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The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective
  System Development
v1v2v3v4 (latest)

The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development

22 May 2019
Micah J. Smith
Carles Sala Cladellas
James Max Kanter
K. Veeramachaneni
ArXiv (abs)PDFHTML

Papers citing "The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development"

17 / 17 papers shown
Title
Targeted synthetic data generation for tabular data via hardness characterization
Targeted synthetic data generation for tabular data via hardness characterization
Tommaso Ferracci
Leonie Goldmann
Anton Hinel
Francesco Sanna Passino
260
1
0
01 Oct 2024
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
66
85
0
03 Nov 2021
An Open Source AutoML Benchmark
An Open Source AutoML Benchmark
Pieter Gijsbers
E. LeDell
Janek Thomas
Sébastien Poirier
B. Bischl
Joaquin Vanschoren
VLM
71
242
0
01 Jul 2019
Type-Driven Automated Learning with Lale
Type-Driven Automated Learning with Lale
Martin Hirzel
Kiran Kate
Avraham Shinnar
Subhrajit Roy
Parikshit Ram
46
6
0
24 May 2019
NeuronBlocks: Building Your NLP DNN Models Like Playing Lego
NeuronBlocks: Building Your NLP DNN Models Like Playing Lego
Ming Gong
Linjun Shou
Wutao Lin
Zhijie Sang
Quanjia Yan
Ze Yang
Feixiang Cheng
Daxin Jiang
36
5
0
21 Apr 2019
A System for Massively Parallel Hyperparameter Tuning
A System for Massively Parallel Hyperparameter Tuning
Liam Li
Kevin Jamieson
Afshin Rostamizadeh
Ekaterina Gonina
Moritz Hardt
Benjamin Recht
Ameet Talwalkar
77
387
0
13 Oct 2018
Troubling Trends in Machine Learning Scholarship
Troubling Trends in Machine Learning Scholarship
Zachary Chase Lipton
Jacob Steinhardt
56
292
0
09 Jul 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
Stefan Falkner
Aaron Klein
Frank Hutter
BDL
213
1,102
0
04 Jul 2018
BOCK : Bayesian Optimization with Cylindrical Kernels
BOCK : Bayesian Optimization with Cylindrical Kernels
Changyong Oh
E. Gavves
Max Welling
82
137
0
05 Jun 2018
Rafiki: Machine Learning as an Analytics Service System
Rafiki: Machine Learning as an Analytics Service System
Wei Wang
Sheng Wang
Jinyang Gao
Meihui Zhang
Gang Chen
Teck Khim Ng
Beng Chin Ooi
89
113
0
17 Apr 2018
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic
  Thresholding
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding
K. Hundman
V. Constantinou
Christopher Laporte
Ian Colwell
T. Söderström
AI4TS
127
1,260
0
13 Feb 2018
OpenML Benchmarking Suites
OpenML Benchmarking Suites
B. Bischl
Giuseppe Casalicchio
Matthias Feurer
Pieter Gijsbers
Frank Hutter
Michel Lang
R. G. Mantovani
Jan N. van Rijn
Joaquin Vanschoren
VLMELM
107
162
0
11 Aug 2017
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
246
2,336
0
21 Mar 2016
Evaluation of a Tree-based Pipeline Optimization Tool for Automating
  Data Science
Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science
Randal S. Olson
Nathan Bartley
Ryan J. Urbanowicz
J. Moore
63
530
0
20 Mar 2016
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
823
39,255
0
09 Mar 2016
Non-stochastic Best Arm Identification and Hyperparameter Optimization
Non-stochastic Best Arm Identification and Hyperparameter Optimization
Kevin Jamieson
Ameet Talwalkar
215
580
0
27 Feb 2015
Practical Bayesian Optimization of Machine Learning Algorithms
Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek
Hugo Larochelle
Ryan P. Adams
384
7,981
0
13 Jun 2012
1