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Volume 45: Asian Conference on Machine Learning, 20-22 November 2015, Hong Kong
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Editors: Geoffrey Holmes, Tie-Yan Liu
Preface
Accepted Papers
Geometry-Aware Principal Component Analysis for Symmetric Positive Definite Matrices
PMLR 45:1-16
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Non-asymptotic Analysis of Compressive Fisher Discriminants in terms of the Effective Dimension
PMLR 45:17-32
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Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities
PMLR 45:33-48
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Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias
PMLR 45:49-64
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A New Look at Nearest Neighbours: Identifying Benign Input Geometries via Random Projections
PMLR 45:65-80
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Robust Multivariate Regression with Grossly Corrupted Observations and Its Application to Personality Prediction
PMLR 45:112-126
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Data-Guided Approach for Learning and Improving User Experience in Computer Networks
PMLR 45:127-142
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A Unified Framework for Jointly Learning Distributed Representations of Word and Attributes
PMLR 45:143-156
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Preference Relation-based Markov Random Fields for Recommender Systems
PMLR 45:157-172
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Detecting Accounting Frauds in Publicly Traded U.S. Firms: A Machine Learning Approach
PMLR 45:173-188
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Improving Sybil Detection via Graph Pruning and Regularization Techniques
PMLR 45:189-204
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Proximal Average Approximated Incremental Gradient Method for Composite Penalty Regularized Empirical Risk Minimization
PMLR 45:205-220
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Class-prior Estimation for Learning from Positive and Unlabeled Data
PMLR 45:221-236
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Streaming Variational Inference for Dirichlet Process Mixtures
PMLR 45:237-252
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Expectation Propagation for Rectified Linear Poisson Regression
PMLR 45:253-268
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Surrogate regret bounds for generalized classification performance metrics
PMLR 45:301-316
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Regularized Policy Gradients: Direct Variance Reduction in Policy Gradient Estimation
PMLR 45:333-348
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Integration of Single-view Graphs with Diffusion of Tensor Product Graphs for Multi-view Spectral Clustering
PMLR 45:362-377
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Similarity-based Contrastive Divergence Methods for Energy-based Deep Learning Models
PMLR 45:391-406
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