Papers
Feature Clustering for Accelerating Parallel Coordinate Descent
Chad Scherrer, Ambuj Tewari, Mahantesh Halappanavar et al.
Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression
Piyush Rai, Abhishek Kumar, Hal Daume
Neurally Plausible Reinforcement Learning of Working Memory Tasks
Jaldert Rombouts, Pieter Roelfsema, Sander M. Bohte
Causal discovery with scale-mixture model for spatiotemporal variance dependencies
Zhitang Chen, Kun Zhang, Laiwan Chan
Volume Regularization for Binary Classification
Koby Crammer, Tal Wagner
Efficient Sampling for Bipartite Matching Problems
Maksims Volkovs, Richard S. Zemel
The topographic unsupervised learning of natural sounds in the auditory cortex
Hiroki Terashima, Masato Okada
Parametric Local Metric Learning for Nearest Neighbor Classification
Jun Wang, Alexandros Kalousis, Adam Woznica
Learning from the Wisdom of Crowds by Minimax Entropy
Dengyong Zhou, Sumit Basu, Yi Mao et al.
Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images
Dan Ciresan, Alessandro Giusti, Luca M. Gambardella et al.
Bayesian active learning with localized priors for fast receptive field characterization
Mijung Park, Jonathan W. Pillow
Sparse Approximate Manifolds for Differential Geometric MCMC
Ben Calderhead, Mátyás A. Sustik
Putting Bayes to sleep
Dmitry Adamskiy, Manfred K. Warmuth, Wouter M. Koolen
Non-linear Metric Learning
Dor Kedem, Stephen Tyree, Fei Sha et al.
Bayesian Nonparametric Modeling of Suicide Attempts
Francisco Ruiz, Isabel Valera, Carlos Blanco et al.
Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions
Alexandra Carpentier, Rémi Munos
Nonparanormal Belief Propagation (NPNBP)
Gal Elidan, Cobi Cario
Interpreting prediction markets: a stochastic approach
Rafael M. Frongillo, Nicolas Della Penna, Mark D. Reid
Ancestor Sampling for Particle Gibbs
Fredrik Lindsten, Thomas Schön, Michael I. Jordan
Modelling Reciprocating Relationships with Hawkes Processes
Charles Blundell, Jeff Beck, Katherine A. Heller
Transferring Expectations in Model-based Reinforcement Learning
Trung Nguyen, Tomi Silander, Tze Y. Leong
Convolutional-Recursive Deep Learning for 3D Object Classification
Richard Socher, Brody Huval, Bharath Bath et al.
Fusion with Diffusion for Robust Visual Tracking
Yu Zhou, Xiang Bai, Wenyu Liu et al.
Efficient Monte Carlo Counterfactual Regret Minimization in Games with Many Player Actions
Neil Burch, Marc Lanctot, Duane Szafron et al.
Meta-Gaussian Information Bottleneck
Melanie Rey, Volker Roth