Abstract is missing.
- Geometry-Aware Principal Component Analysis for Symmetric Positive Definite MatricesInbal Horev, Florian Yger, Masashi Sugiyama. 1-16 [doi]
- PrefaceGeoffrey Holmes, Tie-Yan Liu. 7 [doi]
- Non-asymptotic Analysis of Compressive Fisher Discriminants in terms of the Effective DimensionAta Kaban. 17-32 [doi]
- Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional DensitiesHiroaki Sasaki, Voot Tangkaratt, Masashi Sugiyama. 33-48 [doi]
- Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage BiasYohei Kondo, Shin-ichi Maeda, Kohei Hayashi. 49-64 [doi]
- A New Look at Nearest Neighbours: Identifying Benign Input Geometries via Random ProjectionsAta Kaban. 65-80 [doi]
- Consistency of structured output learning with missing labelsKostiantyn Antoniuk, Vojtech Franc, Václav Hlavác. 81-95 [doi]
- Maximum Margin Partial Label LearningFei Yu, Min-Ling Zhang. 96-111 [doi]
- Robust Multivariate Regression with Grossly Corrupted Observations and Its Application to Personality PredictionXiaowei Zhang, Li Cheng, Tingshao Zhu. 112-126 [doi]
- Data-Guided Approach for Learning and Improving User Experience in Computer NetworksYanan Bao, Xin Liu, Amit Pande. 127-142 [doi]
- A Unified Framework for Jointly Learning Distributed Representations of Word and AttributesLiqiang Niu, Xin-Yu Dai, Shujian Huang, Jiajun Chen. 143-156 [doi]
- Preference Relation-based Markov Random Fields for Recommender SystemsShaowu Liu, Gang Li, Truyen Tran, Yuan Jiang. 157-172 [doi]
- Detecting Accounting Frauds in Publicly Traded U.S. Firms: A Machine Learning ApproachBin Li, Julia Yu, Jie Zhang 0002, Bin Ke. 173-188 [doi]
- Improving Sybil Detection via Graph Pruning and Regularization TechniquesHuanhuan Zhang, Jie Zhang 0002, Carol J. Fung, Chang Xu. 189-204 [doi]
- Proximal Average Approximated Incremental Gradient Method for Composite Penalty Regularized Empirical Risk MinimizationYiu-ming Cheung, Jian Lou. 205-220 [doi]
- Class-prior Estimation for Learning from Positive and Unlabeled DataMarthinus Christoffel du Plessis, Gang Niu, Masashi Sugiyama. 221-236 [doi]
- Streaming Variational Inference for Dirichlet Process MixturesViet Huynh, Dinh Q. Phung, Svetha Venkatesh. 237-252 [doi]
- Expectation Propagation for Rectified Linear Poisson RegressionYoung Jun Ko, Matthias W. Seeger. 253-268 [doi]
- Curriculum Learning of Bayesian Network StructuresYanpeng Zhao, Yetian Chen, Kewei Tu, Jin Tian. 269-284 [doi]
- Continuous Target Shift Adaptation in Supervised LearningTuan Duong Nguyen, Marthinus Christoffel du Plessis, Masashi Sugiyama. 285-300 [doi]
- Surrogate regret bounds for generalized classification performance metricsWojciech Kotlowski, Krzysztof Dembczynski. 301-316 [doi]
- Budgeted Bandit Problems with Continuous Random CostsYingce Xia, Wenkui Ding, Xu-Dong Zhang, Nenghai Yu, Tao Qin. 317-332 [doi]
- Regularized Policy Gradients: Direct Variance Reduction in Policy Gradient EstimationTingting Zhao, Gang Niu, Ning Xie 0003, Jucheng Yang, Masashi Sugiyama. 333-348 [doi]
- Statistical Unfolded Logic LearningWang-Zhou Dai, Zhi-Hua Zhou. 349-361 [doi]
- Integration of Single-view Graphs with Diffusion of Tensor Product Graphs for Multi-view Spectral ClusteringLe Shu, Longin Jan Latecki. 362-377 [doi]
- Autoencoder TreesOzan Irsoy, Ethem Alpaydin. 378-390 [doi]
- Similarity-based Contrastive Divergence Methods for Energy-based Deep Learning ModelsAdepu Ravi Sankar, Vineeth N. Balasubramanian. 391-406 [doi]
- One-Pass Multi-View LearningYue Zhu, Wei Gao, Zhi-Hua Zhou. 407-422 [doi]
- Largest Source Subset Selection for Instance TransferShuang Zhou, Gijs Schoenmakers, Evgueni N. Smirnov, Ralf Peeters, Kurt Driessens, Siqi Chen. 423-438 [doi]