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An ADMM Based Framework for AutoML Pipeline Configuration

An ADMM Based Framework for AutoML Pipeline Configuration

1 May 2019
Sijia Liu
Parikshit Ram
Deepak Vijaykeerthy
Djallel Bouneffouf
Gregory Bramble
Horst Samulowitz
Dakuo Wang
A. Conn
Alexander G. Gray
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Papers citing "An ADMM Based Framework for AutoML Pipeline Configuration"

15 / 15 papers shown
Title
AlphaD3M: Machine Learning Pipeline Synthesis
AlphaD3M: Machine Learning Pipeline Synthesis
Iddo Drori
Yamuna Krishnamurthy
Rémi Rampin
Raoni Lourenço
Jorge Piazentin Ono
Kyunghyun Cho
Claudio Silva
J. Freire
52
85
0
03 Nov 2021
A Primer on Zeroth-Order Optimization in Signal Processing and Machine
  Learning
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
67
230
0
11 Jun 2020
Human-AI Collaboration in Data Science: Exploring Data Scientists'
  Perceptions of Automated AI
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
200
313
0
05 Sep 2019
Meta-Learning: A Survey
Meta-Learning: A Survey
Joaquin Vanschoren
FedML
OOD
60
763
0
08 Oct 2018
OBOE: Collaborative Filtering for AutoML Model Selection
OBOE: Collaborative Filtering for AutoML Model Selection
Chengrun Yang
Yuji Akimoto
Dae Won Kim
Madeleine Udell
50
101
0
09 Aug 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
Stefan Falkner
Aaron Klein
Frank Hutter
BDL
193
1,093
0
04 Jul 2018
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization
Sijia Liu
B. Kailkhura
Pin-Yu Chen
Pai-Shun Ting
Shiyu Chang
Lisa Amini
87
182
0
25 May 2018
Autostacker: A Compositional Evolutionary Learning System
Autostacker: A Compositional Evolutionary Learning System
Boyuan Chen
Harvey Wu
Warren Mo
I. Chattopadhyay
Hod Lipson
BDL
41
84
0
02 Mar 2018
A comparative study of fairness-enhancing interventions in machine
  learning
A comparative study of fairness-enhancing interventions in machine learning
Sorelle A. Friedler
C. Scheidegger
Suresh Venkatasubramanian
Sonam Choudhary
Evan P. Hamilton
Derek Roth
FaML
93
640
0
13 Feb 2018
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
Lisha Li
Kevin Jamieson
Giulia DeSalvo
Afshin Rostamizadeh
Ameet Talwalkar
213
2,321
0
21 Mar 2016
Selecting Near-Optimal Learners via Incremental Data Allocation
Selecting Near-Optimal Learners via Incremental Data Allocation
Ashish Sabharwal
Horst Samulowitz
Gerald Tesauro
51
64
0
31 Dec 2015
Non-stochastic Best Arm Identification and Hyperparameter Optimization
Non-stochastic Best Arm Identification and Hyperparameter Optimization
Kevin Jamieson
Ameet Talwalkar
189
579
0
27 Feb 2015
On the Linear Convergence of the Alternating Direction Method of
  Multipliers
On the Linear Convergence of the Alternating Direction Method of Multipliers
Mingyi Hong
Zhi-Quan Luo
75
721
0
20 Aug 2012
Auto-WEKA: Combined Selection and Hyperparameter Optimization of
  Classification Algorithms
Auto-WEKA: Combined Selection and Hyperparameter Optimization of Classification Algorithms
C. Thornton
Frank Hutter
Holger H. Hoos
Kevin Leyton-Brown
69
76
0
18 Aug 2012
Practical Bayesian Optimization of Machine Learning Algorithms
Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek
Hugo Larochelle
Ryan P. Adams
333
7,923
0
13 Jun 2012
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