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117 Results
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Poster
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Wed 17:00 |
When do Minimax-fair Learning and Empirical Risk Minimization Coincide? Harvineet Singh · Matthäus Kleindessner · Volkan Cevher · Rumi Chunara · Chris Russell |
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Workshop
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Fairness-Preserving Regularizer: Balancing Core and Spurious Features Jiawei Feng · Ancong Wu · YuHan Yao · Wei-Shi Zheng |
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Poster
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Thu 16:30 |
Differential Privacy has Bounded Impact on Fairness in Classification Paul Mangold · Michaël Perrot · Aurélien Bellet · Marc Tommasi |
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Poster
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Thu 13:30 |
Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design Chuan Guo · Kamalika Chaudhuri · Pierre Stock · Michael Rabbat |
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Poster
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Tue 17:00 |
A Two-Stage Active Learning Algorithm for k-Nearest Neighbors Nicholas Rittler · Kamalika Chaudhuri |
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Poster
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Tue 17:00 |
Data-Copying in Generative Models: A Formal Framework Robi Bhattacharjee · Sanjoy Dasgupta · Kamalika Chaudhuri |
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Poster
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Wed 14:00 |
FAIRER: Fairness as Decision Rationale Alignment Li Tianlin · Qing Guo · Aishan Liu · Mengnan Du · Zhiming Li · Yang Liu |
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Poster
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Tue 17:00 |
Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost Marina Knittel · Max Springer · John P Dickerson · MohammadTaghi Hajiaghayi |
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Poster
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Tue 17:00 |
Learning-Rate-Free Learning by D-Adaptation Aaron Defazio · Konstantin Mishchenko |
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Poster
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Wed 14:00 |
Generalized Disparate Impact for Configurable Fairness Solutions in ML Luca Giuliani · Eleonora Misino · Michele Lombardi |
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Poster
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Wed 14:00 |
On the Within-Group Fairness of Screening Classifiers Nastaran Okati · Stratis Tsirtsis · Manuel Gomez-Rodriguez |
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Poster
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Wed 17:00 |
Self-supervised learning of Split Invariant Equivariant representations Quentin Garrido · Laurent Najman · Yann LeCun |