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JMLR Workshop and Conference Proceedings

Volume 29: Asian Conference on Machine Learning

Editors: Ong, Cheng Soon and Ho, Tu Bao

Contents:

Front Matter

Preface

Cheng Soon Ong, Tu Bao Ho ; JMLR W&CP 29 :1-17, 2013

Accepted Papers

Stability of Multi-Task Kernel Regression Algorithms

Julien Audiffren, Hachem Kadri ; JMLR W&CP 29 :1-16, 2013

Random Projections as Regularizers: Learning a Linear Discriminant Ensemble from Fewer Observations than Dimensions

Robert Durrant, Ata Kaban ; JMLR W&CP 29 :17-32, 2013

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 ; JMLR W&CP 29 :33-47, 2013

Linear Approximation to ADMM for MAP inference

Sholeh Forouzan, Alexander Ihler ; JMLR W&CP 29 :48-61, 2013

Polynomial Runtime Bounds for Fixed-Rank Unsupervised Least-Squares Classification

Fabian Gieseke, Tapio Pahikkala, Christian Igel ; JMLR W&CP 29 :62-71, 2013

Accelerated Coordinate Descent with Adaptive Coordinate Frequencies

Tobias Glasmachers, Urun Dogan ; JMLR W&CP 29 :72-86, 2013

Novel Boosting Frameworks to Improve the Performance of Collaborative Filtering

Xiaotian Jiang, Zhendong Niu, Jiamin Guo, Ghulam Mustafa, Zihan Lin, Baomi Chen, Qian Zhou ; JMLR W&CP 29 :87-99, 2013

Multi-armed Bandit Problem with Lock-up Periods

Junpei Komiyama, Issei Sato, Hiroshi Nakagawa ; JMLR W&CP 29 :116-132, 2013

Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning

Risheng Liu, Zhouchen Lin, Zhixun Su ; JMLR W&CP 29 :116-132, 2013

Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine

Tu Dinh Nguyen, Truyen Tran, Dinh Phung, Svetha Venkatesh ; JMLR W&CP 29 :133-148, 2013

Predictive Simulation Framework of Stochastic Diffusion Model for Identifying Top-K Influential Nodes

Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda ; JMLR W&CP 29 :149-164, 2013

Information Retrieval Perspective to Meta-visualization

Jaakko Peltonen, Ziyuan Lin ; JMLR W&CP 29 :165-180, 2013

Achievability of Asymptotic Minimax Regret in Online and Batch Prediction

Kazuho Watanabe, Teemu Roos, Petri Myllymäki ; JMLR W&CP 29 :181-196, 2013

Multi-Label Classification with Unlabeled Data: An Inductive Approach

Le Wu, Min-Ling Zhang ; JMLR W&CP 29 :197-212, 2013

Q-learning for history-based reinforcement learning

Mayank Daswani, Peter Sunehag, Marcus Hutter ; JMLR W&CP 29 :213-228, 2013

Multiclass Latent Locally Linear Support Vector Machines

Marco Fornoni, Barbara Caputo, Francesco Orabona ; JMLR W&CP 29 :229-244, 2013

Exploration vs Exploitation vs Safety: Risk-Aware Multi-Armed Bandits

Nicolas Galichet, Michèle Sebag, Olivier Teytaud ; JMLR W&CP 29 :245-260, 2013

The Multi-Task Learning View of Multimodal Data

Hachem Kadri, Stephane Ayache, Cécile Capponi, Sokol Koço, François-Xavier Dupé, Emilie Morvant ; JMLR W&CP 29 :261-276, 2013

On multi-class classification through the minimization of the confusion matrix norm

Sokol Koço, Cécile Capponi ; JMLR W&CP 29 :277-292, 2013

Generalized Aitchison Embeddings for Histograms

Tam Le, Marco Cuturi ; JMLR W&CP 29 :293-308, 2013

Unconfused Ultraconservative Multiclass Algorithms

Ugo Louche, Liva Ralaivola ; JMLR W&CP 29 :309-324, 2013

Second Order Online Collaborative Filtering

Jing Lu, Steven Hoi, Jialei Wang ; JMLR W&CP 29 :325-340, 2013

Learning a Metric Space for Neighbourhood Topology Estimation: Application to Manifold Learning

Karim Abou- Moustafa, Dale Schuurmans, Frank Ferrie ; JMLR W&CP 29 :341-356, 2013

Coinciding Walk Kernels: Parallel Absorbing Random Walks for Learning with Graphs and Few Labels

Marion Neumann, Roman Garnett, Kristian Kersting ; JMLR W&CP 29 :357-372, 2013

Aggregating Predictions via Sequential Mini-Trading

Mindika Premachandra, Mark Reid ; JMLR W&CP 29 :373-387, 2013

Active Sampling of Pairs and Points for Large-scale Linear Bipartite Ranking

Wei-Yuan Shen, Hsuan-Tien Lin ; JMLR W&CP 29 :388-403, 2013

Multilabel Classification through Random Graph Ensembles

Hongyu Su, Juho Rousu ; JMLR W&CP 29 :404-418, 2013

Improving Predictive Specificity of Description Logic Learners by Fortification

An Tran, Jens Dietrich, Hans Guesgen, Stephen Marsland ; JMLR W&CP 29 :419-434, 2013

Using Hyperbolic Cross Approximation to measure and compensate Covariate Shift

Thomas Vanck, Jochen Garcke ; JMLR W&CP 29 :435-450, 2013

Locally-Linear Learning Machines (L3M)

Joseph Wang, Venkatesh Saligrama ; JMLR W&CP 29 :451-466, 2013

Co-Training with Insufficient Views

Wei Wang, Zhi-Hua Zhou ; JMLR W&CP 29 :467-482, 2013

EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning

Christian Wirth, Johannes Fürnkranz ; JMLR W&CP 29 :483-497, 2013