ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2011.07921
  4. Cited By
Towards a General Framework for ML-based Self-tuning Databases
v1v2 (latest)

Towards a General Framework for ML-based Self-tuning Databases

16 November 2020
Thomas Schmied
Diego Didona
Andreas Doring
Thomas Parnell
Nikolas Ioannou
ArXiv (abs)PDFHTML

Papers citing "Towards a General Framework for ML-based Self-tuning Databases"

2 / 2 papers shown
One Model to Rule them All: Towards Zero-Shot Learning for Databases
One Model to Rule them All: Towards Zero-Shot Learning for DatabasesConference on Innovative Data Systems Research (CIDR), 2021
Benjamin Hilprecht
Carsten Binnig
VLM
306
35
0
03 May 2021
High-Dimensional Bayesian Optimization with Multi-Task Learning for
  RocksDB
High-Dimensional Bayesian Optimization with Multi-Task Learning for RocksDB
Sami Alabed
Eiko Yoneki
379
20
0
30 Mar 2021
1
Page 1 of 1