Papers
Interval Insensitive Loss for Ordinal Classification
Kostiantyn Antoniuk, Vojtech Franc, Vaclav Hlavac
Sparse binary zero-sum games
David Auger, Jianlin Liu, Sylkvie Ruette et al.
Quasi Newton Temporal Difference Learning
Arash Givchi, Maziar Palhang
Bibliographic Analysis with the Citation Network Topic Model
Kar Wai Lim, Wray Buntine
A Fast Hierarchical Alternating Least Squares Algorithm for Orthogonal Nonnegative Matrix Factorization
Keigo Kimura, Yuzuru Tanaka, Mineichi Kudo
Polya-gamma augmentations for factor models
Arto Klami
Structured Denoising Autoencoder for Fault Detection and Analysis
Takaaki Tagawa, Yukihiro Tadokoro, Takehisa Yairi
Dual online inference for latent Dirichlet allocation
Khoat Than, Tung Doan
Sample Distillation for Object Detection and Image Classification
Olivier Canevet, Leonidas Lefakis, Francois Fleuret
Efficient Sample Mining for Object Detection
Olivier Canevet, Francois Fleuret
Support vector machines with indefinite kernels
Ibrahim Alabdulmohsin, Xin Gao, Xiangliang Zhang Zhang
Sparsity on Statistical Simplexes and Diversity in Social Ranking
Ke Sun, Hisham Mohamed, Stephane Marchand-Maillet
Theoretical Analyses on Ensemble and Multiple Kernel Regressors
Akira Tanaka, Ichigaku Takigawa, Hideyuki Imai et al.
Deep Fragment Embeddings for Bidirectional Image Sentence Mapping
Andrej Karpathy, Armand Joulin, Li F Fei-Fei
Learning Chordal Markov Networks by Dynamic Programming
Kustaa Kangas, Mikko Koivisto, Teppo Niinimäki
Discriminative Unsupervised Feature Learning with Convolutional Neural Networks
Alexey Dosovitskiy, Jost Tobias Springenberg, Martin Riedmiller et al.
Message Passing Inference for Large Scale Graphical Models with High Order Potentials
Jian Zhang, Alex Schwing, Raquel Urtasun
On the Number of Linear Regions of Deep Neural Networks
Guido F. Montufar, Razvan Pascanu, Kyunghyun Cho et al.
Probabilistic ODE Solvers with Runge-Kutta Means
Michael Schober, David K. Duvenaud, Philipp Hennig
Discriminative Metric Learning by Neighborhood Gerrymandering
Shubhendu Trivedi, David Mcallester, Greg Shakhnarovich
Global Sensitivity Analysis for MAP Inference in Graphical Models
Jasper De Bock, Cassio P de Campos, Alessandro Antonucci
Best-Arm Identification in Linear Bandits
Marta Soare, Alessandro Lazaric, Remi Munos
Generalized Dantzig Selector: Application to the k-support norm
Soumyadeep Chatterjee, Sheng Chen, Arindam Banerjee
Shape and Illumination from Shading using the Generic Viewpoint Assumption
Daniel Zoran, Dilip Krishnan, José Bento et al.
Factoring Variations in Natural Images with Deep Gaussian Mixture Models
Aaron van den Oord, Benjamin Schrauwen