Micah J. Smith

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 14

Top Topics

Query Optimization

Cardinality Estimation

Term Dependencies

Top Venues

Proc. VLDB Endow.

ACM Comput. Surv.

Publications

Eric Lehman, Evan Hernandez, Diwakar Mahajan, Jonas Wulff, Micah J. Smith, Zachary Ziegler, Daniel Nadler, Peter Szolovits, Alistair E. W. Johnson, Emily Alsentzer
Do We Still Need Clinical Language Models? CHIL (2023)
Eric Lehman, Evan Hernandez, Diwakar Mahajan, Jonas Wulff, Micah J. Smith, Zachary Ziegler, Daniel Nadler, Peter Szolovits, Alistair E. W. Johnson, Emily Alsentzer
Do We Still Need Clinical Language Models? CoRR (2023)
Shubhra Kanti Karmaker Santu, Md. Mahadi Hassan, Micah J. Smith, Lei Xu, Chengxiang Zhai, Kalyan Veeramachaneni
AutoML to Date and Beyond: Challenges and Opportunities. ACM Comput. Surv. 54 (8) (2022)
Micah J. Smith, Jürgen Cito, Kelvin Lu, Kalyan Veeramachaneni
Enabling Collaborative Data Science Development with the Ballet Framework. Proc. ACM Hum. Comput. Interact. 5 (CSCW2) (2021)
Micah J. Smith, Jürgen Cito, Kalyan Veeramachaneni
Meeting in the notebook: a notebook-based environment for micro-submissions in data science collaborations. CoRR (2021)
Micah J. Smith, Carles Sala, James Max Kanter, Kalyan Veeramachaneni
The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development. SIGMOD Conference (2020)
Dongyu Liu, Micah J. Smith, Kalyan Veeramachaneni
Understanding User-Bot Interactions for Small-Scale Automation in Open-Source Development. CHI Extended Abstracts (2020)
Micah J. Smith, Jürgen Cito, Kelvin Lu, Kalyan Veeramachaneni
Enabling collaborative data science development with the Ballet framework. CoRR (2020)
Shubhra Kanti Karmaker Santu, Md. Mahadi Hassan, Micah J. Smith, Lei Xu, ChengXiang Zhai, Kalyan Veeramachaneni
A Level-wise Taxonomic Perspective on Automated Machine Learning to Date and Beyond: Challenges and Opportunities. CoRR (2020)
Qianwen Wang, Yao Ming, Zhihua Jin, Qiaomu Shen, Dongyu Liu, Micah J. Smith, Kalyan Veeramachaneni, Huamin Qu
ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning. CHI (2019)
Micah J. Smith, Carles Sala, James Max Kanter, Kalyan Veeramachaneni
The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development. CoRR (2019)
Qianwen Wang, Yao Ming, Zhihua Jin, Qiaomu Shen, Dongyu Liu, Micah J. Smith, Kalyan Veeramachaneni, Huamin Qu
ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning. CoRR (2019)
Micah J. Smith, Roy Wedge, Kalyan Veeramachaneni
FeatureHub: Towards Collaborative Data Science. DSAA (2017)
José Cambronero, John K. Feser, Micah J. Smith, Samuel Madden
Query Optimization for Dynamic Imputation. Proc. VLDB Endow. 10 (11) (2017)