LightAutoML: AutoML Solution for a Large Financial Services Ecosystem

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LightAutoML: AutoML Solution for a Large Financial Services Ecosystem

3 September 2021

Anton Vakhrushev

Rinchin Damdinov

Alexander Tuzhilin

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Papers citing "LightAutoML: AutoML Solution for a Large Financial Services Ecosystem"

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Title
Amazon SageMaker Autopilot: a white box AutoML solution at scale Piali Das Laurence Rouesnel Nikita Ivkin Tanya Bansal Zohar Karnin ... Giovanni Zappella Cedric Archembeau Matthias Seeger Bhaskar Dutt K. Venkateswar 67 68 0 15 Dec 2020
Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL Lucas Zimmer Marius Lindauer Frank Hutter MU 118 92 0 24 Jun 2020
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Nick Erickson Jonas W. Mueller Alexander Shirkov Hang Zhang Pedro Larroy Mu Li Alex Smola LMTD 223 631 0 13 Mar 2020
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 670 5,872 0 25 Jul 2019
Visus: An Interactive System for Automatic Machine Learning Model Building and Curation Aécio Santos Sonia Castelo Cristian Felix Jorge Piazentin Ono Bowen Yu S. Hong Cláudio T. Silva E. Bertini J. Freire HAI 39 30 0 05 Jul 2019
An Open Source AutoML Benchmark Pieter Gijsbers E. LeDell Janek Thomas Sébastien Poirier B. Bischl Joaquin Vanschoren VLM 63 241 0 01 Jul 2019
Evaluating time series forecasting models: An empirical study on performance estimation methods Vítor Cerqueira Luís Torgo I. Mozetič AI4TS 45 257 0 28 May 2019
Sherlock: A Deep Learning Approach to Semantic Data Type Detection Madelon Hulsebos K. Hu Michiel A. Bakker Emanuel Zgraggen Arvind Satyanarayan Tim Kraska cCaugatay Demiralp César A. Hidalgo HAI 66 181 0 25 May 2019
CatBoost: gradient boosting with categorical features support Anna Veronika Dorogush Vasily Ershov Andrey Gulin 149 1,342 0 24 Oct 2018
OBOE: Collaborative Filtering for AutoML Model Selection Chengrun Yang Yuji Akimoto Dae Won Kim Madeleine Udell 52 101 0 09 Aug 2018
Automatic Gradient Boosting Janek Thomas Stefan Coors B. Bischl 88 23 0 10 Jul 2018
Auto-Keras: An Efficient Neural Architecture Search System Haifeng Jin Qingquan Song Helen Zhou 115 809 0 27 Jun 2018
Multiple Adaptive Bayesian Linear Regression for Scalable Bayesian Optimization with Warm Start Valerio Perrone Rodolphe Jenatton Matthias Seeger Cédric Archambeau BDL 54 25 0 08 Dec 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 22,090 0 22 May 2017
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 817 39,062 0 09 Mar 2016