Accepted papers
Towards Efficient Machine Unlearning via Incremental View Maintenance Sebastian Schelter (University of Amsterdam)
Competition over data: when does data purchase benefit users? Yongchan Kwon (Columbia University); Tony Ginart (Stanford University); James Zou (Stanford University)
Have the Cake and Eat It Too? Higher Accuracy and Less Expense when Using Multi-label ML APIs Online Lingjiao Chen (Stanford University); James Zou (Stanford University); Matei Zaharia (Stanford and Databricks)
DuckDQ: Data Quality Assertions for Machine Learning Pipelines Till Doehmen (Fraunhofer FIT); Mark Raasveldt (CWI); Hannes Mühleisen (Centrum Wiskunde & Informatica); Sebastian Schelter (University of Amsterdam)
Who is Responsible for Adversarial Defense? Kishor Datta Gupta (University of Memphis); Dipankar Dasgupta (University of Memphis)
MLDemon: Deployment Monitoring for Machine Learning Systems Tony Ginart (Stanford University)*; Martin Jinye Zhang (Harvard School of Public Health); James Zou (Stanford University)