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Workshop
Fri 9:09 Don't Waste Data: Transfer Learning to Leverage All Data for Machine-Learnt Climate Model Emulation
Raghul Parthipan · Damon Wischik
Poster
Tue 9:00 Distinguishing Learning Rules with Brain Machine Interfaces
Jacob Portes · Christian Schmid · James M Murray
Poster
Thu 14:00 GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations
Enmao Diao · Jie Ding · Vahid Tarokh
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 Modeling the Machine Learning Multiverse
Samuel J. Bell · Onno Kampman · Jesse Dodge · Neil Lawrence
Tutorial
Mon 11:00 Incentive-Aware Machine Learning: A Tale of Robustness, Fairness, Improvement, and Performativity
Chara Podimata
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 What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment
Nathan Kallus
Poster
Tue 14:00 Accelerating Certified Robustness Training via Knowledge Transfer
Pratik Vaishnavi · Kevin Eykholt · Amir Rahmati
Poster
Tue 9:00 Text Classification with Born's Rule
Emanuele Guidotti · Alfio Ferrara
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
Poster
Wed 14:00 Scalable Interpretability via Polynomials
Abhimanyu Dubey · Filip Radenovic · Dhruv Mahajan