firstbacksecondback
160 Results
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 |