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Editors: Cheng Soon Ong, Tu Bao Ho
Preface
; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:1-17
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Stability of Multi-Task Kernel Regression Algorithms
Julien Audiffren, Hachem Kadri; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:1-16
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Random Projections as Regularizers: Learning a Linear Discriminant Ensemble from Fewer Observations than Dimensions
Robert Durrant, Ata Kaban; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:17-32
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Guided Monte Carlo Tree Search for Planning in Learned Environments
Jelle Van Eyck, Jan Ramon, Fabian Guiza, Geert MeyFroidt, Maurice Bruynooghe, Greet Van den Berghe; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:33-47
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Linear Approximation to ADMM for MAP inference
Sholeh Forouzan, Alexander Ihler; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:48-61
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Polynomial Runtime Bounds for Fixed-Rank Unsupervised Least-Squares Classification
Fabian Gieseke, Tapio Pahikkala, Christian Igel; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:62-71
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Accelerated Coordinate Descent with Adaptive Coordinate Frequencies
Tobias Glasmachers, Urun Dogan; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:72-86
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Novel Boosting Frameworks to Improve the Performance of Collaborative Filtering
Xiaotian Jiang, Zhendong Niu, Jiamin Guo, Ghulam Mustafa, Zihan Lin, Baomi Chen, Qian Zhou; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:87-99
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Multi-armed Bandit Problem with Lock-up Periods
Junpei Komiyama, Issei Sato, Hiroshi Nakagawa; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:100-115
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Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning
Risheng Liu, Zhouchen Lin, Zhixun Su; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:116-132
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Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine
Tu Dinh Nguyen, Truyen Tran, Dinh Phung, Svetha Venkatesh; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:133-148
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Predictive Simulation Framework of Stochastic Diffusion Model for Identifying Top-K Influential Nodes
Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:149-164
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Information Retrieval Perspective to Meta-visualization
Jaakko Peltonen, Ziyuan Lin; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:165-180
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Achievability of Asymptotic Minimax Regret in Online and Batch Prediction
Kazuho Watanabe, Teemu Roos, Petri Myllymäki; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:181-196
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Multi-Label Classification with Unlabeled Data: An Inductive Approach
Le Wu, Min-Ling Zhang; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:197-212
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Q-learning for history-based reinforcement learning
Mayank Daswani, Peter Sunehag, Marcus Hutter; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:213-228
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Multiclass Latent Locally Linear Support Vector Machines
Marco Fornoni, Barbara Caputo, Francesco Orabona; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:229-244
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Exploration vs Exploitation vs Safety: Risk-Aware Multi-Armed Bandits
Nicolas Galichet, Michèle Sebag, Olivier Teytaud; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:245-260
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The Multi-Task Learning View of Multimodal Data
Hachem Kadri, Stephane Ayache, Cécile Capponi, Sokol Koço, François-Xavier Dupé, Emilie Morvant; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:261-276
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On multi-class classification through the minimization of the confusion matrix norm
Sokol Koço, Cécile Capponi; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:277-292
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Generalized Aitchison Embeddings for Histograms
Tam Le, Marco Cuturi; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:293-308
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Unconfused Ultraconservative Multiclass Algorithms
Ugo Louche, Liva Ralaivola; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:309-324
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Second Order Online Collaborative Filtering
Jing Lu, Steven Hoi, Jialei Wang; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:325-340
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Learning a Metric Space for Neighbourhood Topology Estimation: Application to Manifold Learning
Karim Abou- Moustafa, Dale Schuurmans, Frank Ferrie; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:341-356
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Coinciding Walk Kernels: Parallel Absorbing Random Walks for Learning with Graphs and Few Labels
Marion Neumann, Roman Garnett, Kristian Kersting; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:357-372
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Aggregating Predictions via Sequential Mini-Trading
Mindika Premachandra, Mark Reid; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:373-387
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Active Sampling of Pairs and Points for Large-scale Linear Bipartite Ranking
Wei-Yuan Shen, Hsuan-Tien Lin; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:388-403
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Multilabel Classification through Random Graph Ensembles
Hongyu Su, Juho Rousu; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:404-418
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Improving Predictive Specificity of Description Logic Learners by Fortification
An Tran, Jens Dietrich, Hans Guesgen, Stephen Marsland; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:419-434
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Using Hyperbolic Cross Approximation to measure and compensate Covariate Shift
Thomas Vanck, Jochen Garcke; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:435-450
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Locally-Linear Learning Machines (L3M)
Joseph Wang, Venkatesh Saligrama; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:451-466
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Co-Training with Insufficient Views
Wei Wang, Zhi-Hua Zhou; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:467-482
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EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning
Christian Wirth, Johannes Fürnkranz; Proceedings of the 5th Asian Conference on Machine Learning, PMLR 29:483-497
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