Papers
Fair and Optimal Decision Trees: A Dynamic Programming Approach
Jacobus van der Linden, Mathijs de Weerdt, Emir Demirović
Fair Bayes-Optimal Classifiers Under Predictive Parity
Xianli Zeng, Edgar Dobriban, Guang Cheng
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting
Prasanna Sattigeri, Soumya Ghosh, Inkit Padhi et al.
Fairness in Federated Learning via Core-Stability
Bhaskar Ray Chaudhury, Linyi Li, Mintong Kang et al.
Fairness Reprogramming
Guanhua Zhang, Yihua Zhang, Yang Zhang et al.
Fairness Transferability Subject to Bounded Distribution Shift
Yatong Chen, Reilly Raab, Jialu Wang et al.
Fairness without Demographics through Knowledge Distillation
Junyi Chai, Taeuk Jang, Xiaoqian Wang
Fair Rank Aggregation
Diptarka Chakraborty, Syamantak Das, Arindam Khan et al.
Fair Ranking with Noisy Protected Attributes
Anay Mehrotra, Nisheeth Vishnoi
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning
Tao Qi, Fangzhao Wu, Chuhan Wu et al.
Fair Wrapping for Black-box Predictions
Alexander Soen, Ibrahim M Alabdulmohsin, Sanmi Koyejo et al.
Falsification before Extrapolation in Causal Effect Estimation
Zeshan M Hussain, Michael Oberst, Ming-Chieh Shih et al.
Fast Algorithms for Packing Proportional Fairness and its Dual
Francisco Criado, David Martinez-Rubio, Sebastian Pokutta
Fast Bayesian Coresets via Subsampling and Quasi-Newton Refinement
Cian Naik, Judith Rousseau, Trevor Campbell
Fast Bayesian Estimation of Point Process Intensity as Function of Covariates
Hideaki Kim, Taichi Asami, Hiroyuki Toda
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
Masaki Adachi, Satoshi Hayakawa, Martin Jørgensen et al.
Fast Distance Oracles for Any Symmetric Norm
Yichuan Deng, Zhao Song, OMRI WEINSTEIN et al.
Faster and Scalable Algorithms for Densest Subgraph and Decomposition
Elfarouk Harb, Kent Quanrud, Chandra Chekuri
Faster Deep Reinforcement Learning with Slower Online Network
Kavosh Asadi, Rasool Fakoor, Omer Gottesman et al.
Faster Linear Algebra for Distance Matrices
Piotr Indyk, Sandeep Silwal
FasterRisk: Fast and Accurate Interpretable Risk Scores
Jiachang Liu, Chudi Zhong, Boxuan Li et al.
Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition
Lesi Chen, Boyuan Yao, Luo Luo
Fast Instrument Learning with Faster Rates
Ziyu Wang, Yuhao Zhou, Jun Zhu
Fast Mixing of Stochastic Gradient Descent with Normalization and Weight Decay
Zhiyuan Li, Tianhao Wang, Dingli Yu