Sue Ann Hong

Publication Activity (10 Years)

Years Active: 2009-2020
Publications (10 Years): 2

Top Topics

Hierarchical Classification

Machine Learning

Feature Selection

Top Venues

IEEE Data Eng. Bull.

Publications

Andrew Chen, Andy Chow, Aaron Davidson, Arjun DCunha, Ali Ghodsi, Sue Ann Hong, Andy Konwinski, Clemens Mewald, Siddharth Murching, Tomas Nykodym, Paul Ogilvie, Mani Parkhe, Avesh Singh, Fen Xie, Matei Zaharia, Richard Zang, Juntai Zheng, Corey Zumar
Developments in MLflow: A System to Accelerate the Machine Learning Lifecycle. DEEM@SIGMOD (2020)
Matei Zaharia, Andrew Chen, Aaron Davidson, Ali Ghodsi, Sue Ann Hong, Andy Konwinski, Siddharth Murching, Tomas Nykodym, Paul Ogilvie, Mani Parkhe, Fen Xie, Corey Zumar
Accelerating the Machine Learning Lifecycle with MLflow. IEEE Data Eng. Bull. 41 (4) (2018)
Geoffrey J. Gordon, Sue Ann Hong, Miroslav Dudík
First-Order Mixed Integer Linear Programming CoRR (2012)
Yisong Yue, Sue Ann Hong, Carlos Guestrin
Hierarchical Exploration for Accelerating Contextual Bandits. ICML (2012)
Sue Ann Hong, Geoffrey J. Gordon
Optimal Distributed Market-Based Planning for Multi-Agent Systems with Shared Resources. AISTATS (2011)
Geoffrey J. Gordon, Sue Ann Hong, Miroslav Dudík
First-Order Mixed Integer Linear Programming. UAI (2009)
Justin Betteridge, Andrew Carlson, Sue Ann Hong, Estevam R. Hruschka Jr., Edith L. M. Law, Tom M. Mitchell, Sophie H. Wang
Toward Never Ending Language Learning. AAAI Spring Symposium: Learning by Reading and Learning to Read (2009)