research
∙
07/28/2023
Adversarial training for tabular data with attack propagation
Adversarial attacks are a major concern in security-centered application...
share
research
∙
04/05/2023
Hyper-parameter Tuning for Adversarially Robust Models
This work focuses on the problem of hyper-parameter tuning (HPT) for rob...
research
∙
08/05/2021
HyperJump: Accelerating HyperBand via Risk Modelling
In the literature on hyper-parameter tuning, a number of recent solution...
research
∙
11/09/2020
TrimTuner: Efficient Optimization of Machine Learning Jobs in the Cloud via Sub-Sampling
This work introduces TrimTuner, the first system for optimizing machine ...
research
∙
03/06/2020
Stretching the capacity of Hardware Transactional Memory in IBM POWER architectures
The hardware transactional memory (HTM) implementations in commercially ...
research
∙
03/06/2020
Bandwidth-Aware Page Placement in NUMA
Page placement is a critical problem for memoryintensive applications ru...
research
∙
05/06/2019
Lynceus: Tuning and Provisioning Data Analytic Jobs on a Budget
Many enterprises need to run data analytic jobs on the cloud. Significan...
research
∙
05/02/2019