dec 2020
Amazon SageMaker Autopilot: a white box AutoML solution at scale Piali Das Laurence Rouesnel Nikita Ivkin Tanya Bansal Zohar Karnin ... Giovanni Zappella Cedric Archembeau Matthias Seeger Bhaskar Dutt K. Venkateswar 25 69 0 15 Dec 2020
Efficient Automatic CASH via Rising Bandits Yang Li Jiawei Jiang Jinyang Gao Yingxia Shao Ce Zhang Bin Cui 30 34 0 08 Dec 2020
HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation Alexander I. Cowen-Rivers Wenlong Lyu Rasul Tutunov Zhi Wang Antoine Grosnit ... A. Maraval Hao Jianye Jun Wang Jan Peters H. Ammar 27 74 0 07 Dec 2020
TrimTuner: Efficient Optimization of Machine Learning Jobs in the Cloud via Sub-Sampling Pedro Mendes Maria Casimiro Paolo Romano David Garlan 22 18 0 09 Nov 2020
COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning Simon Ging Mohammadreza Zolfaghari Hamed Pirsiavash Thomas Brox ViT CLIP 31 169 0 01 Nov 2020
Resource-Aware Pareto-Optimal Automated Machine Learning Platform Yao Yang Andrew Nam M. Nasr-Azadani Teresa Tung 16 6 0 30 Oct 2020