no code implementations • 24 Aug 2018 • Yeounoh Chung, Peter J. Haas, Eli Upfal, Tim Kraska
Over the past decades, researchers and ML practitioners have come up with better and better ways to build, understand and improve the quality of ML models, but mostly under the key assumption that the training data is distributed identically to the testing data.
no code implementations • 16 Jul 2018 • Yeounoh Chung, Tim Kraska, Neoklis Polyzotis, Ki Hyun Tae, Steven Euijong Whang
As machine learning systems become democratized, it becomes increasingly important to help users easily debug their models.
no code implementations • 8 Sep 2015 • Yeounoh Chung, Chang-yong Park, Noo-ri Kim, Hana Cho, Taebok Yoon, Hunjoo Lee, Jee-Hyong Lee
Then, it develops a local bot detection model for each player group.