ACML 2014

25 papers

A Fast Hierarchical Alternating Least Squares Algorithm for Orthogonal Nonnegative Matrix Factorization Keigo Kimura, Yuzuru Tanaka, Mineichi Kudo

A UCB-like Strategy of Collaborative Filtering Atsuyoshi Nakamura

Bibliographic Analysis with the Citation Network Topic Model Kar Wai Lim, Wray Buntine

Dual Online Inference for Latent Dirichlet Allocation Khoat Than, Tung Doan

Efficient Sample Mining for Object Detection Olivier Canevet, Francois Fleuret

Ensembles for Time Series Forecasting Mariana Oliveira, Luis Torgo

Interval Insensitive Loss for Ordinal Classification Kostiantyn Antoniuk, Vojtech Franc, Vaclav Hlavac

Learning with Augmented Multi-Instance View Yue Zhu, Jianxin Wu, Yuan Jiang, Zhi-Hua Zhou

Nonlinear Dimensionality Reduction of Data by Deep Distributed Random Samplings Xiao-Lei Zhang

Online Matrix Prediction for Sparse Loss Matrices Ken-ichiro Moridomi, Kohei Hatano, Eiji Takimoto, Koji Tsuda

Online Passive Aggressive Active Learning and Its Applications Jing Lu, Peilin Zhao, Steven Hoi

Ordinal Random Fields for Recommender Systems Shaowu Liu, Truyen Tran, Gang Li

Polya-Gamma Augmentations for Factor Models Arto Klami

Pseudo-Reward Algorithms for Contextual Bandits with Linear Payoff Functions Ku-Chun Chou, Hsuan-Tien Lin, Chao-Kai Chiang, Chi-Jen Lu

Quasi Newton Temporal Difference Learning Arash Givchi, Maziar Palhang

Reduction from Cost-Sensitive Multiclass Classification to One-Versus-One Binary Classification Hsuan-Tien Lin

Reinforcement Learning with Value Advice Mayank Daswani, Peter Sunehag, Marcus Hutter

Sample Distillation for Object Detection and Image Classification Olivier Canevet, Leonidas Lefakis, Francois Fleuret

Sparse Binary Zero-Sum Games David Auger, Jianlin Liu, Sylkvie Ruette, David Saint-Pierre, Oliver Teytaud

Sparsity on Statistical Simplexes and Diversity in Social Ranking Ke Sun, Hisham Mohamed, Stephane Marchand-Maillet

Structured Denoising Autoencoder for Fault Detection and Analysis Takaaki Tagawa, Yukihiro Tadokoro, Takehisa Yairi

Support Vector Machines with Indefinite Kernels Ibrahim Alabdulmohsin, Xin Gao, Xiangliang Zhang Zhang

Theoretical Analyses on Ensemble and Multiple Kernel Regressors Akira Tanaka, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo

Towards Maximum Likelihood: Learning Undirected Graphical Models Using Persistent Sequential Monte Carlo Hanchen Xiong, Sandor Szedmak, Justus Piater

Variational Gaussian Inference for Bilinear Models of Count Data Young-Jun Ko, Mohammad Khan