Papers
A Competitive Test for Uniformity of Monotone Distributions
Jayadev Acharya, Ashkan Jafarpour, Alon Orlitsky et al.
Active Learning for Interactive Visualization
Tomoharu Iwata, Neil Houlsby, Zoubin Ghahramani
A Last-Step Regression Algorithm for Non-Stationary Online Learning
Edward Moroshko, Koby Crammer
A Parallel, Block Greedy Method for Sparse Inverse Covariance Estimation for Ultra-high Dimensions
Prabhanjan Kambadur, Aurelie Lozano
A recursive estimate for the predictive likelihood in a topic model
James Scott, Jason Baldridge
A simple criterion for controlling selection bias
Eunice Yuh-Jie Chen, Judea Pearl
A simple sketching algorithm for entropy estimation over streaming data
Peter Clifford, Ioana Cosma
A unifying representation for a class of dependent random measures
Nicholas Foti, Joseph Futoma, Daniel Rockmore et al.
Bayesian learning of joint distributions of objects
Anjishnu Banerjee, Jared Murray, David Dunson
Bayesian Structure Learning for Functional Neuroimaging
Mijung Park, Oluwasanmi Koyejo, Joydeep Ghosh et al.
Bethe Bounds and Approximating the Global Optimum
Adrian Weller, Tony Jebara
Beyond Sentiment: The Manifold of Human Emotions
Seungyeon Kim, Fuxin Li, Guy Lebanon et al.
Block Regularized Lasso for Multivariate Multi-Response Linear Regression
Weiguang Wang, Yingbin Liang, Eric Xing
Central Limit Theorems for Conditional Markov Chains
Mathieu Sinn, Bei Chen
Changepoint Detection over Graphs with the Spectral Scan Statistic
James Sharpnack, Aarti Singh, Alessandro Rinaldo
Clustered Support Vector Machines
Quanquan Gu, Jiawei Han
Clustering Oligarchies
Margareta Ackerman, Shai Ben-David, David Loker et al.
Collapsed Variational Bayesian Inference for Hidden Markov Models
Pengyu Wang, Phil Blunsom
Competing with an Infinite Set of Models in Reinforcement Learning
Phuong Nguyen, Odalric-Ambrym Maillard, Daniil Ryabko et al.
Completeness Results for Lifted Variable Elimination
Nima Taghipour, Daan Fierens, Guy Van den Broeck et al.
Computing the M Most Probable Modes of a Graphical Model
Chao Chen, Vladimir Kolmogorov, Yan Zhu et al.
Consensus Ranking with Signed Permutations
Raman Arora, Marina Meilă
Convex Collective Matrix Factorization
Guillaume Bouchard, Dawei Yin, Shengbo Guo
Data-driven covariate selection for nonparametric estimation of causal effects
Doris Entner, Patrik Hoyer, Peter Spirtes
Deep Gaussian Processes
Andreas Damianou, Neil D. Lawrence