Papers
A Stochastic Quasi-Newton Method for Online Convex Optimization
Nicol N. Schraudolph, Jin Yu, Simon Günter
Memory-Effcient Orthogonal Least Squares Kernel Density Estimation using Enhanced Empirical Cumulative Distribution Functions
Martin Schaffoner, Edin Andelic, Marcel Katz et al.
A Latent Space Approach to Dynamic Embedding of Co-occurrence Data
Purnamrita Sarkar, Sajid M. Siddiqi, Geogrey J. Gordon
Learning a Nonlinear Embedding by Preserving Class Neighbourhood Structure
Ruslan Salakhutdinov, Geoff Hinton
Continuous Neural Networks
Nicolas Le Roux, Yoshua Bengio
The Rademacher Complexity of Co-Regularized Kernel Classes
David S. Rosenberg, Peter L. Bartlett
A fast algorithm for learning large scale preference relations
Vikas C. Raykar, Ramani Duraiswami, Balaji Krishnapuram
(Approximate) Subgradient Methods for Structured Prediction
Nathan D. Ratliff, J. Andrew Bagnell, Martin A. Zinkevich
A Unified Energy-Based Framework for Unsupervised Learning
Marc’Aurelio Ranzato, Y-Lan Boureau, Sumit Chopra et al.
Margin based Transductive Graph Cuts using Linear Programming
K. Pelckmans, J. Shawe-Taylor, J.A.K. Suykens et al.
Approximate Counting of Graphical Models Via MCMC
Jose M. Peña
Maximum Entropy Correlated Equilibria
Luis E. Ortiz, Robert E. Schapire, Sham M. Kakade
Inductive Transfer for Bayesian Network Structure Learning
Alexandru Niculescu-Mizil, Rich Caruana
Loop Corrected Belief Propagation
Joris Mooij, Bastian Wemmenhove, Bert Kappen et al.
A Fast Bundle-based Anytime Algorithm for Poker and other Convex Games
H. Brendan McMahan, Geoffrey J. Gordon
AClass: A simple, online, parallelizable algorithm for probabilistic classification
Vikash K. Mansinghka, Daniel M. Roy, Ryan Rifkin et al.
Recall Systems: Effcient Learning and Use of Category Indices
Omid Madani, Wiley Greiner, David Kempe et al.
Sparse Nonparametric Density Estimation in High Dimensions Using the Rodeo
Han Liu, John Lafferty, Larry Wasserman
A Bayesian Divergence Prior for Classiffier Adaptation
Xiao Li, Jeff Bilmes
Efficient active learning with generalized linear models
Jeremy Lewi, Robert Butera, Liam Paninski
Treelets | A Tool for Dimensionality Reduction and Multi-Scale Analysis of Unstructured Data
Ann B. Lee, Boaz Nadler
Learning Nearest-Neighbor Quantizers from Labeled Data by Information Loss Minimization
Svetlana Lazebnik, Maxim Raginsky