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Poster
Tue 9:00 Distinguishing Learning Rules with Brain Machine Interfaces
Jacob Portes · Christian Schmid · James M Murray
Poster
Tue 9:00 Modeling the Machine Learning Multiverse
Samuel J. Bell · Onno Kampman · Jesse Dodge · Neil Lawrence
Poster
Wed 14:00 Finding Naturally Occurring Physical Backdoors in Image Datasets
Emily Wenger · Roma Bhattacharjee · Arjun Nitin Bhagoji · Josephine Passananti · Emilio Andere · Heather Zheng · Ben Zhao
Poster
Tue 9:00 Convexity Certificates from Hessians
Julien Klaus · Niklas Merk · Konstantin Wiedom · Sören Laue · Joachim Giesen
Poster
Wed 9:00 On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
Dennis Wei · Rahul Nair · Amit Dhurandhar · Kush Varshney · Elizabeth Daly · Moninder Singh
Tutorial
Mon 11:00 Incentive-Aware Machine Learning: A Tale of Robustness, Fairness, Improvement, and Performativity
Chara Podimata
Poster
Wed 9:00 Neural Basis Models for Interpretability
Filip Radenovic · Abhimanyu Dubey · Dhruv Mahajan
Poster
Thu 14:00 Black-box coreset variational inference
Dionysis Manousakas · Hippolyt Ritter · Theofanis Karaletsos
Poster
Tue 9:00 Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning
Jiachen T. Wang · Saeed Mahloujifar · Shouda Wang · Ruoxi Jia · Prateek Mittal
Poster
Tue 14:00 Accelerating Certified Robustness Training via Knowledge Transfer
Pratik Vaishnavi · Kevin Eykholt · Amir Rahmati
Poster
Wed 9:00 Optimistic Mirror Descent Either Converges to Nash or to Strong Coarse Correlated Equilibria in Bimatrix Games
Ioannis Anagnostides · Gabriele Farina · Ioannis Panageas · Tuomas Sandholm
Tutorial
Mon 14:00 Creative Culture and Machine Learning
Negar Rostamzadeh · Cheng-Zhi Anna Huang · Mark Riedl