基本信息
浏览量:1345
职业迁徙
个人简介
My group aims to dramatically increase the efficiency of data-intensive systems and democratize data science by enabling a broader range of users to unfold the potential of (their) data through the development of a new generation of algorithms and systems. This entails exploring how we can build systems to better support the recent advances in machine learning (Systems for ML) and how we can leverage machine learning to improve systems (ML for Systems). For example, with our work on SageDB we started to explore how we can enhance or even replace core systems components using machine learning models and early results suggest, that we can improve the state-of-the-art by more than an order-of-magnitude in performance. On the other hand, with Northstar we are exploring new user interfaces and infrastructure to democratize data science by enabling visual, interactive, and assisted data exploration and model building. One particular focus of this work is to help all types of users to analyse data and build models faster, but also make data exploration and model building safer by automatically preventing the user from common pitfalls.
研究兴趣
论文共 246 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Ziniu Wu,Ryan Marcus, Zhengchun Liu,Parimarjan Negi, Vikram Nathan, Pascal Pfeil, Gaurav Saxena, Mohammad Rahman,Balakrishnan Narayanaswamy,Tim Kraska
arxiv(2024)
引用0浏览0引用
0
0
CoRR (2023)
引用0浏览0EI引用
0
0
Proc. VLDB Endow.no. 9 (2023): 2302-2315
引用0浏览0EI引用
0
0
CoRR (2023)
引用0浏览0EI引用
0
0
引用0浏览0EI引用
0
0
Gaurav Saxena,Mohammad Rahman, Naresh Chainani, Chunbin Lin,George Caragea, Fahim Chowdhury,Ryan Marcus,Tim Kraska, Ippokratis Pandis,Balakrishnan (Murali) Narayanaswamy
SIGMOD/PODS '23: Companion of the 2023 International Conference on Management of Datapp.225-237, (2023)
引用1浏览0EI引用
1
0
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn