Papers
Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees
L. Elisa Celis, Lingxiao Huang, Vijay Keswani et al.
Fairness and Bias in Online Selection
Jose Correa, Andres Cristi, Paul Duetting et al.
Fairness for Image Generation with Uncertain Sensitive Attributes
Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann et al.
Fairness of Exposure in Stochastic Bandits
Lequn Wang, Yiwei Bai, Wen Sun et al.
Fair Selective Classification Via Sufficiency
Joshua K Lee, Yuheng Bu, Deepta Rajan et al.
Fast active learning for pure exploration in reinforcement learning
Pierre Menard, Omar Darwiche Domingues, Anders Jonsson et al.
Fast Algorithms for Stackelberg Prediction Game with Least Squares Loss
Jiali Wang, He Chen, Rujun Jiang et al.
Faster Kernel Matrix Algebra via Density Estimation
Arturs Backurs, Piotr Indyk, Cameron Musco et al.
Fast margin maximization via dual acceleration
Ziwei Ji, Nathan Srebro, Matus Telgarsky
Fast Projection Onto Convex Smooth Constraints
Ilnura Usmanova, Maryam Kamgarpour, Andreas Krause et al.
Fast Sketching of Polynomial Kernels of Polynomial Degree
Zhao Song, David Woodruff, Zheng Yu et al.
Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction
Radu Alexandru Dragomir, Mathieu Even, Hadrien Hendrikx
f-Domain Adversarial Learning: Theory and Algorithms
David Acuna, Guojun Zhang, Marc T. Law et al.
Feature Clustering for Support Identification in Extreme Regions
Hamid Jalalzai, Rémi Leluc
Federated Composite Optimization
Honglin Yuan, Manzil Zaheer, Sashank Reddi
Federated Continual Learning with Weighted Inter-client Transfer
Jaehong Yoon, Wonyong Jeong, Giwoong Lee et al.
Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity
Zhuoning Yuan, Zhishuai Guo, Yi Xu et al.
Federated Learning of User Verification Models Without Sharing Embeddings
Hossein Hosseini, Hyunsin Park, Sungrack Yun et al.
Federated Learning under Arbitrary Communication Patterns
Dmitrii Avdiukhin, Shiva Kasiviswanathan
Few-Shot Conformal Prediction with Auxiliary Tasks
Adam Fisch, Tal Schuster, Tommi Jaakkola et al.
Few-shot Language Coordination by Modeling Theory of Mind
Hao Zhu, Graham Neubig, Yonatan Bisk
Few-Shot Neural Architecture Search
Yiyang Zhao, Linnan Wang, Yuandong Tian et al.
FILTRA: Rethinking Steerable CNN by Filter Transform
Bo Li, Qili Wang, Gim Hee Lee
Finding k in Latent $k-$ polytope
Chiranjib Bhattacharyya, Ravindran Kannan, Amit Kumar
Finding Relevant Information via a Discrete Fourier Expansion
Mohsen Heidari, Jithin Sreedharan, Gil I Shamir et al.