An ADMM Based Framework for AutoML Pipeline Configuration

An ADMM Based Framework for AutoML Pipeline Configuration

1 May 2019

Deepak Vijaykeerthy

Djallel Bouneffouf

Gregory Bramble

Horst Samulowitz

Alexander G. Gray

Papers citing "An ADMM Based Framework for AutoML Pipeline Configuration"

18 / 18 papers shown

Title
Minimisation of Quasar-Convex Functions Using Random Zeroth-Order Oracles Amir Ali Farzin Yuen-Man Pun Iman Shames 31 0 0 04 May 2025
A knowledge-driven AutoML architecture C. Cofaru Johan Loeckx 26 0 0 28 Nov 2023
Deep Pipeline Embeddings for AutoML Sebastian Pineda Arango Josif Grabocka 30 2 0 23 May 2023
OpenBox: A Python Toolkit for Generalized Black-box Optimization Huaijun Jiang Yu Shen Yang Li Beicheng Xu Sixian Du Wentao Zhang Ce Zhang Bin Cui 38 4 0 26 Apr 2023
A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning Xinyi Zhang Zhuonan Chang Hong Wu Yang Li Jia Chen Jian Tan Feifei Li Bin Cui 26 10 0 10 Mar 2023
Towards Personalized Preprocessing Pipeline Search Diego Martinez Daochen Zha Qiaoyu Tan Xia Hu AI4TS 29 2 0 28 Feb 2023
Telling Stories from Computational Notebooks: AI-Assisted Presentation Slides Creation for Presenting Data Science Work Chengbo Zheng Dakuo Wang A. Wang Xiaojuan Ma 22 52 0 21 Mar 2022
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
Naive Automated Machine Learning F. Mohr Marcel Wever 16 11 0 29 Nov 2021
A Scalable AutoML Approach Based on Graph Neural Networks M. Helali Essam Mansour Ibrahim Abdelaziz Julian T Dolby Kavitha Srinivas GNN 29 12 0 29 Oct 2021
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets Nitin Gupta Hima Patel S. Afzal Naveen Panwar Ruhi Sharma Mittal ... S. Mehta Sandeep Hans P. Lohia Aniya Aggarwal Diptikalyan Saha 28 40 0 12 Aug 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
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 54 94 0 01 Jul 2021
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning Matthias Feurer Katharina Eggensperger Stefan Falkner Marius Lindauer Frank Hutter 35 266 0 08 Jul 2020
Solving Constrained CASH Problems with ADMM Parikshit Ram Sijia Liu Deepak Vijaykeerthi Dakuo Wang Djallel Bouneffouf Gregory Bramble Horst Samulowitz Alexander G. Gray 26 3 0 17 Jun 2020
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning Sijia Liu Pin-Yu Chen B. Kailkhura Gaoyuan Zhang A. Hero III P. Varshney 21 224 0 11 Jun 2020
Trust in AutoML: Exploring Information Needs for Establishing Trust in Automated Machine Learning Systems Jaimie Drozdal Justin D. Weisz Dakuo Wang Gaurav Dass Bingsheng Yao Changruo Zhao Michael J. Muller Lin Ju Hui Su 44 125 0 17 Jan 2020
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI Dakuo Wang Justin D. Weisz Michael J. Muller Parikshit Ram Werner Geyer Casey Dugan Y. Tausczik Horst Samulowitz Alexander G. Gray 178 308 0 05 Sep 2019