Papers
Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning
Zhengqing Zhou, Zhengyuan Zhou, Qinxun Bai et al.
Fisher Auto-Encoders
Khalil Elkhalil, Ali Hasan, Jie Ding et al.
Flow-based Alignment Approaches for Probability Measures in Different Spaces
Tam Le, Nhat Ho, Makoto Yamada
Follow Your Star: New Frameworks for Online Stochastic Matching with Known and Unknown Patience
Brian Brubach, Nathaniel Grammel, Will Ma et al.
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings
Qipeng Guo, Zhijing Jin, Ziyu Wang et al.
Foundations of Bayesian Learning from Synthetic Data
Harrison Wilde, Jack Jewson, Sebastian Vollmer et al.
Fourier Bases for Solving Permutation Puzzles
Horace Pan, Risi Kondor
Fractional moment-preserving initialization schemes for training deep neural networks
Mert Gurbuzbalaban, Yuanhan Hu
Free-rider Attacks on Model Aggregation in Federated Learning
Yann Fraboni, Richard Vidal, Marco Lorenzi
Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
Gaming Helps! Learning from Strategic Interactions in Natural Dynamics
Yahav Bechavod, Katrina Ligett, Steven Wu et al.
GANs with Conditional Independence Graphs: On Subadditivity of Probability Divergences
Mucong Ding, Constantinos Daskalakis, Soheil Feizi
Generalization Bounds for Stochastic Saddle Point Problems
Junyu Zhang, Mingyi Hong, Mengdi Wang et al.
Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates
Damien Scieur, Lewis Liu, Thomas Pumir et al.
Generalized Spectral Clustering via Gromov-Wasserstein Learning
Samir Chowdhury, Tom Needham
Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties
Lisa Schut, Oscar Key, Rory Mc Grath et al.
Geometrically Enriched Latent Spaces
Georgios Arvanitidis, Soren Hauberg, Bernhard Schölkopf
Good Classifiers are Abundant in the Interpolating Regime
Ryan Theisen, Jason Klusowski, Michael Mahoney
Goodness-of-Fit Test for Mismatched Self-Exciting Processes
Song Wei, Shixiang Zhu, Minghe Zhang et al.
Gradient Descent in RKHS with Importance Labeling
Tomoya Murata, Taiji Suzuki
Graph Community Detection from Coarse Measurements: Recovery Conditions for the Coarsened Weighted Stochastic Block Model
Nafiseh Ghoroghchian, Gautam Dasarathy, Stark Draper
Graph Gamma Process Linear Dynamical Systems
Rahi Kalantari, Mingyuan Zhou
Graphical Normalizing Flows
Antoine Wehenkel, Gilles Louppe
Group testing for connected communities
Pavlos Nikolopoulos, Sundara Rajan Srinivasavaradhan, Tao Guo et al.