Papers
Online Learning Of Neural Computations From Sparse Temporal Feedback
Lukas Braun, Tim Vogels
Online Market Equilibrium with Application to Fair Division
Yuan Gao, Alex Peysakhovich, Christian Kroer
Online Matching in Sparse Random Graphs: Non-Asymptotic Performances of Greedy Algorithm
Nathan Noiry, Vianney Perchet, Flore Sentenac
Online Meta-Learning via Learning with Layer-Distributed Memory
Sudarshan Babu, Pedro Savarese, Michael Maire
Online Multi-Armed Bandits with Adaptive Inference
Maria Dimakopoulou, Zhimei Ren, Zhengyuan Zhou
Online Robust Reinforcement Learning with Model Uncertainty
Yue Wang, Shaofeng Zou
Online Selective Classification with Limited Feedback
Aditya Gangrade, Anil Kag, Ashok Cutkosky et al.
Online Sign Identification: Minimization of the Number of Errors in Thresholding Bandits
Reda Ouhamma, Rémy Degenne, Pierre Gaillard et al.
Online Variational Filtering and Parameter Learning
Andrew Campbell, Yuyang Shi, Thomas Rainforth et al.
On Locality of Local Explanation Models
Sahra Ghalebikesabi, Lucile Ter-Minassian, Karla DiazOrdaz et al.
Only Train Once: A One-Shot Neural Network Training And Pruning Framework
Tianyi Chen, Bo Ji, Tianyu Ding et al.
On Margin-Based Cluster Recovery with Oracle Queries
Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi et al.
On Memorization in Probabilistic Deep Generative Models
Gerrit van den Burg, Chris Williams
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation
Tai-Yu Pan, Cheng Zhang, Yandong Li et al.
On Optimal Interpolation in Linear Regression
Eduard Oravkin, Patrick Rebeschini
On Path Integration of Grid Cells: Group Representation and Isotropic Scaling
Ruiqi Gao, Jianwen Xie, Xue-Xin Wei et al.
On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations
Tim G. J. Rudner, Cong Lu, Michael A Osborne et al.
On Plasticity, Invariance, and Mutually Frozen Weights in Sequential Task Learning
Julian Zilly, Alessandro Achille, Andrea Censi et al.
On Provable Benefits of Depth in Training Graph Convolutional Networks
Weilin Cong, Morteza Ramezani, Mehrdad Mahdavi
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry
Andi Han, Bamdev Mishra, Pratik Kumar Jawanpuria et al.
On Robust Optimal Transport: Computational Complexity and Barycenter Computation
Khang Le, Huy Nguyen, Quang M Nguyen et al.
On sensitivity of meta-learning to support data
Mayank Agarwal, Mikhail Yurochkin, Yuekai Sun
On Success and Simplicity: A Second Look at Transferable Targeted Attacks
Zhengyu Zhao, Zhuoran Liu, Martha Larson
On the Algorithmic Stability of Adversarial Training
Yue Xing, Qifan Song, Guang Cheng