Papers
Flexible Martingale Priors for Deep Hierarchies
Jacob Steinhardt, Zoubin Ghahramani
Testing for Membership to the IFRA and the NBU Classes of Distributions
Radhendushka Srivastava, Ping Li, Debasis Sengupta
Consistency and Rates for Clustering with DBSCAN
Bharath Sriperumbudur, Ingo Steinwart
On Nonparametric Guidance for Learning Autoencoder Representations
Jasper Snoek, Ryan Adams, Hugo Larochelle
Low rank continuous-space graphical models
Carl Smith, Frank Wood, Liam Paninski
On Bisubmodular Maximization
Ajit Singh, Andrew Guillory, Jeff Bilmes
Multi-armed Bandit Problems with History
Pannagadatta Shivaswamy, Thorsten Joachims
Complexity of Bethe Approximation
Jinwoo Shin
Sparsistency of the Edge Lasso over Graphs
James Sharpnack, Aarti Singh, Alessandro Rinaldo
Using More Data to Speed-up Training Time
Shai Shalev-Shwartz, Ohad Shamir, Eran Tromer
Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models
Matthias Seeger, Guillaume Bouchard
Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data
Martin Schiegg, Marion Neumann, Kristian Kersting
Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression
Simo Sarkka, Jouni Hartikainen
Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks
Avneesh Saluja, Priya Krishnan Sundararajan, Ole J Mengshoel
Local Anomaly Detection
Venkatesh Saligrama, Manqi Zhao
Domain Adaptation: A Small Sample Statistical Approach
Ruslan Salakhutdinov, Sham Kakade, Dean Foster
Exploiting Unrelated Tasks in Multi-Task Learning
Bernardino Romera Paredes, Andreas Argyriou, Nadia Berthouze et al.
Universal Measurement Bounds for Structured Sparse Signal Recovery
Nikhil Rao, Ben Recht, Robert Nowak
A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification
Arun Rajkumar, Shivani Agarwal
Deep Learning Made Easier by Linear Transformations in Perceptrons
Tapani Raiko, Harri Valpola, Yann Lecun
Nonparametric Estimation of Conditional Information and Divergences
Barnabas Poczos, Jeff Schneider
Informative Priors for Markov Blanket Discovery
Adam Pocock, Mikel Lujan, Gavin Brown
Fast interior-point inference in high-dimensional sparse, penalized state-space models
Eftychios Pnevmatikakis, Liam Paninski
Learning Low-order Models for Enforcing High-order Statistics
Patrick Pletscher, Pushmeet Kohli