Papers
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
Deep Learning for Efficient Discriminative Parsing
Ronan Collobert
An Analysis of Single-Layer Networks in Unsupervised Feature Learning
Adam Coates, Andrew Ng, Honglak Lee
Contextual Bandits with Linear Payoff Functions
Wei Chu, Lihong Li, Lev Reyzin et al.
Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models
Edward Challis, David Barber
Switch-Reset Models : Exact and Approximate Inference
Chris Bracegirdle, David Barber
Relative Entropy Inverse Reinforcement Learning
Abdeslam Boularias, Jens Kober, Jan Peters
Domain Adaptation with Coupled Subspaces
John Blitzer, Sham Kakade, Dean Foster
Deep Learners Benefit More from Out-of-Distribution Examples
Yoshua Bengio, Frédéric Bastien, Arnaud Bergeron et al.
Active Diagnosis under Persistent Noise with Unknown Noise Distribution: A Rank-Based Approach
Gowtham Bellala, Suresh Bhavnani, Clayton Scott
Tighter Relaxations for MAP-MRF Inference: A Local Primal-Dual Gap based Separation Algorithm
Dhruv Batra, Sebastian Nowozin, Pushmeet Kohli
Unsupervised Supervised Learning II: Margin-Based Classification without Labels
Krishnakumar Balasubramanian, Pinar Donmez, Guy Lebanon