Papers
Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries
Zhen J. Xiang, Hao Xu, Peter J. Ramadge
MAP Inference for Bayesian Inverse Reinforcement Learning
Jaedeug Choi, Kee-eung Kim
Data Skeletonization via Reeb Graphs
Xiaoyin Ge, Issam I. Safa, Mikhail Belkin et al.
Budgeted Optimization with Concurrent Stochastic-Duration Experiments
Javad Azimi, Alan Fern, Xiaoli Z. Fern
Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss
Joseph Keshet, David A. McAllester
A Denoising View of Matrix Completion
Weiran Wang, Miguel Á. Carreira-Perpiñán, Zhengdong Lu
Complexity of Inference in Latent Dirichlet Allocation
David Sontag, Dan Roy
RTRMC: A Riemannian trust-region method for low-rank matrix completion
Nicolas Boumal, Pierre-antoine Absil
Dimensionality Reduction Using the Sparse Linear Model
Ioannis A. Gkioulekas, Todd Zickler
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.