Papers
Nyström Approximation for Large-Scale Determinantal Processes
Raja Hafiz Affandi, Alex Kulesza, Emily Fox et al.
Reconstructing ecological networks with hierarchical Bayesian regression and Mondrian processes
Andrej Aderhold, Dirk Husmeier, V. Anne Smith
Clustering Oligarchies
Margareta Ackerman, Shai Ben-David, David Loker et al.
A Competitive Test for Uniformity of Monotone Distributions
Jayadev Acharya, Ashkan Jafarpour, Alon Orlitsky et al.
Sparse Principal Component Analysis for High Dimensional Multivariate Time Series
Zhaoran Wang, Fang Han, Han Liu
Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods
Zhaoshi Meng, Dennis Wei, Ami Wiesel et al.
Diagonal Orthant Multinomial Probit Models
James Johndrow, David Dunson, Kristian Lum
A unifying representation for a class of dependent random measures
Nicholas Foti, Joseph Futoma, Daniel Rockmore et al.
Permutation estimation and minimax rates of identifiability
Olivier Collier, Arnak Dalalyan
Bayesian learning of joint distributions of objects
Anjishnu Banerjee, Jared Murray, David Dunson
EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning
Christian Wirth, Johannes Fürnkranz
Co-Training with Insufficient Views
Wei Wang, Zhi-Hua Zhou
Locally-Linear Learning Machines (L3M)
Joseph Wang, Venkatesh Saligrama
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.