TrimTuner: Efficient Optimization of Machine Learning Jobs in the Cloud via Sub-Sampling

9 November 2020

Papers citing "TrimTuner: Efficient Optimization of Machine Learning Jobs in the Cloud via Sub-Sampling"

12 / 12 papers shown

Adapting Multi-objectivized Software Configuration Tuning

Tao Chen

Miqing Li

215

06 Apr 2024

Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow ApplicationsBigData Congress [Services Society] (BSS), 2023

328

24 Nov 2023

Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data AnalyticsIEEE International Performance, Computing, and Communications Conference (IPCCC), 2023

317

22 Aug 2023

Hyper-parameter Tuning for Adversarially Robust Models

254

05 Apr 2023

Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics

242

15 Nov 2022

Batch Multi-Fidelity Active Learning with Budget ConstraintsNeural Information Processing Systems (NeurIPS), 2022

370

23 Oct 2022

Planning Landscape Analysis for Self-Adaptive SystemsInternational Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), 2022

Tao Chen

123

23 Mar 2022

Supervising the Multi-Fidelity Race of Hyperparameter ConfigurationsNeural Information Processing Systems (NeurIPS), 2022

Martin Wistuba

Arlind Kadra

Josif Grabocka

327

20 Feb 2022

Lifelong Dynamic Optimization for Self-Adaptive Systems: Fact or Fiction?IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER), 2022

Tay-Yu Chen

153

18 Jan 2022

MMO: Meta Multi-Objectivization for Software Configuration Tuning

Pengzhou Chen

Tao Chen

Miqing Li

212

14 Dec 2021

HyperJump: Accelerating HyperBand via Risk ModellingAAAI Conference on Artificial Intelligence (AAAI), 2021

412

05 Aug 2021

Multi-Objectivizing Software Configuration Tuning (for a single performance concern)

Tao Chen

Miqing Li

168

31 May 2021