Papers
Fairness Interventions as (Dis)Incentives for Strategic Manipulation
Xueru Zhang, Mohammad Mahdi Khalili, Kun Jin et al.
Fairness with Adaptive Weights
Junyi Chai, Xiaoqian Wang
Fair Representation Learning through Implicit Path Alignment
Changjian Shui, Qi Chen, Jiaqi Li et al.
Fast and Provable Nonconvex Tensor RPCA
Haiquan Qiu, Yao Wang, Shaojie Tang et al.
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack
Ruize Gao, Jiongxiao Wang, Kaiwen Zhou et al.
Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models
Elvis Nava, John Z Zhang, Mike Yan Michelis et al.
Fast Composite Optimization and Statistical Recovery in Federated Learning
Yajie Bao, Michael Crawshaw, Shan Luo et al.
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions
Aaron Mishkin, Arda Sahiner, Mert Pilanci
Faster Algorithms for Learning Convex Functions
Ali Siahkamari, Durmus Alp Emre Acar, Christopher Liao et al.
Faster Fundamental Graph Algorithms via Learned Predictions
Justin Chen, Sandeep Silwal, Ali Vakilian et al.
Faster Privacy Accounting via Evolving Discretization
Badih Ghazi, Pritish Kamath, Ravi Kumar et al.
Fast Finite Width Neural Tangent Kernel
Roman Novak, Jascha Sohl-Dickstein, Samuel S Schoenholz
Fast Lossless Neural Compression with Integer-Only Discrete Flows
Siyu Wang, Jianfei Chen, Chongxuan Li et al.
Fast Population-Based Reinforcement Learning on a Single Machine
Arthur Flajolet, Claire Bizon Monroc, Karim Beguir et al.
Fast Provably Robust Decision Trees and Boosting
Jun-Qi Guo, Ming-Zhuo Teng, Wei Gao et al.
Fast-Rate PAC-Bayesian Generalization Bounds for Meta-Learning
Jiechao Guan, Zhiwu Lu
Fast rates for noisy interpolation require rethinking the effect of inductive bias
Konstantin Donhauser, Nicolò Ruggeri, Stefan Stojanovic et al.
Fast Relative Entropy Coding with A* coding
Gergely Flamich, Stratis Markou, Jose Miguel Hernandez-Lobato
Fat–Tailed Variational Inference with Anisotropic Tail Adaptive Flows
Feynman Liang, Michael Mahoney, Liam Hodgkinson
Feature and Parameter Selection in Stochastic Linear Bandits
Ahmadreza Moradipari, Berkay Turan, Yasin Abbasi-Yadkori et al.
Feature Learning and Signal Propagation in Deep Neural Networks
Yizhang Lou, Chris E Mingard, Soufiane Hayou
Feature selection using e-values
Subhabrata Majumdar, Snigdhansu Chatterjee
Feature Space Particle Inference for Neural Network Ensembles
Shingo Yashima, Teppei Suzuki, Kohta Ishikawa et al.
Federated Learning with Label Distribution Skew via Logits Calibration
Jie Zhang, Zhiqi Li, Bo Li et al.
Federated Learning with Partial Model Personalization
Krishna Pillutla, Kshitiz Malik, Abdel-Rahman Mohamed et al.