Non-stochastic Best Arm Identification and Hyperparameter Optimization

27 February 2015

Papers citing "Non-stochastic Best Arm Identification and Hyperparameter Optimization"

50 / 241 papers shown

Title
Navigating Noise: A Study of How Noise Influences Generalisation and Calibration of Neural Networks Martin Ferianc Ondrej Bohdal Timothy M. Hospedales Miguel R. D. Rodrigues 15 4 0 30 Jun 2023
Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimisation Sigrid Passano Hellan Huibin Shen Franccois-Xavier Aubet David Salinas Aaron Klein 35 1 0 29 Jun 2023
PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning Neeratyoy Mallik Eddie Bergman Carl Hvarfner Daniel Stoll Maciej Janowski Marius Lindauer Luigi Nardi Frank Hutter 16 23 0 21 Jun 2023
Masked Diffusion Models Are Fast Distribution Learners Jiachen Lei Qinglong Wang Pengyu Cheng Zhongjie Ba Zhan Qin Peng Kuang Zhenguang Liu Kui Ren DiffM 31 2 0 20 Jun 2023
Multi-Fidelity Multi-Armed Bandits Revisited Xuchuang Wang Qingyun Wu Wei Chen John C. S. Lui 36 3 0 13 Jun 2023
Multi-Objective Population Based Training A. Dushatskiy A. Chebykin Tanja Alderliesten Peter A. N. Bosman 35 2 0 02 Jun 2023
Python Wrapper for Simulating Multi-Fidelity Optimization on HPO Benchmarks without Any Wait Shuhei Watanabe 41 1 0 27 May 2023
MO-DEHB: Evolutionary-based Hyperband for Multi-Objective Optimization Noor H. Awad Ayush Sharma Philipp Muller Janek Thomas Frank Hutter 33 1 0 08 May 2023
Optimizing Hyperparameters with Conformal Quantile Regression David Salinas Jacek Golebiowski Aaron Klein Matthias Seeger Cédric Archambeau 24 8 0 05 May 2023
Oversampling Higher-Performing Minorities During Machine Learning Model Training Reduces Adverse Impact Slightly but Also Reduces Model Accuracy Louis Hickman J. Kuruzovich Vincent Ng Kofi Arhin Danielle Wilson 14 13 0 27 Apr 2023
Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single Paul Vicol Zico Kolter Kevin Swersky 21 6 0 21 Apr 2023
HPN: Personalized Federated Hyperparameter Optimization Anda Cheng Zhen Wang Yaliang Li Jianwei Cheng 32 1 0 11 Apr 2023
Hyper-parameter Tuning for Adversarially Robust Models Pedro Mendes Paolo Romano David Garlan AAML 24 2 0 05 Apr 2023
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML Hilde J. P. Weerts Florian Pfisterer Matthias Feurer Katharina Eggensperger Eddie Bergman Noor H. Awad Joaquin Vanschoren Mykola Pechenizkiy B. Bischl Frank Hutter FaML 44 18 0 15 Mar 2023
VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building [Technical Report] Maureen Daum Enhao Zhang Dong He Stephen Mussmann Brandon Haynes Ranjay Krishna Magdalena Balazinska 32 4 0 07 Mar 2023
Paramater Optimization for Manipulator Motion Planning using a Novel Benchmark Set Carl Gäbert Sascha Kaden B. Fischer Ulrike Thomas 13 1 0 28 Feb 2023
Symbolic Discovery of Optimization Algorithms Xiangning Chen Chen Liang Da Huang Esteban Real Kaiyuan Wang ... Xuanyi Dong Thang Luong Cho-Jui Hsieh Yifeng Lu Quoc V. Le 67 353 0 13 Feb 2023
A Lipschitz Bandits Approach for Continuous Hyperparameter Optimization Yasong Feng Weijian Luo Yimin Huang Tianyu Wang 26 8 0 03 Feb 2023
Scaling Laws for Hyperparameter Optimization Arlind Kadra Maciej Janowski Martin Wistuba Josif Grabocka 28 9 0 01 Feb 2023
Learning to Rank Normalized Entropy Curves with Differentiable Window Transformation Hanyang Liu Shuai Yang Feng Qi Shuaiwen Wang 33 0 0 25 Jan 2023
Neural Architecture Search: Insights from 1000 Papers Colin White Mahmoud Safari R. Sukthanker Binxin Ru T. Elsken Arber Zela Debadeepta Dey Frank Hutter 3DV AI4CE 34 130 0 20 Jan 2023
Toward Theoretical Guidance for Two Common Questions in Practical Cross-Validation based Hyperparameter Selection Parikshit Ram Alexander G. Gray Horst Samulowitz Gregory Bramble 29 1 0 12 Jan 2023
Faster Maximum Inner Product Search in High Dimensions Mo Tiwari Ryan Kang Je-Yong Lee Luke Lee Chris Piech Sebastian Thrun Ilan Shomorony Martin Jinye Zhang 34 6 0 14 Dec 2022
AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration Jasmin Brandt Elias Schede Viktor Bengs Björn Haddenhorst Eyke Hüllermeier Kevin Tierney 17 5 0 01 Dec 2022
Using Supervised Deep-Learning to Model Edge-FBG Shape Sensors Samaneh Manavi Roodsari Antal Huck-Horváth Sara Freund A. Zam G. Rauter Wolfgang Schade Philippe C. Cattin 27 9 0 28 Oct 2022
Review of the state of the art in autonomous artificial intelligence P. Radanliev D. De Roure 13 12 0 17 Oct 2022
Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning HyunJae Lee Gihyeon Lee Junh-Nam Kim Sungjun Cho Dohyun Kim Donggeun Yoo 39 3 0 26 Sep 2022
Efficient Methods for Natural Language Processing: A Survey Marcos Vinícius Treviso Ji-Ung Lee Tianchu Ji Betty van Aken Qingqing Cao ... Emma Strubell Niranjan Balasubramanian Leon Derczynski Iryna Gurevych Roy Schwartz 33 109 0 31 Aug 2022
SONAR: Joint Architecture and System Optimization Search Elias Jääsaari Michelle Ma Ameet Talwalkar Tianqi Chen 38 1 0 25 Aug 2022
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination Tingting Wu Xiao Ding Hao Zhang Jin-Fang Gao Li Du Bing Qin Ting Liu 49 9 0 21 Aug 2022
How important are socioeconomic factors for hurricane performance of power systems? An analysis of disparities through machine learning Alexys Herleym Rodríguez Avellaneda A. Shafieezadeh Alper Yılmaz 16 6 0 18 Aug 2022
ACE: Adaptive Constraint-aware Early Stopping in Hyperparameter Optimization Yi-Wei Chen Chi Wang A. Saied Rui Zhuang 19 2 0 04 Aug 2022
Tackling Neural Architecture Search With Quality Diversity Optimization Lennart Schneider Florian Pfisterer P. Kent Juergen Branke B. Bischl Janek Thomas AI4CE 35 3 0 30 Jul 2022
AMLB: an AutoML Benchmark Pieter Gijsbers Marcos L. P. Bueno Stefan Coors E. LeDell Sébastien Poirier Janek Thomas B. Bischl Joaquin Vanschoren 40 53 0 25 Jul 2022
Bayesian Generational Population-Based Training Xingchen Wan Cong Lu Jack Parker-Holder Philip J. Ball Vu-Linh Nguyen Binxin Ru Michael A. Osborne OffRL 31 15 0 19 Jul 2022
PASHA: Efficient HPO and NAS with Progressive Resource Allocation Ondrej Bohdal Lukas Balles Martin Wistuba Beyza Ermis Cédric Archambeau Giovanni Zappella 40 12 0 14 Jul 2022
Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning Paul Novello Gaël Poëtte D. Lugato P. Congedo 14 17 0 13 Jul 2022
Parallel Bayesian Optimization of Agent-based Transportation Simulation Kiran Chhatre Sidney A. Feygin C. Sheppard Rashid A. Waraich MoE 12 0 0 11 Jul 2022
Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings Adrian Kochsiek Fritz Niesel Rainer Gemulla 23 3 0 11 Jul 2022
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach Syrine Belakaria J. Doppa Nicolò Fusi Rishit Sheth 33 7 0 25 Jun 2022
DeepCAVE: An Interactive Analysis Tool for Automated Machine Learning René Sass Eddie Bergman André Biedenkapp Frank Hutter Marius Lindauer 30 13 0 07 Jun 2022
Transfer Learning based Search Space Design for Hyperparameter Tuning Yang Li Yu Shen Huaijun Jiang Tianyi Bai Wentao Zhang Ce Zhang Bin Cui 38 13 0 06 Jun 2022
Hyperparameter Optimization with Neural Network Pruning Kangil Lee Junho Yim 15 6 0 18 May 2022
Hyper-Learning for Gradient-Based Batch Size Adaptation Calum MacLellan Feng Dong 19 0 0 17 May 2022
Efficient Automated Deep Learning for Time Series Forecasting Difan Deng Florian Karl Frank Hutter Bernd Bischl Marius Lindauer AI4TS 50 16 0 11 May 2022
Transformation-Interaction-Rational Representation for Symbolic Regression F. O. França 55 8 0 25 Apr 2022
SHiFT: An Efficient, Flexible Search Engine for Transfer Learning Cédric Renggli Xiaozhe Yao Luka Kolar Luka Rimanic Ana Klimovic Ce Zhang OOD 40 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
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning Krishnateja Killamsetty Guttu Sai Abhishek Aakriti A. Evfimievski Lucian Popa Ganesh Ramakrishnan Rishabh K. Iyer 23 25 0 15 Mar 2022