ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.08489
  4. Cited By
Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free
  Optimization

Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization

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
ArXivPDFHTML

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

10 / 10 papers shown
Title
FLStore: Efficient Federated Learning Storage for non-training workloads
Ahmad Faraz Khan
Samuel Fountain
Ahmed M. Abdelmoniem
A. R. Butt
A. Anwar
FedML
48
0
0
01 Mar 2025
Comparative Analysis of AWS Model Deployment Services
Comparative Analysis of AWS Model Deployment Services
Rahul Bagai
ELM
25
4
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 Trees
Aleksei G. Sorokin
Xinran Zhu
E. Lee
Bolong Cheng
30
2
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
25
8
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 Perspective
Li Yang
Abdallah Shami
11
52
0
16 Sep 2022
Transfer Learning based Search Space Design for Hyperparameter Tuning
Transfer Learning based Search Space Design for Hyperparameter Tuning
Yang Li
Yu Shen
Huaijun Jiang
Tianyi Bai
Wentao Zhang
Ce Zhang
Bin Cui
27
13
0
06 Jun 2022
Distributionally Robust Bayesian Optimization with $\varphi$-divergences
Distributionally Robust Bayesian Optimization with φ\varphiφ-divergences
Hisham Husain
Vu-Linh Nguyen
A. Hengel
38
13
0
04 Mar 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Frank Hutter
Marius Lindauer
AI4CE
30
100
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
9
8
0
12 Nov 2021
Max-value Entropy Search for Efficient Bayesian Optimization
Max-value Entropy Search for Efficient Bayesian Optimization
Zi Wang
Stefanie Jegelka
110
403
0
06 Mar 2017
1