Papers
A Generative Model for Parts-based Object Segmentation
S. Eslami, Christopher Williams
A Geometric take on Metric Learning
Søren Hauberg, Oren Freifeld, Michael J. Black
A latent factor model for highly multi-relational data
Rodolphe Jenatton, Nicolas L. Roux, Antoine Bordes et al.
A lattice filter model of the visual pathway
Karol Gregor, Dmitri B. Chklovskii
Algorithms for Learning Markov Field Policies
Abdeslam Boularias, Jan R. Peters, Oliver B. Kroemer
A Linear Time Active Learning Algorithm for Link Classification
Nicolò Cesa-bianchi, Claudio Gentile, Fabio Vitale et al.
A Marginalized Particle Gaussian Process Regression
Yali Wang, Brahim Chaib-draa
A mechanistic model of early sensory processing based on subtracting sparse representations
Shaul Druckmann, Tao Hu, Dmitri B. Chklovskii
Analog readout for optical reservoir computers
Anteo Smerieri, François Duport, Yvon Paquot et al.
Analyzing 3D Objects in Cluttered Images
Mohsen Hejrati, Deva Ramanan
Ancestor Sampling for Particle Gibbs
Fredrik Lindsten, Thomas Schön, Michael I. Jordan
A Neural Autoregressive Topic Model
Hugo Larochelle, Stanislas Lauly
Angular Quantization-based Binary Codes for Fast Similarity Search
Yunchao Gong, Sanjiv Kumar, Vishal Verma et al.
An Integer Optimization Approach to Associative Classification
Dimitris Bertsimas, Allison Chang, Cynthia Rudin
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function
Pedro Ortega, Jordi Grau-moya, Tim Genewein et al.
A nonparametric variable clustering model
Konstantina Palla, Zoubin Ghahramani, David A. Knowles
A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling
Pieter-jan Kindermans, Hannes Verschore, David Verstraeten et al.
A Polylog Pivot Steps Simplex Algorithm for Classification
Elad Hazan, Zohar Karnin
A Polynomial-time Form of Robust Regression
Yao-liang Yu, Özlem Aslan, Dale Schuurmans
Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning
Ulugbek Kamilov, Sundeep Rangan, Michael Unser et al.
Approximating Concavely Parameterized Optimization Problems
Joachim Giesen, Jens Mueller, Soeren Laue et al.
Approximating Equilibria in Sequential Auctions with Incomplete Information and Multi-Unit Demand
Amy Greenwald, Jiacui Li, Eric Sodomka
A quasi-Newton proximal splitting method
Stephen Becker, Jalal Fadili
A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound
Shusen Wang, Zhihua Zhang