Papers
Group Orthogonal Matching Pursuit for Logistic Regression
Aurelie Lozano, Grzegorz Swirszcz, Naoki Abe
Bayesian Hierarchical Cross-Clustering
Dazhuo Li, Patrick Shafto
Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection
Bin Li, Steven C.H. Hoi, Peilin Zhao et al.
Robust Bayesian Matrix Factorisation
Balaji Lakshminarayanan, Guillaume Bouchard, Cedric Archambeau
Approximate inference for the loss-calibrated Bayesian
Simon Lacoste–Julien, Ferenc Huszár, Zoubin Ghahramani
On Time Varying Undirected Graphs
Mladen Kolar, Eric P. Xing
Convex envelopes of complexity controlling penalties: the case against premature envelopment
Vladimir Jojic, Suchi Saria, Daphne Koller
Convergent Decomposition Solvers for Tree-reweighted Free Energies
Jeremy Jancsary, Gerald Matz
On Learning Discrete Graphical Models using Group-Sparse Regularization
Ali Jalali, Pradeep Ravikumar, Vishvas Vasuki et al.
Improved Loss Bounds For Multiple Kernel Learning
Zakria Hussain, John Shawe–Taylor
Fast b-matching via Sufficient Selection Belief Propagation
Bert Huang, Tony Jebara
Optimal Distributed Market-Based Planning for Multi-Agent Systems with Shared Resources
Sue Ann Hong, Geoffrey Gordon
Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks
Qirong Ho, Le Song, Eric Xing
Multiscale Community Blockmodel for Network Exploration
Qirong Ho, Ankur Parikh, Le Song et al.
Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees
Joseph Gonzalez, Yucheng Low, Arthur Gretton et al.
Deep Sparse Rectifier Neural Networks
Xavier Glorot, Antoine Bordes, Yoshua Bengio
Block-sparse Solutions using Kernel Block RIP and its Application to Group Lasso
Rahul Garg, Rohit Khandekar
A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks
James Foulds, Christopher DuBois, Arthur Asuncion et al.
Revisiting MAP Estimation, Message Passing and Perfect Graphs
James Foulds, Nicholas Navaroli, Padhraic Smyth et al.
A novel greedy algorithm for Nyström approximation
Ahmed Farahat, Ali Ghodsi, Mohamed Kamel
Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities
Brian Eriksson, Gautam Dasarathy, Aarti Singh et al.
Optimal and Robust Price Experimentation: Learning by Lottery
Christopher Dance, Onno Zoeter
A Spike and Slab Restricted Boltzmann Machine
Aaron Courville, James Bergstra, Yoshua Bengio