ACML 2014

25 papers

Reduction from Cost-Sensitive Multiclass Classification to One-versus-One Binary Classification

Hsuan-tien Lin

Ensembles for Time Series Forecasting

Mariana Oliveira, Luís Torgo

Pseudo-reward Algorithms for Contextual Bandits with Linear Payoff Functions

Ku-Chun Chou, Hsuan-tien Lin, Chao-Kai Chiang, Chi-Jen Lu

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, Koji Tsuda

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

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, Vojtěch Franc, Vaclav Hlavac

Sparse binary zero-sum games

David Auger, Jianlin Liu, Sylkvie Ruette, David Saint-Pierre, Oliver Teytaud

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, Mineichi Kudo