Helix: Holistic Optimization for Accelerating Iterative Machine Learning

14 December 2018

Papers citing "Helix: Holistic Optimization for Accelerating Iterative Machine Learning"

8 / 8 papers shown

Title
Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows D. Lee Dixin Tang Kunal Agarwal Thyne Boonmark Caitlyn Chen ... U. Mukhopadhyay Jerry Song Micah Yong Marti A. Hearst Aditya G. Parameswaran 87 51 0 30 Apr 2021
Distributed Learning Systems with First-order Methods Ji Liu Ce Zhang 36 44 0 12 Apr 2021
Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities Doris Xin Hui Miao Aditya G. Parameswaran N. Polyzotis AI4TS 141 65 0 30 Mar 2021
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning Hantian Zhang Xu Chu Abolfazl Asudeh S. Navathe FaML VLM 82 46 0 13 Mar 2021
Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows Doris Xin Eva Yiwei Wu D. Lee Niloufar Salehi Aditya G. Parameswaran 118 98 0 13 Jan 2021
MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines Zhaojing Luo Sai-Ho Yeung Meihui Zhang Kaiping Zheng Lei Zhu Gang Chen Feiyi Fan Qian Lin K. Ngiam Beng Chin Ooi 148 29 0 17 Oct 2020
Hindsight Logging for Model Training Rolando Garcia Eric Liu Vikram Sreekanti Bobby Yan Anusha Dandamudi Joseph E. Gonzalez J. M. Hellerstein Koushik Sen VLM 77 10 0 12 Jun 2020
Progressive Data Science: Potential and Challenges Cagatay Turkay Nicola Pezzotti Carsten Binnig Hendrik Strobelt Barbara Hammer Daniel A. Keim Jean-Daniel Fekete Themis Palpanas Yunhai Wang Florin Rusu AI4TS AI4CE 75 36 0 19 Dec 2018