Workshop
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Fri 9:09
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Don't Waste Data: Transfer Learning to Leverage All Data for Machine-Learnt Climate Model Emulation
Raghul Parthipan · Damon Wischik
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Poster
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Tue 9:00
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Distinguishing Learning Rules with Brain Machine Interfaces
Jacob Portes · Christian Schmid · James M Murray
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Poster
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Thu 14:00
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GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations
Enmao Diao · Jie Ding · Vahid Tarokh
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Poster
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Wed 14:00
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Finding Naturally Occurring Physical Backdoors in Image Datasets
Emily Wenger · Roma Bhattacharjee · Arjun Nitin Bhagoji · Josephine Passananti · Emilio Andere · Heather Zheng · Ben Zhao
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Poster
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Tue 9:00
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Modeling the Machine Learning Multiverse
Samuel J. Bell · Onno Kampman · Jesse Dodge · Neil Lawrence
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Tutorial
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Mon 11:00
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Incentive-Aware Machine Learning: A Tale of Robustness, Fairness, Improvement, and Performativity
Chara Podimata
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Poster
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Tue 9:00
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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
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Poster
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Tue 14:00
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What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment
Nathan Kallus
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Poster
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Tue 14:00
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Accelerating Certified Robustness Training via Knowledge Transfer
Pratik Vaishnavi · Kevin Eykholt · Amir Rahmati
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Poster
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Tue 9:00
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Text Classification with Born's Rule
Emanuele Guidotti · Alfio Ferrara
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Poster
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Wed 9:00
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Optimistic Mirror Descent Either Converges to Nash or to Strong Coarse Correlated Equilibria in Bimatrix Games
Ioannis Anagnostides · Gabriele Farina · Ioannis Panageas · Tuomas Sandholm
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Poster
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Wed 14:00
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Scalable Interpretability via Polynomials
Abhimanyu Dubey · Filip Radenovic · Dhruv Mahajan
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