Papers
A Ranking-based KNN Approach for Multi-Label Classification
Tsung-Hsien Chiang, Hung-Yi Lo, Shou-De Lin
A Coupled Indian Buffet Process Model for Collaborative Filtering
Sotirios P. Chatzis
Local Kernel Density Ratio-Based Feature Selection for Outlier Detection
Fatemeh Azmandian, Jennifer G. Dy, Javed A. Aslam et al.
Learning Latent Variable Models by Pairwise Cluster Comparison
Nuaman Asbeh, Boaz Lerner
Multiresolution Mixture Modeling using Merging of Mixture Components
Prem Raj Adhikari, Jaakko Hollmén
A Note on Metric Properties for Some Divergence Measures: The Gaussian Case
Karim T. Abou-Moustafa, Frank P. Ferrie
Weighted Likelihood Policy Search with Model Selection
Tsuyoshi Ueno, Kohei Hayashi, Takashi Washio et al.
Label Ranking with Partial Abstention based on Thresholded Probabilistic Models
Weiwei Cheng, Eyke Hüllermeier, Willem Waegeman et al.
Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging
Chris Hinrichs, Vikas Singh, Jiming Peng et al.
On Lifting the Gibbs Sampling Algorithm
Deepak Venugopal, Vibhav Gogate
Perceptron Learning of SAT
Alex Flint, Matthew Blaschko
Online Regret Bounds for Undiscounted Continuous Reinforcement Learning
Ronald Ortner, Daniil Ryabko
Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes
Jake Bouvrie, Jean-jeacques Slotine
Mandatory Leaf Node Prediction in Hierarchical Multilabel Classification
Wei Bi, James T. Kwok
Near-optimal Differentially Private Principal Components
Kamalika Chaudhuri, Anand Sarwate, Kaushik Sinha
Matrix reconstruction with the local max norm
Rina Foygel, Nathan Srebro, Ruslan Salakhutdinov
Angular Quantization-based Binary Codes for Fast Similarity Search
Yunchao Gong, Sanjiv Kumar, Vishal Verma et al.
Towards a learning-theoretic analysis of spike-timing dependent plasticity
David Balduzzi, Michel Besserve
Learning the Architecture of Sum-Product Networks Using Clustering on Variables
Aaron Dennis, Dan Ventura
Density-Difference Estimation
Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki et al.
Nonparametric Reduced Rank Regression
Rina Foygel, Michael Horrell, Mathias Drton et al.
Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins
Alex Schwing, Tamir Hazan, Marc Pollefeys et al.
Pointwise Tracking the Optimal Regression Function
Yair Wiener, Ran El-Yaniv
Efficient coding provides a direct link between prior and likelihood in perceptual Bayesian inference
Xue-xin Wei, Alan Stocker
Online allocation and homogeneous partitioning for piecewise constant mean-approximation
Alexandra Carpentier, Odalric-ambrym Maillard