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Poster
Thu 16:30 Explaining Reinforcement Learning with Shapley Values
Daniel Beechey · Thomas M. S. Smith · Özgür Şimşek
Poster
Tue 14:00 Inflow, Outflow, and Reciprocity in Machine Learning
Mukund Sundararajan · Walid Krichene
Poster
Tue 17:00 Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning
Christopher Choquette-Choo · Hugh B McMahan · J K Rush · Abhradeep Guha Thakurta
Invited Talk
Tue 19:00 Machine Learning with Social Purpose
Shakir Mohamed
Poster
Wed 17:00 Forget Unlearning: Towards True Data-Deletion in Machine Learning
Rishav Chourasia · Neil Shah
Oral
Wed 19:48 Inflow, Outflow, and Reciprocity in Machine Learning
Mukund Sundararajan · Walid Krichene
Workshop
Sat 12:00 Duality Principles for Modern Machine Learning
Thomas Moellenhoff · Zelda Mariet · Mathieu Blondel · Khan Emtiyaz
Poster
Thu 16:30 Algorithmic Collective Action in Machine Learning
Moritz Hardt · Eric Mazumdar · Celestine Mendler-Dünner · Tijana Zrnic
Poster
Tue 17:00 Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable
Baoluo Sun · Yifan Cui · Eric Tchetgen Tchetgen
Workshop
An interpretable data augmentation framework for improving generative modeling of synthetic clinical trial data
Afrah Shafquat · Mandis Beigi · Chufan Gao · Jason Mezey · Jimeng Sun · Jacob Aptekar
Poster
Wed 17:00 Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions
Alicia Curth · Alihan Hüyük · Mihaela van der Schaar
Poster
Tue 17:00 Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems
Chawin Sitawarin · Florian Tramer · Nicholas Carlini