Papers
Screening Sinkhorn Algorithm for Regularized Optimal Transport
Mokhtar Z. Alaya, Maxime Berar, Gilles Gasso et al.
Efficiently Estimating Erdos-Renyi Graphs with Node Differential Privacy
Jonathan Ullman, Adam Sealfon
Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs
Pedro Mercado, Francesco Tudisco, Matthias Hein
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning
Andreas Kirsch, Joost van Amersfoort, Yarin Gal
Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks
Aaron Voelker, Ivana Kajić, Chris Eliasmith
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies
Xue Bin Peng, Michael Chang, Grace Zhang et al.
Dimensionality reduction: theoretical perspective on practical measures
Yair Bartal, Nova Fandina, Ofer Neiman
Causal Confusion in Imitation Learning
Pim de Haan, Dinesh Jayaraman, Sergey Levine
Maximum Mean Discrepancy Gradient Flow
Michael Arbel, Anna Korba, Adil SALIM et al.
Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion
Joan Serrà, Santiago Pascual, Carlos Segura Perales
Bayesian Joint Estimation of Multiple Graphical Models
Lingrui Gan, Xinming Yang, Naveen Narisetty et al.
Smoothing Structured Decomposable Circuits
Andy Shih, Guy Van den Broeck, Paul Beame et al.
Multi-Resolution Weak Supervision for Sequential Data
Paroma Varma, Frederic Sala, Shiori Sagawa et al.
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models
Linfeng Zhang, Zhanhong Tan, Jiebo Song et al.
Are Anchor Points Really Indispensable in Label-Noise Learning?
Xiaobo Xia, Tongliang Liu, Nannan Wang et al.
Connections Between Mirror Descent, Thompson Sampling and the Information Ratio
Julian Zimmert, Tor Lattimore
One-Shot Object Detection with Co-Attention and Co-Excitation
Ting-I Hsieh, Yi-Chen Lo, Hwann-Tzong Chen et al.
Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum
Shreyas Saxena, Oncel Tuzel, Dennis DeCoste
On Robustness of Principal Component Regression
Anish Agarwal, Devavrat Shah, Dennis Shen et al.
Self-Supervised Generalisation with Meta Auxiliary Learning
Shikun Liu, Andrew Davison, Edward Johns
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks
Difan Zou, Ziniu Hu, Yewen Wang et al.
Finding Friend and Foe in Multi-Agent Games
Jack Serrino, Max Kleiman-Weiner, David C. Parkes et al.
Lookahead Optimizer: k steps forward, 1 step back
Michael Zhang, James Lucas, Jimmy Ba et al.
Structured Graph Learning Via Laplacian Spectral Constraints
Sandeep Kumar, Jiaxi Ying, Jose Vinicius de Miranda Cardoso et al.
Regularized Weighted Low Rank Approximation
Frank Ban, David Woodruff, Richard Zhang