Papers
Fair Densities via Boosting the Sufficient Statistics of Exponential Families
Alexander Soen, Hisham Husain, Richard Nock
FAIRER: Fairness as Decision Rationale Alignment
Tianlin Li, Qing Guo, Aishan Liu et al.
Fair Neighbor Embedding
Jaakko Peltonen, Wen Xu, Timo Nummenmaa et al.
Fairness in Matching under Uncertainty
Siddartha Devic, David Kempe, Vatsal Sharan et al.
Fairness in Streaming Submodular Maximization over a Matroid Constraint
Marwa El Halabi, Federico Fusco, Ashkan Norouzi-Fard et al.
Fair yet Asymptotically Equal Collaborative Learning
Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng et al.
FARE: Provably Fair Representation Learning with Practical Certificates
Nikola Jovanović, Mislav Balunovic, Dimitar Iliev Dimitrov et al.
Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning
Hongzuo Xu, Yijie Wang, Juhui Wei et al.
Fast $(1+\varepsilon)$-Approximation Algorithms for Binary Matrix Factorization
Ameya Velingker, Maximilian Vötsch, David Woodruff et al.
Fast Algorithms for Distributed k-Clustering with Outliers
Junyu Huang, Qilong Feng, Ziyun Huang et al.
Fast as CHITA: Neural Network Pruning with Combinatorial Optimization
Riade Benbaki, Wenyu Chen, Xiang Meng et al.
Fast Combinatorial Algorithms for Min Max Correlation Clustering
Sami Davies, Benjamin Moseley, Heather Newman
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
Michael Eli Sander, Joan Puigcerver, Josip Djolonga et al.
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization
Lesi Chen, Jing Xu, Luo Luo
Faster Rates of Convergence to Stationary Points in Differentially Private Optimization
Raman Arora, Raef Bassily, Tomás González et al.
Fast Excess Risk Rates via Offset Rademacher Complexity
Chenguang Duan, Yuling Jiao, Lican Kang et al.
Fast Federated Machine Unlearning with Nonlinear Functional Theory
Tianshi Che, Yang Zhou, Zijie Zhang et al.
Fast Inference from Transformers via Speculative Decoding
Yaniv Leviathan, Matan Kalman, Yossi Matias
Fast Online Node Labeling for Very Large Graphs
Baojian Zhou, Yifan Sun, Reza Babanezhad Harikandeh
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control
Zhen Lin, Shubhendu Trivedi, Cao Xiao et al.
Fast Private Kernel Density Estimation via Locality Sensitive Quantization
Tal Wagner, Yonatan Naamad, Nina Mishra
Fast Rates for Maximum Entropy Exploration
Daniil Tiapkin, Denis Belomestny, Daniele Calandriello et al.
Fast Rates in Time-Varying Strongly Monotone Games
Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
Fast Sampling of Diffusion Models via Operator Learning
Hongkai Zheng, Weili Nie, Arash Vahdat et al.
Featured Graph Coarsening with Similarity Guarantees
Manoj Kumar, Anurag Sharma, Shashwat Saxena et al.