Papers
4,122 papers found
Fairness in Survival Analysis with Distributionally Robust Optimization
Shu Hu, George H. Chen
False discovery proportion envelopes with m-consistency
Meah Iqraa, Blanchard Gilles, Roquain Etienne
Faster Randomized Methods for Orthogonality Constrained Problems
Boris Shustin, Haim Avron
Faster Rates of Differentially Private Stochastic Convex Optimization
Jinyan Su, Lijie Hu, Di Wang
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization
Shicong Cen, Yuting Wei, Yuejie Chi
Fast Rates in Pool-Based Batch Active Learning
Claudio Gentile, Zhilei Wang, Tong Zhang
Fat-Shattering Dimension of k-fold Aggregations
Idan Attias, Aryeh Kontorovich
FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization
José A. Carrillo, Nicolás García Trillos, Sixu Li et al.
Federated Automatic Differentiation
Keith Rush, Zachary Charles, Zachary Garrett
Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms
Nicolás García Trillos, Anna Little, Daniel McKenzie et al.
FineMorphs: Affine-Diffeomorphic Sequences for Regression
Michele Lohr, Laurent Younes
Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits
Junpei Komiyama, Edouard Fouché, Junya Honda
Fisher information dissipation for time-inhomogeneous stochastic differential equations
Qi Feng, Xinzhe Zuo, Wuchen Li
Fixed points of nonnegative neural networks
Tomasz J. Piotrowski, Renato L. G. Cavalcante, Mateusz Gabor
Flexible Bayesian Product Mixture Models for Vector Autoregressions
Suprateek Kundu, Joshua Lukemire
Fortuna: A Library for Uncertainty Quantification in Deep Learning
Gianluca Detommaso, Alberto Gasparin, Michele Donini et al.
Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling
Qidong Yang, Alex Hernandez-Garcia, Paula Harder et al.
Fréchet Random Forests for Metric Space Valued Regression with Non Euclidean Predictors
Louis Capitaine, Jérémie Bigot, Rodolphe Thiébaut et al.
From continuous-time formulations to discretization schemes: tensor trains and robust regression for BSDEs and parabolic PDEs
Lorenz Richter, Leon Sallandt, Nikolas Nüsken
From Small Scales to Large Scales: Distance-to-Measure Density based Geometric Analysis of Complex Data
Katharina Proksch, Christoph Alexander Weikamp, Thomas Staudt et al.
Functional Directed Acyclic Graphs
Kuang-Yao Lee, Lexin Li, Bing Li
Functional optimal transport: regularized map estimation and domain adaptation for functional data
Jiacheng Zhu, Aritra Guha, Dat Do et al.
Functions with average smoothness: structure, algorithms, and learning
Yair Ashlagi, Lee-Ad Gottlieb, Aryeh Kontorovich
Gaussian Interpolation Flows
Yuan Gao, Jian Huang, and Yuling Jiao
Gaussian Mixture Models with Rare Events
Xuetong Li, Jing Zhou, Hansheng Wang