Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization

21 March 2016

Papers citing "Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization"

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Title
SHiFT: An Efficient, Flexible Search Engine for Transfer Learning Cédric Renggli Xiaozhe Yao Luka Kolar Luka Rimanic Ana Klimovic Ce Zhang OOD 38 4 0 04 Apr 2022
Learning the Effect of Registration Hyperparameters with HyperMorph Andrew Hoopes Malte Hoffmann Douglas N. Greve Bruce Fischl John Guttag Adrian Dalca 28 38 0 30 Mar 2022
Generalizing Few-Shot NAS with Gradient Matching Shou-Yong Hu Ruochen Wang Lanqing Hong Zhenguo Li Cho-Jui Hsieh Jiashi Feng 25 23 0 29 Mar 2022
Bioplastic Design using Multitask Deep Neural Networks Christopher Kuenneth Jessica Lalonde B. Marrone C. Iverson R. Ramprasad G. Pilania AI4CE 19 31 0 22 Mar 2022
Approximate Function Evaluation via Multi-Armed Bandits Tavor Z. Baharav Gary Cheng Mert Pilanci David Tse 11 6 0 18 Mar 2022
Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer Greg Yang J. E. Hu Igor Babuschkin Szymon Sidor Xiaodong Liu David Farhi Nick Ryder J. Pachocki Weizhu Chen Jianfeng Gao 26 148 0 07 Mar 2022
Adaptive Gradient Methods with Local Guarantees Zhou Lu Wenhan Xia Sanjeev Arora Elad Hazan ODL 27 9 0 02 Mar 2022
DC and SA: Robust and Efficient Hyperparameter Optimization of Multi-subnetwork Deep Learning Models A. Treacher A. Montillo 21 0 0 24 Feb 2022
A Unified Prediction Framework for Signal Maps Emmanouil Alimpertis A. Markopoulou C. Butts Evita Bakopoulou Konstantinos Psounis 20 3 0 08 Feb 2022
B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search Hyunghun Cho Jungwook Shin Wonjong Rhee 33 7 0 07 Feb 2022
Similarity Learning based Few Shot Learning for ECG Time Series Classification Priyanka Gupta Sathvik Bhaskarpandit Manik Gupta 22 14 0 31 Jan 2022
Self Semi Supervised Neural Architecture Search for Semantic Segmentation Loïc Pauletto Massih-Reza Amini Nicolas Winckler SSL SSeg 35 1 0 29 Jan 2022
Learning Curves for Decision Making in Supervised Machine Learning: A Survey F. Mohr Jan N. van Rijn 41 53 0 28 Jan 2022
Simplifying deflation for non-convex optimization with applications in Bayesian inference and topology optimization Mohamed Tarek Yijiang Huang 24 2 0 28 Jan 2022
Hyperparameter Tuning for Deep Reinforcement Learning Applications M. Kiran Melis Ozyildirim 40 22 0 26 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 33 100 0 11 Jan 2022
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies Paul Vicol Luke Metz Jascha Narain Sohl-Dickstein 27 67 0 27 Dec 2021
Automatic Meta-Path Discovery for Effective Graph-Based Recommendation Wentao Ning Reynold Cheng Jiajun Shen Nur Al Hasan Haldar B. Kao Xiao Yan Nan Huo Wai Lam Tian Li Bo Tang 32 18 0 23 Dec 2021
Machine Learning Emulation of Urban Land Surface Processes David Meyer S. Grimmond P. Dueben R. Hogan M. Reeuwijk 22 17 0 21 Dec 2021
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 25 26 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
N-SfC: Robust and Fast Shape Estimation from Caustic Images Marc Kassubeck Moritz Kappel Susana Castillo M. Magnor 19 1 0 13 Dec 2021
Location Leakage in Federated Signal Maps Evita Bakopoulou Justin Ley Jiang Zhang Konstantinos Psounis A. Markopoulou FedML 20 5 0 07 Dec 2021
Naive Automated Machine Learning F. Mohr Marcel Wever 21 11 0 29 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
Towards Lightweight Controllable Audio Synthesis with Conditional Implicit Neural Representations Jan Zuiderveld Marco Federici Erik J. Bekkers AI4CE 29 6 0 14 Nov 2021
Advances in Neural Rendering A. Tewari Justus Thies B. Mildenhall P. Srinivasan E. Tretschk ... S. Fanello Jun Zhu Gordon Wetzstein Michael Zollhoefer D. B. Goldman 3DH AI4CE 68 445 0 10 Nov 2021
Misspecified Gaussian Process Bandit Optimization Ilija Bogunovic Andreas Krause 55 42 0 09 Nov 2021
Safe Data Collection for Offline and Online Policy Learning Ruihao Zhu B. Kveton OffRL 11 5 0 08 Nov 2021
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso Kenan Sehic Alexandre Gramfort Joseph Salmon Luigi Nardi 22 35 0 04 Nov 2021
ConformalLayers: A non-linear sequential neural network with associative layers Zhen Wan Zhuoyuan Mao C. N. Vasconcelos 22 3 0 23 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 28 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
Predicting Chemical Hazard across Taxa through Machine Learning Jimeng Wu Simone DÁmbrosi Lorenz Ammann Julita Stadnicka-Michalak K. Schirmer Marco Baity-Jesi 18 28 0 07 Oct 2021
FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective Huan Zhang Mi Zhang Xin Liu P. Mohapatra Michael DeLucia FedML 31 18 0 06 Oct 2021
HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization Vincent Dumont Casey Garner Anuradha Trivedi Chelsea Jones V. Ganapati Juliane Mueller T. Perciano Mariam Kiran Marcus Day 16 5 0 04 Oct 2021
Primer: Searching for Efficient Transformers for Language Modeling David R. So Wojciech Mañke Hanxiao Liu Zihang Dai Noam M. Shazeer Quoc V. Le VLM 91 152 0 17 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 46 100 0 14 Sep 2021
Automatic Componentwise Boosting: An Interpretable AutoML System Stefan Coors Daniel Schalk B. Bischl David Rügamer TPM 38 3 0 12 Sep 2021
Extreme Bandits using Robust Statistics Sujay Bhatt Ping Li G. Samorodnitsky 30 7 0 09 Sep 2021
SummerTime: Text Summarization Toolkit for Non-experts Ansong Ni Zhangir Azerbayev Mutethia Mutuma Troy Feng Yusen Zhang Tao Yu Ahmed Hassan Awadallah Dragomir R. Radev 31 10 0 29 Aug 2021
RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving Ruochen Wang Xiangning Chen Minhao Cheng Xiaocheng Tang Cho-Jui Hsieh 41 13 0 18 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
HyperJump: Accelerating HyperBand via Risk Modelling Pedro Mendes Maria Casimiro Paolo Romano David Garlan 22 7 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
Approximating the Manifold Structure of Attributed Incentive Salience from Large Scale Behavioural Data. A Representation Learning Approach Based on Artificial Neural Networks Valerio Bonometti Mathieu J. Ruiz Anders Drachen Alex R. Wade CML 19 0 0 03 Aug 2021
Fine-Grained Classroom Activity Detection from Audio with Neural Networks Eric Slyman Chris Daw Morgan Skrabut A. Usenko Brian Hutchinson HAI 25 5 0 29 Jul 2021
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings Shengpu Tang Jenna Wiens OffRL 26 78 0 23 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
Declarative Machine Learning Systems Piero Molino Christopher Ré AI4TS 21 19 0 16 Jul 2021