Papers
Variational Gaussian Inference for Bilinear Models of Count Data
Young-Jun Ko, Mohammad Khan
A UCB-Like Strategy of Collaborative Filtering
Atsuyoshi Nakamura
Reinforcement learning with value advice
Mayank Daswani, Peter Sunehag, Marcus Hutter
Ordinal Random Fields for Recommender Systems
Shaowu Liu, Truyen Tran, Gang Li
Online Passive Aggressive Active Learning and Its Applications
Jing Lu, Peilin Zhao, Steven Hoi
Online matrix prediction for sparse loss matrices
Ken-ichiro Moridomi, Kohei Hatano, Eiji Takimoto et al.
Learning with Augmented Multi-Instance View
Yue Zhu, Jianxin Wu, Yuan Jiang et al.
Towards Maximum Likelihood: Learning Undirected Graphical Models using Persistent Sequential Monte Carlo
Hanchen Xiong, Sandor Szedmak, Justus Piater
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.
Syntactic Processing Using Global Discriminative Learning and Beam-Search Decoding
Yue Zhang, Meishan Zhang, Ting Liu
Semantics, Discourse and Statistical Machine Translation
Deyi Xiong, Min Zhang
Structured Belief Propagation for NLP
Matthew Gormley, Jason Eisner