Papers
Learning Convolutional Feature Hierarchies for Visual Recognition
Koray Kavukcuoglu, Pierre Sermanet, Y-lan Boureau et al.
Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication
Guy Isely, Christopher Hillar, Fritz Sommer
Practical Large-Scale Optimization for Max-norm Regularization
Jason Lee, Ben Recht, Nathan Srebro et al.
Construction of Dependent Dirichlet Processes based on Poisson Processes
Dahua Lin, Eric Grimson, John W. Fisher
Online Classification with Specificity Constraints
Andrey Bernstein, Shie Mannor, Nahum Shimkin
Minimum Average Cost Clustering
Kiyohito Nagano, Yoshinobu Kawahara, Satoru Iwata
Tight Sample Complexity of Large-Margin Learning
Sivan Sabato, Nathan Srebro, Naftali Tishby
Sphere Embedding: An Application to Part-of-Speech Induction
Yariv Maron, Michael Lamar, Elie Bienenstock
Humans Learn Using Manifolds, Reluctantly
Tim Rogers, Chuck Kalish, Joseph Harrison et al.
Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression
Ling Huang, Jinzhu Jia, Bin Yu et al.
Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach
Alessandro Bergamo, Lorenzo Torresani
Occlusion Detection and Motion Estimation with Convex Optimization
Alper Ayvaci, Michalis Raptis, Stefano Soatto
t-logistic regression
Nan Ding, S.v.n. Vishwanathan
Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings
Ziv Bar-joseph, Hai-son P. Le
Sidestepping Intractable Inference with Structured Ensemble Cascades
David Weiss, Benjamin Sapp, Ben Taskar
A novel family of non-parametric cumulative based divergences for point processes
Sohan Seth, Park Il, Austin Brockmeier et al.
Multivariate Dyadic Regression Trees for Sparse Learning Problems
Han Liu, Xi Chen
A Bayesian Approach to Concept Drift
Stephen Bach, Mark Maloof
Predictive Subspace Learning for Multi-view Data: a Large Margin Approach
Ning Chen, Jun Zhu, Eric P. Xing
Learning Networks of Stochastic Differential Equations
José Pereira, Morteza Ibrahimi, Andrea Montanari
A New Probabilistic Model for Rank Aggregation
Tao Qin, Xiubo Geng, Tie-yan Liu
Heavy-Tailed Process Priors for Selective Shrinkage
Fabian L. Wauthier, Michael I. Jordan
A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups
Sofia Mosci, Silvia Villa, Alessandro Verri et al.
A biologically plausible network for the computation of orientation dominance
Kritika Muralidharan, Nuno Vasconcelos
Sample Complexity of Testing the Manifold Hypothesis
Hariharan Narayanan, Sanjoy Mitter