Papers
Multi-Task Learning via Conic Programming
Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama et al.
Multi-task Gaussian Process Prediction
Edwin V. Bonilla, Kian M. Chai, Christopher Williams
Congruence between model and human attention reveals unique signatures of critical visual events
Robert Peters, Laurent Itti
The Distribution Family of Similarity Distances
Gertjan Burghouts, Arnold Smeulders, Jan-mark Geusebroek
People Tracking with the Laplacian Eigenmaps Latent Variable Model
Zhengdong Lu, Cristian Sminchisescu, Miguel Á. Carreira-Perpiñán
Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes
John P. Cunningham, Byron M. Yu, Krishna V. Shenoy et al.
Ultrafast Monte Carlo for Statistical Summations
Charles L. Isbell, Michael P. Holmes, Alexander G. Gray
Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis
Venkat Chandrasekaran, Alan S. Willsky, Jason K. Johnson
Colored Maximum Variance Unfolding
Le Song, Arthur Gretton, Karsten Borgwardt et al.
Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion
J. Z. Kolter, Pieter Abbeel, Andrew Y. Ng
Statistical Analysis of Semi-Supervised Regression
Larry Wasserman, John D. Lafferty
The discriminant center-surround hypothesis for bottom-up saliency
Dashan Gao, Vijay Mahadevan, Nuno Vasconcelos
A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses
Massimiliano Giulioni, Mario Pannunzi, Davide Badoni et al.
Convex Relaxations of Latent Variable Training
Yuhong Guo, Dale Schuurmans
Second Order Bilinear Discriminant Analysis for single trial EEG analysis
Christoforos Christoforou, Paul Sajda, Lucas C. Parra
Sparse deep belief net model for visual area V2
Honglak Lee, Chaitanya Ekanadham, Andrew Y. Ng
Testing for Homogeneity with Kernel Fisher Discriminant Analysis
Moulines Eric, Francis R. Bach, Zaïd Harchaoui
Kernels on Attributed Pointsets with Applications
Mehul Parsana, Sourangshu Bhattacharya, Chiru Bhattacharya et al.
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
Geoffrey E. Hinton, Ruslan Salakhutdinov
The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information
John Langford, Tong Zhang
Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks
Alex Graves, Marcus Liwicki, Horst Bunke et al.
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Sebastian Gerwinn, Matthias Bethge, Jakob H. Macke et al.
SpAM: Sparse Additive Models
Han Liu, Larry Wasserman, John D. Lafferty et al.
Learning Bounds for Domain Adaptation
John Blitzer, Koby Crammer, Alex Kulesza et al.
Convex Clustering with Exemplar-Based Models
Danial Lashkari, Polina Golland