Papers
Using Hyperbolic Cross Approximation to measure and compensate Covariate Shift
Thomas Vanck, Jochen Garcke
Improving Predictive Specificity of Description Logic Learners by Fortification
An Tran, Jens Dietrich, Hans Guesgen et al.
Multilabel Classification through Random Graph Ensembles
Hongyu Su, Juho Rousu
Active Sampling of Pairs and Points for Large-scale Linear Bipartite Ranking
Wei-Yuan Shen, Hsuan-Tien Lin
Aggregating Predictions via Sequential Mini-Trading
Mindika Premachandra, Mark Reid
Coinciding Walk Kernels: Parallel Absorbing Random Walks for Learning with Graphs and Few Labels
Marion Neumann, Roman Garnett, Kristian Kersting
Learning a Metric Space for Neighbourhood Topology Estimation: Application to Manifold Learning
Karim Abou- Moustafa, Dale Schuurmans, Frank Ferrie
Second Order Online Collaborative Filtering
Jing Lu, Steven Hoi, Jialei Wang
Unconfused Ultraconservative Multiclass Algorithms
Ugo Louche, Liva Ralaivola
Generalized Aitchison Embeddings for Histograms
Tam Le, Marco Cuturi
On multi-class classification through the minimization of the confusion matrix norm
Sokol Koço, Cécile Capponi
The Multi-Task Learning View of Multimodal Data
Hachem Kadri, Stephane Ayache, Cécile Capponi et al.
Exploration vs Exploitation vs Safety: Risk-Aware Multi-Armed Bandits
Nicolas Galichet, Michèle Sebag, Olivier Teytaud
Multiclass Latent Locally Linear Support Vector Machines
Marco Fornoni, Barbara Caputo, Francesco Orabona
Q-learning for history-based reinforcement learning
Mayank Daswani, Peter Sunehag, Marcus Hutter
Multi-Label Classification with Unlabeled Data: An Inductive Approach
Le Wu, Min-Ling Zhang
Achievability of Asymptotic Minimax Regret in Online and Batch Prediction
Kazuho Watanabe, Teemu Roos, Petri Myllymäki
Information Retrieval Perspective to Meta-visualization
Jaakko Peltonen, Ziyuan Lin
Predictive Simulation Framework of Stochastic Diffusion Model for Identifying Top-K Influential Nodes
Kouzou Ohara, Kazumi Saito, Masahiro Kimura et al.
Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine
Tu Dinh Nguyen, Truyen Tran, Dinh Phung et al.
Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning
Risheng Liu, Zhouchen Lin, Zhixun Su
Multi-armed Bandit Problem with Lock-up Periods
Junpei Komiyama, Issei Sato, Hiroshi Nakagawa
Novel Boosting Frameworks to Improve the Performance of Collaborative Filtering
Xiaotian Jiang, Zhendong Niu, Jiamin Guo et al.
Accelerated Coordinate Descent with Adaptive Coordinate Frequencies
Tobias Glasmachers, Urun Dogan
Polynomial Runtime Bounds for Fixed-Rank Unsupervised Least-Squares Classification
Fabian Gieseke, Tapio Pahikkala, Christian Igel