Papers
Bayesian Partitioning of Large-Scale Distance Data
David Adametz, Volker Roth
Neural Reconstruction with Approximate Message Passing (NeuRAMP)
Alyson K. Fletcher, Sundeep Rangan, Lav R. Varshney et al.
Learning Eigenvectors for Free
Wouter M. Koolen, Wojciech Kotlowski, Manfred K. Warmuth
Linear Submodular Bandits and their Application to Diversified Retrieval
Yisong Yue, Carlos Guestrin
Trace Lasso: a trace norm regularization for correlated designs
Edouard Grave, Guillaume R. Obozinski, Francis R. Bach
Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection
Richard Socher, Eric H. Huang, Jeffrey Pennin et al.
Image Parsing with Stochastic Scene Grammar
Yibiao Zhao, Song-chun Zhu
A concave regularization technique for sparse mixture models
Martin O. Larsson, Johan Ugander
Co-regularized Multi-view Spectral Clustering
Abhishek Kumar, Piyush Rai, Hal Daume
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression
Sham M. Kakade, Varun Kanade, Ohad Shamir et al.
Active Classification based on Value of Classifier
Tianshi Gao, Daphne Koller
Approximating Semidefinite Programs in Sublinear Time
Dan Garber, Elad Hazan
Dynamical segmentation of single trials from population neural data
Biljana Petreska, Byron M. Yu, John P. Cunningham et al.
Testing a Bayesian Measure of Representativeness Using a Large Image Database
Joshua T. Abbott, Katherine A. Heller, Zoubin Ghahramani et al.
Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation
Cho-jui Hsieh, Inderjit S. Dhillon, Pradeep K. Ravikumar et al.
Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance
Carsten Rother, Martin Kiefel, Lumin Zhang et al.
Scalable Training of Mixture Models via Coresets
Dan Feldman, Matthew Faulkner, Andreas Krause
Composite Multiclass Losses
Elodie Vernet, Mark D. Reid, Robert C. Williamson
Multiclass Boosting: Theory and Algorithms
Mohammad J. Saberian, Nuno Vasconcelos
Structure Learning for Optimization
Shulin Yang, Ali Rahimi
Automated Refinement of Bayes Networks' Parameters based on Test Ordering Constraints
Omar Z. Khan, Pascal Poupart, John-mark M. Agosta
Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories
Cristina Savin, Peter Dayan, Máté Lengyel
Understanding the Intrinsic Memorability of Images
Phillip Isola, Devi Parikh, Antonio Torralba et al.
A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm
Julie Dethier, Paul Nuyujukian, Chris Eliasmith et al.
Metric Learning with Multiple Kernels
Jun Wang, Huyen T. Do, Adam Woznica et al.