Preface

Geoffrey Holmes, Tie-Yan Liu; PMLR 45:i-xx

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Geometry-Aware Principal Component Analysis for Symmetric Positive Definite Matrices

Inbal Horev, Florian Yger, Masashi Sugiyama; PMLR 45:1-16

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Non-asymptotic Analysis of Compressive Fisher Discriminants in terms of the Effective Dimension

Ata Kaban; PMLR 45:17-32

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Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities

Hiroaki Sasaki, Voot Tangkaratt, Masashi Sugiyama; PMLR 45:33-48

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Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias

Yohei Kondo, Shin-ichi Maeda, Kohei Hayashi; PMLR 45:49-64

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A New Look at Nearest Neighbours: Identifying Benign Input Geometries via Random Projections

Ata Kaban; PMLR 45:65-80

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Consistency of structured output learning with missing labels

Kostiantyn Antoniuk, Vojtech Franc, Vaclav Hlavac; PMLR 45:81-95

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Maximum Margin Partial Label Learning

Fei Yu, Min-Ling Zhang; PMLR 45:96-111

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Robust Multivariate Regression with Grossly Corrupted Observations and Its Application to Personality Prediction

Xiaowei Zhang, Li Cheng, Tingshao Zhu; PMLR 45:112-126

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Data-Guided Approach for Learning and Improving User Experience in Computer Networks

Yanan Bao, Xin Liu, Amit Pande; PMLR 45:127-142

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A Unified Framework for Jointly Learning Distributed Representations of Word and Attributes

Liqiang Niu, Xin-Yu Dai, Shujian Huang, Jiajun Chen; PMLR 45:143-156

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Preference Relation-based Markov Random Fields for Recommender Systems

Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang; PMLR 45:157-172

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Detecting Accounting Frauds in Publicly Traded U.S. Firms: A Machine Learning Approach

Bin Li, Julia Yu, Jie Zhang, Bin Ke; PMLR 45:173-188

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Improving Sybil Detection via Graph Pruning and Regularization Techniques

Huanhuan Zhang, Jie Zhang, Carol Fung, Chang Xu; PMLR 45:189-204

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Proximal Average Approximated Incremental Gradient Method for Composite Penalty Regularized Empirical Risk Minimization

Yiu-ming Cheung, Jian Lou; PMLR 45:205-220

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Class-prior Estimation for Learning from Positive and Unlabeled Data

Marthinus Christoffel, Gang Niu, Masashi Sugiyama; PMLR 45:221-236

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Streaming Variational Inference for Dirichlet Process Mixtures

Viet Huynh, Dinh Phung, Svetha Venkatesh; PMLR 45:237-252

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Expectation Propagation for Rectified Linear Poisson Regression

Young-Jun Ko, Matthias W. Seeger; PMLR 45:253-268

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Curriculum Learning of Bayesian Network Structures

Yanpeng Zhao, Yetian Chen, Kewei Tu, Jin Tian; PMLR 45:269-284

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Continuous Target Shift Adaptation in Supervised Learning

Tuan Duong Nguyen, Marthinus Christoffel, Masashi Sugiyama; PMLR 45:285-300

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Surrogate regret bounds for generalized classification performance metrics

Wojciech Kotlowski, Krzysztof Dembczyński; PMLR 45:301-316

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Budgeted Bandit Problems with Continuous Random Costs

Yingce Xia, Wenkui Ding, Xu-Dong Zhang, Nenghai Yu, Tao Qin; PMLR 45:317-332

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Regularized Policy Gradients: Direct Variance Reduction in Policy Gradient Estimation

Tingting Zhao, Gang Niu, Ning Xie, Jucheng Yang, Masashi Sugiyama; PMLR 45:333-348

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Statistical Unfolded Logic Learning

Wang-Zhou Dai, Zhi-Hua Zhou; PMLR 45:349-361

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Integration of Single-view Graphs with Diffusion of Tensor Product Graphs for Multi-view Spectral Clustering

Le Shu, Longin Jan Latecki; PMLR 45:362-377

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Autoencoder Trees

Ozan İrsoy, Ethem Alpaydin; PMLR 45:378-390

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Similarity-based Contrastive Divergence Methods for Energy-based Deep Learning Models

Adepu Ravi Sankar, Vineeth N Balasubramanian; PMLR 45:391-406

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One-Pass Multi-View Learning

Yue Zhu, Wei Gao, Zhi-Hua Zhou; PMLR 45:407-422

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Largest Source Subset Selection for Instance Transfer

Shuang Zhou, Gijs Schoenmakers, Evgueni Smirnov, Ralf Peeters, Kurt Driessens, Siqi Chen; PMLR 45:423-438

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