Papers
Self-Routing Capsule Networks
Taeyoung Hahn, Myeongjang Pyeon, Gunhee Kim
On the number of variables to use in principal component regression
Ji Xu, Daniel J. Hsu
On Differentially Private Graph Sparsification and Applications
Raman Arora, Jalaj Upadhyay
Sampled Softmax with Random Fourier Features
Ankit Singh Rawat, Jiecao Chen, Felix Xinnan X Yu et al.
Hierarchical Optimal Transport for Multimodal Distribution Alignment
John Lee, Max Dabagia, Eva Dyer et al.
Pseudo-Extended Markov chain Monte Carlo
Christopher Nemeth, Fredrik Lindsten, Maurizio Filippone et al.
Finite-Time Performance Bounds and Adaptive Learning Rate Selection for Two Time-Scale Reinforcement Learning
Harsh Gupta, R. Srikant, Lei Ying
Rates of Convergence for Large-scale Nearest Neighbor Classification
Xingye Qiao, Jiexin Duan, Guang Cheng
Surfing: Iterative Optimization Over Incrementally Trained Deep Networks
Ganlin Song, Zhou Fan, John Lafferty
Certifiable Robustness to Graph Perturbations
Aleksandar Bojchevski, Stephan Günnemann
Graph-based Discriminators: Sample Complexity and Expressiveness
Roi Livni, Yishay Mansour
Fast structure learning with modular regularization
Greg Ver Steeg, Hrayr Harutyunyan, Daniel Moyer et al.
Untangling in Invariant Speech Recognition
Cory Stephenson, Jenelle Feather, Suchismita Padhy et al.
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck
Maximilian Igl, Kamil Ciosek, Yingzhen Li et al.
Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion
Yiqi Zhong, Cho-Ying Wu, Suya You et al.
Adversarial Examples Are Not Bugs, They Are Features
Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras et al.
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
Muhan Zhang, Shali Jiang, Zhicheng Cui et al.
Margin-Based Generalization Lower Bounds for Boosted Classifiers
Allan Grønlund, Lior Kamma, Kasper Green Larsen et al.
Using Statistics to Automate Stochastic Optimization
Hunter Lang, Lin Xiao, Pengchuan Zhang
Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model
Guodong Zhang, Lala Li, Zachary Nado et al.
Online-Within-Online Meta-Learning
Giulia Denevi, Dimitris Stamos, Carlo Ciliberto et al.
A New Perspective on Pool-Based Active Classification and False-Discovery Control
Lalit Jain, Kevin G. Jamieson
A Flexible Generative Framework for Graph-based Semi-supervised Learning
Jiaqi Ma, Weijing Tang, Ji Zhu et al.