Abstract is missing.
- Online matrix prediction for sparse loss matricesKen-ichiro Moridomi, Kohei Hatano, Eiji Takimoto, Koji Tsuda. [doi]
- Efficient Sample Mining for Object DetectionOlivier Canévet, François Fleuret. [doi]
- Dual online inference for latent Dirichlet allocationKhoat Than, Tung Doan. [doi]
- Variational Gaussian Inference for Bilinear Models of Count DataYoung Jun Ko, Mohammad Emtiyaz Khan. [doi]
- A Fast Hierarchical Alternating Least Squares Algorithm for Orthogonal Nonnegative Matrix FactorizationKeigo Kimura, Yuzuru Tanaka, Mineichi Kudo. [doi]
- Sparsity on Statistical Simplexes and Diversity in Social RankingKe Sun, Hisham Mohamed, Stéphane Marchand-Maillet. [doi]
- Structured Denoising Autoencoder for Fault Detection and AnalysisTakaaki Tagawa, Yukihiro Tadokoro, Takehisa Yairi. [doi]
- Sparse binary zero-sum gamesDavid Auger, Jialin Liu, Sylvie Ruette, David Lupien St-Pierre, Olivier Teytaud. [doi]
- PrefaceDinh Phung, Hang Li. [doi]
- Ordinal Random Fields for Recommender SystemsShaowu Liu, Truyen Tran, Gang Li. [doi]
- Online Passive Aggressive Active Learning and Its ApplicationsJing Lu, Peilin Zhao, Steven C. H. Hoi. [doi]
- Towards Maximum Likelihood: Learning Undirected Graphical Models using Persistent Sequential Monte CarloHanchen Xiong, Sándor Szedmák, Justus H. Piater. [doi]
- Nonlinear Dimensionality Reduction of Data by Deep Distributed Random SamplingsXiao-lei Zhang. [doi]
- A UCB-Like Strategy of Collaborative FilteringAtsuyoshi Nakamura. [doi]
- Reduction from Cost-Sensitive Multiclass Classification to One-versus-One Binary ClassificationHsuan-Tien Lin. [doi]
- Ensembles for Time Series ForecastingMariana Oliveira, Luis Torgo. [doi]
- Pseudo-reward Algorithms for Contextual Bandits with Linear Payoff FunctionsKu-Chun Chou, Hsuan-Tien Lin, Chao-Kai Chiang, Chi-Jen Lu. [doi]
- Sample Distillation for Object Detection and Image ClassificationOlivier Canévet, Leonidas Lefakis, François Fleuret. [doi]
- Interval Insensitive Loss for Ordinal ClassificationKostiantyn Antoniuk, Vojtech Franc, Václav Hlavác. [doi]
- Support vector machines with indefinite kernelsIbrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang. [doi]
- Theoretical Analyses on Ensemble and Multiple Kernel RegressorsAkira Tanaka, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo. [doi]
- Quasi Newton Temporal Difference LearningArash Givchi, Maziar Palhang. [doi]
- Reinforcement learning with value adviceMayank Daswani, Peter Sunehag, Marcus Hutter. [doi]
- Learning with Augmented Multi-Instance ViewYue Zhu, Jianxin Wu, Yuan Jiang, Zhi-Hua Zhou. [doi]
- Bibliographic Analysis with the Citation Network Topic ModelKar Wai Lim, Wray L. Buntine. [doi]
- Polya-gamma augmentations for factor modelsArto Klami. [doi]