Papers
Large-scale SVD and Manifold Learning
Ameet Talwalkar, Sanjiv Kumar, Mehryar Mohri et al.
Algorithms and Hardness Results for Parallel Large Margin Learning
Philip M. Long, Rocco A. Servedio
Stationary-Sparse Causality Network Learning
Yuejia He, Yiyuan She, Dapeng Wu
Experiment Selection for Causal Discovery
Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer
Multi-Stage Multi-Task Feature Learning
Pinghua Gong, Jieping Ye, Changshui Zhang
Parallel Vector Field Embedding
Binbin Lin, Xiaofei He, Chiyuan Zhang et al.
A Near-Optimal Algorithm for Differentially-Private Principal Components
Kamalika Chaudhuri, Anand D. Sarwate, Kaushik Sinha
The CAM Software for Nonnegative Blind Source Separation in R-Java
Niya Wang, Fan Meng, Li Chen et al.
Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models
Manfred Opper, Ulrich Paquet, Ole Winther
Belief Propagation for Continuous State Spaces: Stochastic Message-Passing with Quantitative Guarantees
Nima Noorshams, Martin J. Wainwright
BudgetedSVM: A Toolbox for Scalable SVM Approximations
Nemanja Djuric, Liang Lan, Slobodan Vucetic et al.
Optimally Fuzzy Temporal Memory
Karthik H. Shankar, Marc W. Howard
Sparse/Robust Estimation and Kalman Smoothing with Nonsmooth Log-Concave Densities: Modeling, Computation, and Theory
Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto
Maximum Volume Clustering: A New Discriminative Clustering Approach
Gang Niu, Bo Dai, Lin Shang et al.
Keep It Simple And Sparse: Real-Time Action Recognition
Sean Ryan Fanello, Ilaria Gori, Giorgio Metta et al.
Efficient Active Learning of Halfspaces: An Aggressive Approach
Alon Gonen, Sivan Sabato, Shai Shalev-Shwartz
One-shot Learning Gesture Recognition from RGB-D Data Using Bag of Features
Jun Wan, Qiuqi Ruan, Wei Li et al.
Learning Bilinear Model for Matching Queries and Documents
Wei Wu, Zhengdong Lu, Hang Li
Greedy Feature Selection for Subspace Clustering
Eva L. Dyer, Aswin C. Sankaranarayanan, Richard G. Baraniuk
Supervised Feature Selection in Graphs with Path Coding Penalties and Network Flows
Julien Mairal, Bin Yu
On the Mutual Nearest Neighbors Estimate in Regression
Arnaud Guyader, Nick Hengartner
Tapkee: An Efficient Dimension Reduction Library
Sergey Lisitsyn, Christian Widmer, Fernando J. Iglesias Garcia