Papers
A unified framework for high-dimensional analysis of M-estimators with decomposable regularizers
Sahand Negahban, Bin Yu, Martin J. Wainwright et al.
Estimating image bases for visual image reconstruction from human brain activity
Yusuke Fujiwara, Yoichi Miyawaki, Yukiyasu Kamitani
On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation
Saketha N. Jagarlapudi, Dinesh G, Raman S et al.
Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models
Ryan Mcdonald, Mehryar Mohri, Nathan Silberman et al.
Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models
Jing Gao, Feng Liang, Wei Fan et al.
Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model
Ed Vul, George Alvarez, Joshua B. Tenenbaum et al.
A Smoothed Approximate Linear Program
Vijay Desai, Vivek Farias, Ciamac C. Moallemi
Occlusive Components Analysis
Jörg Lücke, Richard Turner, Maneesh Sahani et al.
Efficient and Accurate Lp-Norm Multiple Kernel Learning
Marius Kloft, Ulf Brefeld, Pavel Laskov et al.
Discrete MDL Predicts in Total Variation
Marcus Hutter
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations
Mingyuan Zhou, Haojun Chen, Lu Ren et al.
Approximating MAP by Compensating for Structural Relaxations
Arthur Choi, Adnan Darwiche
Learning from Neighboring Strokes: Combining Appearance and Context for Multi-Domain Sketch Recognition
Tom Ouyang, Randall Davis
A Biologically Plausible Model for Rapid Natural Scene Identification
Sennay Ghebreab, Steven Scholte, Victor Lamme et al.
Variational Inference for the Nested Chinese Restaurant Process
Chong Wang, David M. Blei
Multi-Step Dyna Planning for Policy Evaluation and Control
Hengshuai Yao, Shalabh Bhatnagar, Dongcui Diao et al.
Unsupervised Feature Selection for the k-means Clustering Problem
Christos Boutsidis, Petros Drineas, Michael W. Mahoney
Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization
John Wright, Arvind Ganesh, Shankar Rao et al.
Nash Equilibria of Static Prediction Games
Michael Brückner, Tobias Scheffer
Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification
Wenming Zheng, Zhouchen Lin
Hierarchical Modeling of Local Image Features through L_p-Nested Symmetric Distributions
Matthias Bethge, Eero P. Simoncelli, Fabian H. Sinz
A joint maximum-entropy model for binary neural population patterns and continuous signals
Sebastian Gerwinn, Philipp Berens, Matthias Bethge
Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing
Ruben Coen-cagli, Peter Dayan, Odelia Schwartz
Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing
Sundeep Rangan, Vivek Goyal, Alyson K. Fletcher