Hyp-RL : Hyperparameter Optimization by Reinforcement Learning

27 June 2019

Papers citing "Hyp-RL : Hyperparameter Optimization by Reinforcement Learning"

33 / 33 papers shown

Title
Reinforcement Teaching Alex Lewandowski Calarina Muslimani Dale Schuurmans Matthew E. Taylor Jun-Jie Luo 81 1 0 28 Jan 2025
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners Weihao Zeng Yuzhen Huang Lulu Zhao Yijun Wang Zifei Shan Junxian He LRM 35 7 0 23 Dec 2024
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models Jianyi Zhang Da-Cheng Juan Cyrus Rashtchian Chun-Sung Ferng Heinrich Jiang Y. Chen 33 4 0 01 Nov 2024
Reinforcement Learning Meets Visual Odometry Nico Messikommer Giovanni Cioffi Mathias Gehrig Davide Scaramuzza 45 2 0 22 Jul 2024
A Game of Bundle Adjustment -- Learning Efficient Convergence Amir Belder R. Vivanti A. Tal 18 2 0 25 Aug 2023
Scope Loss for Imbalanced Classification and RL Exploration Hasham Burhani Xiaolong Shi Jonathan Jaegerman Daniel Balicki 14 0 0 08 Aug 2023
ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design Srivatsan Krishnan Amir Yazdanbaksh Shvetank Prakash Jason J. Jabbour Ikechukwu Uchendu ... Behzad Boroujerdian Daniel Richins Devashree Tripathy Aleksandra Faust Vijay Janapa Reddi 43 11 0 15 Jun 2023
Stepsize Learning for Policy Gradient Methods in Contextual Markov Decision Processes Luca Sabbioni Francesco Corda Marcello Restelli 16 0 0 13 Jun 2023
Deep Ranking Ensembles for Hyperparameter Optimization Abdus Salam Khazi Sebastian Pineda Arango Josif Grabocka BDL 31 7 0 27 Mar 2023
A Framework for History-Aware Hyperparameter Optimisation in Reinforcement Learning Juan Marcelo Parra Ullauri Chen Zhen A. García-Domínguez Nelly Bencomo Changgang Zheng Juan Boubeta-Puig Guadalupe Ortiz Shufan Yang OffRL 16 0 0 09 Mar 2023
Revisiting Weighted Aggregation in Federated Learning with Neural Networks Zexi Li Tao R. Lin Xinyi Shang Chao-Xiang Wu FedML 37 59 0 14 Feb 2023
Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligence Jian Guo Sai Wang L. Ni H. Shum AIFin 19 8 0 13 Dec 2022
Online Meta-Learning for Model Update Aggregation in Federated Learning for Click-Through Rate Prediction Xianghang Liu Bartlomiej Twardowski Tri Kurniawan Wijaya FedML 21 1 0 30 Aug 2022
Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning Houkun Zhu Dominik Scheinert L. Thamsen Kordian Gontarska O. Kao 11 3 0 19 Jul 2022
A Practical AoI Scheduler in IoT Networks with Relays Biplav Choudhury Prasenjit Karmakar Vijay K. Shah Jeffrey H. Reed 11 1 0 08 Mar 2022
Hyperparameter Tuning for Deep Reinforcement Learning Applications M. Kiran Melis Ozyildirim 29 22 0 26 Jan 2022
Discrete Simulation Optimization for Tuning Machine Learning Method Hyperparameters V. Ramamohan Shobhit Singhal Aditya Gupta N. Bolia 14 1 0 16 Jan 2022
Automated Reinforcement Learning: An Overview Reza Refaei Afshar Yingqian Zhang Joaquin Vanschoren U. Kaymak OffRL 18 16 0 13 Jan 2022
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 25 26 0 16 Dec 2021
Hyper-parameter optimization based on soft actor critic and hierarchical mixture regularization Chaoyue Liu Yulai Zhang 9 0 0 08 Dec 2021
A survey on multi-objective hyperparameter optimization algorithms for Machine Learning A. Hernández I. Nieuwenhuyse Sebastian Rojas Gonzalez 21 95 0 23 Nov 2021
Improving Hyperparameter Optimization by Planning Ahead H. Jomaa Jonas K. Falkner Lars Schmidt-Thieme 22 0 0 15 Oct 2021
AoI-minimizing Scheduling in UAV-relayed IoT Networks Biplav Choudhury Vijay K. Shah Vijay K. Shah A. Ferdowsi Jeffrey H. Reed Y. T. Hou 24 22 0 12 Jul 2021
BFTrainer: Low-Cost Training of Neural Networks on Unfillable Supercomputer Nodes Zhengchun Liu R. Kettimuthu M. Papka Ian T. Foster 29 3 0 22 Jun 2021
HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenML Sebastian Pineda Arango H. Jomaa Martin Wistuba Josif Grabocka 22 55 0 11 Jun 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 13 58 0 29 Apr 2021
FaiR-IoT: Fairness-aware Human-in-the-Loop Reinforcement Learning for Harnessing Human Variability in Personalized IoT Salma Elmalaki 6 32 0 30 Mar 2021
Hyperparameter Optimization with Differentiable Metafeatures H. Jomaa Lars Schmidt-Thieme Josif Grabocka AI4CE 14 3 0 07 Feb 2021
A Learning-Based Tune-Free Control Framework for Large Scale Autonomous Driving System Deployment Yu Wang Shu Jiang Weiman Lin Yu Cao Longtao Lin Jiangtao Hu Jinghao Miao Qi Luo 11 3 0 09 Nov 2020
IEO: Intelligent Evolutionary Optimisation for Hyperparameter Tuning Yuxi Huan Fan Wu Michail Basios Leslie Kanthan Lingbo Li Baowen Xu VLM 9 4 0 10 Sep 2020
Active Learning with Multiple Kernels Songnam Hong Jeongmin Chae VLM 6 17 0 07 May 2020
Robust Federated Learning Through Representation Matching and Adaptive Hyper-parameters Hesham Mostafa FedML 17 39 0 30 Dec 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016