Papers
Learning with Target Prior
Zuoguan Wang, Siwei Lyu, Gerwin Schalk et al.
Continuous Relaxations for Discrete Hamiltonian Monte Carlo
Yichuan Zhang, Zoubin Ghahramani, Amos J. Storkey et al.
Slice Normalized Dynamic Markov Logic Networks
Tivadar Papai, Henry Kautz, Daniel Stefankovic
Exponential Concentration for Mutual Information Estimation with Application to Forests
Han Liu, Larry Wasserman, John D. Lafferty
Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction
Minjie Xu, Jun Zhu, Bo Zhang
The Time-Marginalized Coalescent Prior for Hierarchical Clustering
Levi Boyles, Max Welling
Unsupervised Structure Discovery for Semantic Analysis of Audio
Sourish Chaudhuri, Bhiksha Raj
Sketch-Based Linear Value Function Approximation
Marc Bellemare, Joel Veness, Michael Bowling
A systematic approach to extracting semantic information from functional MRI data
Francisco Pereira, Matthew Botvinick
Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization
Stephen Bach, Matthias Broecheler, Lise Getoor et al.
Effective Split-Merge Monte Carlo Methods for Nonparametric Models of Sequential Data
Michael C Hughes, Emily B. Fox, Erik B. Sudderth
Learning Probability Measures with respect to Optimal Transport Metrics
Guillermo Canas, Lorenzo Rosasco
Stochastic Gradient Descent with Only One Projection
Mehrdad Mahdavi, Tianbao Yang, Rong Jin et al.
ImageNet Classification with Deep Convolutional Neural Networks
Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton
Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions
Mathieu Sinn, Bei Chen
Priors for Diversity in Generative Latent Variable Models
James T. Kwok, Ryan P. Adams
Locally Uniform Comparison Image Descriptor
Andrew Ziegler, Eric Christiansen, David Kriegman et al.
Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction
Christoph H. Lampert
A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling
Pieter-jan Kindermans, Hannes Verschore, David Verstraeten et al.
A Linear Time Active Learning Algorithm for Link Classification
Nicolò Cesa-bianchi, Claudio Gentile, Fabio Vitale et al.
Kernel Latent SVM for Visual Recognition
Weilong Yang, Yang Wang, Arash Vahdat et al.
Approximating Concavely Parameterized Optimization Problems
Joachim Giesen, Jens Mueller, Soeren Laue et al.
Context-Sensitive Decision Forests for Object Detection
Peter Kontschieder, Samuel R. Bulò, Antonio Criminisi et al.
Distributed Probabilistic Learning for Camera Networks with Missing Data
Sejong Yoon, Vladimir Pavlovic