Papers
4,025 papers found
Fair Disaster Containment via Graph-Cut Problems
Michael Dinitz, Aravind Srinivasan, Leonidas Tsepenekas et al.
Fast and accurate optimization on the orthogonal manifold without retraction
Pierre Ablin, Gabriel Peyré
Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes
Hugh Dance, Brooks Paige
Fast Distributionally Robust Learning with Variance-Reduced Min-Max Optimization
Yaodong Yu, Tianyi Lin, Eric V. Mazumdar et al.
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization
Gideon Dresdner, Maria-Luiza Vladarean, Gunnar Rätsch et al.
Faster Rates, Adaptive Algorithms, and Finite-Time Bounds for Linear Composition Optimization and Gradient TD Learning
Anant Raj, Pooria Joulani, Andras Gyorgy et al.
Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity
Junchi Yang, Antonio Orvieto, Aurelien Lucchi et al.
Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe
Thibault Sejourne, Francois-Xavier Vialard, Gabriel Peyré
Fast Fourier Transform Reductions for Bayesian Network Inference
Vincent Hsiao, Dana Nau, Rina Dechter
Fast Rank-1 NMF for Missing Data with KL Divergence
Kazu Ghalamkari, Mahito Sugiyama
Fast Sparse Classification for Generalized Linear and Additive Models
Jiachang Liu, Chudi Zhong, Margo Seltzer et al.
Feature Collapsing for Gaussian Process Variable Ranking
Isaac Sebenius, Topi Paananen, Aki Vehtari
Feature screening with kernel knockoffs
Benjamin Poignard, Peter J. Naylor, Héctor Climente-González et al.
Federated Functional Gradient Boosting
Zebang Shen, Hamed Hassani, Satyen Kale et al.
Federated Learning with Buffered Asynchronous Aggregation
John Nguyen, Kshitiz Malik, Hongyuan Zhan et al.
Federated Myopic Community Detection with One-shot Communication
Chuyang Ke, Jean Honorio
Federated Reinforcement Learning with Environment Heterogeneity
Hao Jin, Yang Peng, Wenhao Yang et al.
Finding Dynamics Preserving Adversarial Winning Tickets
Xupeng Shi, Pengfei Zheng, A. Adam Ding et al.
Finding Nearly Everything within Random Binary Networks
Kartik Sreenivasan, Shashank Rajput, Jy-Yong Sohn et al.
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge
Abhin Shah, Karthikeyan Shanmugam, Kartik Ahuja
Finite Sample Analysis of Mean-Volatility Actor-Critic for Risk-Averse Reinforcement Learning
Khaled Eldowa, Lorenzo Bisi, Marcello Restelli
Firebolt: Weak Supervision Under Weaker Assumptions
Zhaobin Kuang, Chidubem G. Arachie, Bangyong Liang et al.
Fixed Support Tree-Sliced Wasserstein Barycenter
Yuki Takezawa, Ryoma Sato, Zornitsa Kozareva et al.
Flexible Accuracy for Differential Privacy
Aman Bansal, Rahul Chunduru, Deepesh Data et al.
FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning
Elnur Gasanov, Ahmed Khaled, Samuel Horváth et al.