Papers
Variational Gaussian Process State-Space Models
Roger Frigola, Yutian Chen, Carl Edward Rasmussen
Spectral k-Support Norm Regularization
Andrew M McDonald, Massimiliano Pontil, Dimitris Stamos
Asynchronous Anytime Sequential Monte Carlo
Brooks Paige, Frank Wood, Arnaud Doucet et al.
Multi-Resolution Cascades for Multiclass Object Detection
Mohammad Saberian, Nuno Vasconcelos
Tree-structured Gaussian Process Approximations
Thang D Bui, Richard E Turner
Efficient learning by implicit exploration in bandit problems with side observations
Tomáš Kocák, Gergely Neu, Michal Valko et al.
Pre-training of Recurrent Neural Networks via Linear Autoencoders
Luca Pasa, Alessandro Sperduti
Rounding-based Moves for Metric Labeling
M. Pawan Kumar
Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data
Florian Stimberg, Andreas Ruttor, Manfred Opper
Structure learning of antiferromagnetic Ising models
Guy Bresler, David Gamarnik, Devavrat Shah
Unsupervised learning of an efficient short-term memory network
Pietro Vertechi, Wieland Brendel, Christian K. Machens
Projective dictionary pair learning for pattern classification
Shuhang Gu, Lei Zhang, Wangmeng Zuo et al.
Projecting Markov Random Field Parameters for Fast Mixing
Xianghang Liu, Justin Domke
Learning on graphs using Orthonormal Representation is Statistically Consistent
Rakesh Shivanna, Chiranjib Bhattacharyya
Automated Variational Inference for Gaussian Process Models
Trung V Nguyen, Edwin V. Bonilla
Distributed Balanced Clustering via Mapping Coresets
Mohammadhossein Bateni, Aditya Bhaskara, Silvio Lattanzi et al.
Sparse Polynomial Learning and Graph Sketching
Murat Kocaoglu, Karthikeyan Shanmugam, Alexandros G Dimakis et al.
Feedback Detection for Live Predictors
Stefan Wager, Nick Chamandy, Omkar Muralidharan et al.
Multivariate f-divergence Estimation With Confidence
Kevin Moon, Alfred Hero
On the relations of LFPs & Neural Spike Trains
David E Carlson, Jana Schaich Borg, Kafui Dzirasa et al.
Coresets for k-Segmentation of Streaming Data
Guy Rosman, Mikhail Volkov, Dan Feldman et al.
Convolutional Kernel Networks
Julien Mairal, Piotr Koniusz, Zaid Harchaoui et al.
Universal Option Models
hengshuai yao, Csaba Szepesvari, Richard S. Sutton et al.
Parallel Sampling of HDPs using Sub-Cluster Splits
Jason Chang, John W. Fisher III
An Accelerated Proximal Coordinate Gradient Method
Qihang Lin, Zhaosong Lu, Lin Xiao