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Workshop
An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations
Jonathan Erskine · Raul Santos-Rodriguez · Alexander Hepburn · Matt Clifford
Poster
Tue 17:00 Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems
Chawin Sitawarin · Florian Tramer · Nicholas Carlini
Poster
Wed 17:00 Effectively Using Public Data in Privacy Preserving Machine Learning
Milad Nasresfahani · Saeed Mahloujifar · Xinyu Tang · Prateek Mittal · Amir Houmansadr
Oral
Wed 19:48 Inflow, Outflow, and Reciprocity in Machine Learning
Mukund Sundararajan · Walid Krichene
Poster
Thu 16:30 Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver
Xinyu Ye · Ge Yan · Junchi Yan
Poster
Tue 17:00 Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
Yuxin Tang · Zhimin Ding · Dimitrije Jankov · Binhang Yuan · Daniel Bourgeois · Chris Jermaine
Poster
Thu 16:30 ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines
Siyuan Chen · Pratik Fegade · Tianqi Chen · Phillip Gibbons · Todd Mowry
Poster
Tue 17:00 Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable
Baoluo Sun · Yifan Cui · Eric Tchetgen Tchetgen
Poster
Wed 17:00 Forget Unlearning: Towards True Data-Deletion in Machine Learning
Rishav Chourasia · Neil Shah
Invited Talk
Tue 19:00 Machine Learning with Social Purpose
Shakir Mohamed
Poster
Tue 14:00 Inflow, Outflow, and Reciprocity in Machine Learning
Mukund Sundararajan · Walid Krichene
Poster
Thu 16:30 Algorithmic Collective Action in Machine Learning
Moritz Hardt · Eric Mazumdar · Celestine Mendler-Dünner · Tijana Zrnic