Papers
Understanding the Representation and Computation of Multilayer Perceptrons: A Case Study in Speech Recognition
Tasha Nagamine, Nima Mesgarani
Uniform Convergence Rates for Kernel Density Estimation
Heinrich Jiang
Uniform Deviation Bounds for k-Means Clustering
Olivier Bachem, Mario Lucic, S. Hamed Hassani et al.
Unimodal Probability Distributions for Deep Ordinal Classification
Christopher Beckham, Christopher Pal
Unsupervised Learning by Predicting Noise
Piotr Bojanowski, Armand Joulin
Variants of RMSProp and Adagrad with Logarithmic Regret Bounds
Mahesh Chandra Mukkamala, Matthias Hein
Variational Boosting: Iteratively Refining Posterior Approximations
Andrew C. Miller, Nicholas J. Foti, Ryan P. Adams
Variational Dropout Sparsifies Deep Neural Networks
Dmitry Molchanov, Arsenii Ashukha, Dmitry Vetrov
Variational Inference for Sparse and Undirected Models
John Ingraham, Debora Marks
Variational Policy for Guiding Point Processes
Yichen Wang, Grady Williams, Evangelos Theodorou et al.
Video Pixel Networks
Nal Kalchbrenner, Aäron Oord, Karen Simonyan et al.
Warped Convolutions: Efficient Invariance to Spatial Transformations
João F. Henriques, Andrea Vedaldi
Wasserstein Generative Adversarial Networks
Martin Arjovsky, Soumith Chintala, Léon Bottou
When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, $\ell_2$-consistency and Neuroscience Applications
Hao Henry Zhou, Yilin Zhang, Vamsi K. Ithapu et al.
Why is Posterior Sampling Better than Optimism for Reinforcement Learning?
Ian Osband, Benjamin Van Roy
World of Bits: An Open-Domain Platform for Web-Based Agents
Tianlin Shi, Andrej Karpathy, Linxi Fan et al.
Zero-Inflated Exponential Family Embeddings
Li-Ping Liu, David M. Blei
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning
Junhyuk Oh, Satinder Singh, Honglak Lee et al.
ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning
Hantian Zhang, Jerry Li, Kaan Kara et al.
Zonotope Hit-and-run for Efficient Sampling from Projection DPPs
Guillaume Gautier, Rémi Bardenet, Michal Valko
A Box-Constrained Approach for Hard Permutation Problems
Cong Han Lim, Steve Wright
A Comparative Analysis and Study of Multiview CNN Models for Joint Object Categorization and Pose Estimation
Mohamed Elhoseiny, Tarek El-Gaaly, Amr Bakry et al.
A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery
Ian En-Hsu Yen, Xin Lin, Jiong Zhang et al.