Papers
Structured Learning for Cell Tracking
Xinghua Lou, Fred A. Hamprecht
Learning to Agglomerate Superpixel Hierarchies
Viren Jain, Srinivas C. Turaga, K Briggman et al.
Co-Training for Domain Adaptation
Minmin Chen, Kilian Q. Weinberger, John Blitzer
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization
Mark Schmidt, Nicolas L. Roux, Francis R. Bach
Information Rates and Optimal Decoding in Large Neural Populations
Kamiar R. Rad, Liam Paninski
Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators
Dominique C. Perrault-joncas, Marina Meila
Expressive Power and Approximation Errors of Restricted Boltzmann Machines
Guido F. Montufar, Johannes Rauh, Nihat Ay
Shallow vs. Deep Sum-Product Networks
Olivier Delalleau, Yoshua Bengio
Efficient anomaly detection using bipartite k-NN graphs
Kumar Sricharan, Alfred O. Hero
Inverting Grice's Maxims to Learn Rules from Natural Language Extractions
Mohammad S. Sorower, Janardhan R. Doppa, Walker Orr et al.
Boosting with Maximum Adaptive Sampling
Charles Dubout, Francois Fleuret
t-divergence Based Approximate Inference
Nan Ding, Yuan Qi, S.v.n. Vishwanathan
See the Tree Through the Lines: The Shazoo Algorithm
Fabio Vitale, Nicolò Cesa-bianchi, Claudio Gentile et al.
The Fast Convergence of Boosting
Matus J. Telgarsky
Online Submodular Set Cover, Ranking, and Repeated Active Learning
Andrew Guillory, Jeff A. Bilmes
Finite Time Analysis of Stratified Sampling for Monte Carlo
Alexandra Carpentier, Rémi Munos
Algorithms for Hyper-Parameter Optimization
James S. Bergstra, Rémi Bardenet, Yoshua Bengio et al.
Portmanteau Vocabularies for Multi-Cue Image Representation
Fahad S. Khan, Joost Weijer, Andrew D. Bagdanov et al.
On Tracking The Partition Function
Guillaume Desjardins, Yoshua Bengio, Aaron C. Courville
Analysis and Improvement of Policy Gradient Estimation
Tingting Zhao, Hirotaka Hachiya, Gang Niu et al.
Prismatic Algorithm for Discrete D.C. Programming Problem
Yoshinobu Kawahara, Takashi Washio
Generalised Coupled Tensor Factorisation
Kenan Y. Yılmaz, Ali T. Cemgil, Umut Simsekli
From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models
Skander Mensi, Richard Naud, Wulfram Gerstner
Nonnegative dictionary learning in the exponential noise model for adaptive music signal representation
Onur Dikmen, Cédric Févotte