Papers
Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms
Yunwen Lei, Urun Dogan, Alexander Binder et al.
Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Prediction
Kisuk Lee, Aleksandar Zlateski, Vishwanathan Ashwin et al.
A Nonconvex Optimization Framework for Low Rank Matrix Estimation
Tuo Zhao, Zhaoran Wang, Han Liu
Information-theoretic lower bounds for convex optimization with erroneous oracles
Yaron Singer, Jan Vondrak
The Self-Normalized Estimator for Counterfactual Learning
Adith Swaminathan, Thorsten Joachims
Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models
Juho Lee, Seungjin Choi
Streaming, Distributed Variational Inference for Bayesian Nonparametrics
Trevor Campbell, Julian Straub, John W. Fisher III et al.
Online Learning for Adversaries with Memory: Price of Past Mistakes
Oren Anava, Elad Hazan, Shie Mannor
Enforcing balance allows local supervised learning in spiking recurrent networks
Ralph Bourdoukan, Sophie Denève
Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces
Takashi Takenouchi, Takafumi Kanamori
Semi-supervised Learning with Ladder Networks
Antti Rasmus, Mathias Berglund, Mikko Honkala et al.
Model-Based Relative Entropy Stochastic Search
Abbas Abdolmaleki, Rudolf Lioutikov, Jan R Peters et al.
Extending Gossip Algorithms to Distributed Estimation of U-statistics
Igor Colin, Aurélien Bellet, Joseph Salmon et al.
Automatic Variational Inference in Stan
Alp Kucukelbir, Rajesh Ranganath, Andrew Gelman et al.
Super-Resolution Off the Grid
Qingqing Huang, Sham M. Kakade
Sparse Local Embeddings for Extreme Multi-label Classification
Kush Bhatia, Himanshu Jain, Purushottam Kar et al.
Planar Ultrametrics for Image Segmentation
Julian E Yarkony, Charless Fowlkes
Precision-Recall-Gain Curves: PR Analysis Done Right
Peter Flach, Meelis Kull
Spatial Transformer Networks
Max Jaderberg, Karen Simonyan, Andrew Zisserman et al.
On-the-Job Learning with Bayesian Decision Theory
Keenon Werling, Arun Tejasvi Chaganty, Percy Liang et al.
Kullback-Leibler Proximal Variational Inference
Mohammad Emtiyaz Khan, Pierre Baque, François Fleuret et al.
Halting in Random Walk Kernels
Mahito Sugiyama, Karsten Borgwardt
Regressive Virtual Metric Learning
Michaël Perrot, Amaury Habrard
Latent Bayesian melding for integrating individual and population models
Mingjun Zhong, Nigel Goddard, Charles Sutton