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Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free
  Optimization
v1v2 (latest)

Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization

Knowledge Discovery and Data Mining (KDD), 2020
15 December 2020
Valerio Perrone
Huibin Shen
Aida Zolic
I. Shcherbatyi
Amr Ahmed
Tanya Bansal
Michele Donini
Fela Winkelmolen
Rodolphe Jenatton
Jean Baptiste Faddoul
Barbara Pogorzelska
Miroslav Miladinovic
K. Kenthapadi
Matthias Seeger
Cédric Archambeau
ArXiv (abs)PDFHTML

Papers citing "Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization"

9 / 9 papers shown
FLStore: Efficient Federated Learning Storage for non-training workloads
FLStore: Efficient Federated Learning Storage for non-training workloads
Ahmad Faraz Khan
Samuel Fountain
Ahmed M. Abdelmoniem
A. R. Butt
A. Anwar
FedML
344
0
0
01 Mar 2025
Comparative Analysis of AWS Model Deployment Services
Comparative Analysis of AWS Model Deployment ServicesInternational Journal of Computer Trends and Technology (IJCTT), 2024
Rahul Bagai
ELM
139
13
0
13 May 2024
SigOpt Mulch: An Intelligent System for AutoML of Gradient Boosted Trees
SigOpt Mulch: An Intelligent System for AutoML of Gradient Boosted TreesKnowledge-Based Systems (KBS), 2023
Aleksei G. Sorokin
Xinran Zhu
E. Lee
Bolong Cheng
161
7
0
10 Jul 2023
Transfer Learning for Fine-grained Classification Using Semi-supervised
  Learning and Visual Transformers
Transfer Learning for Fine-grained Classification Using Semi-supervised Learning and Visual Transformers
Manuel Lagunas
Brayan Impata
Victor Martinez
Virginia Fernandez
Christos Georgakis
Sofia Braun
Felipe Bertrand
ViT
175
13
0
17 May 2023
IoT Data Analytics in Dynamic Environments: From An Automated Machine
  Learning Perspective
IoT Data Analytics in Dynamic Environments: From An Automated Machine Learning PerspectiveEngineering applications of artificial intelligence (EAAI), 2022
Li Yang
Abdallah Shami
240
79
0
16 Sep 2022
Transfer Learning based Search Space Design for Hyperparameter Tuning
Transfer Learning based Search Space Design for Hyperparameter TuningKnowledge Discovery and Data Mining (KDD), 2022
Yan Zhao
Yu Shen
Huaijun Jiang
Tianyi Bai
Wentao Zhang
Ce Zhang
Tengjiao Wang
244
18
0
06 Jun 2022
Distributionally Robust Bayesian Optimization with $\varphi$-divergences
Distributionally Robust Bayesian Optimization with φ\varphiφ-divergencesNeural Information Processing Systems (NeurIPS), 2022
Hisham Husain
Vu-Linh Nguyen
Anton Van Den Hengel
532
21
0
04 Mar 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Automated Reinforcement Learning (AutoRL): A Survey and Open ProblemsJournal of Artificial Intelligence Research (JAIR), 2022
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Katharina Eggensperger
Marius Lindauer
AI4CE
470
134
0
11 Jan 2022
A Simple and Fast Baseline for Tuning Large XGBoost Models
A Simple and Fast Baseline for Tuning Large XGBoost Models
Sanyam Kapoor
Valerio Perrone
137
13
0
12 Nov 2021
1
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