Papers
ExactBoost: Directly Boosting the Margin in Combinatorial and Non-decomposable Metrics
Daniel Csillag, Carolina Piazza, Thiago Ramos et al.
Exact Community Recovery over Signed Graphs
Xiaolu Wang, Peng Wang, Anthony Man-Cho So
Exploiting Correlation to Achieve Faster Learning Rates in Low-Rank Preference Bandits
Aadirupa Saha, Suprovat Ghoshal
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis
Martin Pawelczyk, Chirag Agarwal, Shalmali Joshi et al.
Exploring Image Regions Not Well Encoded by an INN
Zenan Ling, Fan Zhou, Meng Wei et al.
Expressivity of Neural Networks via Chaotic Itineraries beyond Sharkovsky’s Theorem
Clayton H. Sanford, Vaggos Chatziafratis
Extragradient Method: O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity
Eduard Gorbunov, Nicolas Loizou, Gauthier Gidel
Factorization Approach for Low-complexity Matrix Completion Problems: Exponential Number of Spurious Solutions and Failure of Gradient Methods
Baturalp Yalçın, Haixiang Zhang, Javad Lavaei et al.
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.