Papers
Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers
Veeranjaneyulu Sadhanala, Yu-Xiang Wang, Ryan J Tibshirani
Adaptive Averaging in Accelerated Descent Dynamics
Walid Krichene, Alexandre Bayen, Peter L Bartlett
Deep ADMM-Net for Compressive Sensing MRI
yan yang, Jian Sun, Huibin Li et al.
Professor Forcing: A New Algorithm for Training Recurrent Networks
Alex M Lamb, Anirudh Goyal ALIAS PARTH GOYAL, Ying Zhang et al.
Efficient Second Order Online Learning by Sketching
Haipeng Luo, Alekh Agarwal, Nicolò Cesa-Bianchi et al.
Higher-Order Factorization Machines
Mathieu Blondel, Akinori Fujino, Naonori Ueda et al.
End-to-End Goal-Driven Web Navigation
Rodrigo Nogueira, Kyunghyun Cho
Learning under uncertainty: a comparison between R-W and Bayesian approach
He Huang, Martin Paulus
MetaGrad: Multiple Learning Rates in Online Learning
Tim van Erven, Wouter M. Koolen
Exponential expressivity in deep neural networks through transient chaos
Ben Poole, Subhaneil Lahiri, Maithra Raghu et al.
Learning Bayesian networks with ancestral constraints
Eunice Yuh-Jie Chen, Yujia Shen, Arthur Choi et al.
Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs
Yu-Xiong Wang, Martial Hebert
Active Nearest-Neighbor Learning in Metric Spaces
Aryeh Kontorovich, Sivan Sabato, Ruth Urner
Improving PAC Exploration Using the Median Of Means
Jason Pazis, Ronald E Parr, Jonathan P How
Learning brain regions via large-scale online structured sparse dictionary learning
Elvis DOHMATOB, Arthur Mensch, Gael Varoquaux et al.
Fast and accurate spike sorting of high-channel count probes with KiloSort
Marius Pachitariu, Nicholas A Steinmetz, Shabnam N Kadir et al.
Supervised Word Mover's Distance
Gao Huang, Chuan Guo, Matt J Kusner et al.
A Communication-Efficient Parallel Algorithm for Decision Tree
Qi Meng, Guolin Ke, Taifeng Wang et al.
Efficient state-space modularization for planning: theory, behavioral and neural signatures
Daniel McNamee, Daniel M. Wolpert, Mate Lengyel
Optimal Architectures in a Solvable Model of Deep Networks
Jonathan Kadmon, Haim Sompolinsky
Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models
Tomoharu Iwata, Makoto Yamada
On Valid Optimal Assignment Kernels and Applications to Graph Classification
Nils M. Kriege, Pierre-Louis Giscard, Richard Wilson
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections
Xiaojiao Mao, Chunhua Shen, Yu-Bin Yang
Measuring the reliability of MCMC inference with bidirectional Monte Carlo
Roger B Grosse, Siddharth Ancha, Daniel M. Roy