Papers
Familywise Error Rate Control by Interactive Unmasking
Boyan Duan, Aaditya Ramdas, Larry Wasserman
Fast Adaptation to New Environments via Policy-Dynamics Value Functions
Roberta Raileanu, Max Goldstein, Arthur Szlam et al.
Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations
Robert Mattila, Cristian Rojas, Eric Moulines et al.
Fast and Private Submodular and $k$-Submodular Functions Maximization with Matroid Constraints
Akbar Rafiey, Yuichi Yoshida
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods
Daniel Fu, Mayee Chen, Frederic Sala et al.
Fast computation of Nash Equilibria in Imperfect Information Games
Remi Munos, Julien Perolat, Jean-Baptiste Lespiau et al.
Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance
Yasutoshi Ida, Sekitoshi Kanai, Yasuhiro Fujiwara et al.
Fast Differentiable Sorting and Ranking
Mathieu Blondel, Olivier Teboul, Quentin Berthet et al.
Faster Graph Embeddings via Coarsening
Matthew Fahrbach, Gramoz Goranci, Richard Peng et al.
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case
Shuai Zhang, Meng Wang, Sijia Liu et al.
Fast OSCAR and OWL Regression via Safe Screening Rules
Runxue Bao, Bin Gu, Heng Huang
Feature-map-level Online Adversarial Knowledge Distillation
Inseop Chung, Seonguk Park, Jangho Kim et al.
Feature Noise Induces Loss Discrepancy Across Groups
Fereshte Khani, Percy Liang
Feature Quantization Improves GAN Training
Yang Zhao, Chunyuan Li, Ping Yu et al.
Feature Selection using Stochastic Gates
Yutaro Yamada, Ofir Lindenbaum, Sahand Negahban et al.
FedBoost: A Communication-Efficient Algorithm for Federated Learning
Jenny Hamer, Mehryar Mohri, Ananda Theertha Suresh
Federated Learning with Only Positive Labels
Felix Yu, Ankit Singh Rawat, Aditya Menon et al.
FetchSGD: Communication-Efficient Federated Learning with Sketching
Daniel Rothchild, Ashwinee Panda, Enayat Ullah et al.
Few-shot Domain Adaptation by Causal Mechanism Transfer
Takeshi Teshima, Issei Sato, Masashi Sugiyama
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs
Meng Qu, Tianyu Gao, Louis-Pascal Xhonneux et al.
Fiduciary Bandits
Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown et al.
Fiedler Regularization: Learning Neural Networks with Graph Sparsity
Edric Tam, David Dunson
Finding trainable sparse networks through Neural Tangent Transfer
Tianlin Liu, Friedemann Zenke
Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent
Yunwen Lei, Yiming Ying
Finite-Time Convergence in Continuous-Time Optimization
Orlando Romero, Mouhacine Benosman