1.) Statistical Decision Making for Optimal Budget Allocation in Crowd Labeling. --Xi Chen, Qihang Lin, Dengyong Zhou.
2.) Simultaneous Pursuit of Sparseness and Rank Structures for Matrix Decomposition. --Qi Yan, Jieping Ye, Xiaotong Shen.
3.) Statistical Topological Data Analysis using Persistence Landscapes. --Peter Bubenik.
4.) Links Between Multiplicity Automata, Observable Operator Models and Predictive State Representations -- a Unified Learning Framework. --Michael Thon, Herbert Jaeger.
5.) SAMOA: Scalable Advanced Massive Online Analysis. --Gianmarco De Francisci Morales, Albert Bifet.
6.) Online Learning via Sequential Complexities. --Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari.
7.) Learning Transformations for Clustering and Classification. --Qiang Qiu, Guillermo Sapiro.
8.) Multi-layered Gesture Recognition with Kinect. --Feng Jiang, Shengping Zhang, Shen Wu, Yang Gao, Debin Zhao.
9.) Multimodal Gesture Recognition via Multiple Hypotheses Rescoring. --Vassilis Pitsikalis, Athanasios Katsamanis, Stavros Theodorakis, Petros Maragos.
10.) An Asynchronous Parallel Stochastic Coordinate Descent Algorithm. --Ji Liu, Stephen J. Wright, Christopher Ré, Victor Bittorf, Srikrishna Sridhar.
11.) Geometric Intuition and Algorithms for Ev--SVM. --Alvaro Barbero, Akiko Takeda, Jorge López.
12.) Composite Self-Concordant Minimization. --Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher.
13.) Network Granger Causality with Inherent Grouping Structure. --Sumanta Basu, Ali Shojaie, George Michailidis.
14.) Iterative and Active Graph Clustering Using Trace Norm Minimization Without Cluster Size Constraints. --Nir Ailon, Yudong Chen, Huan Xu.
15.) A Classification Module for Genetic Programming Algorithms in JCLEC. --Alberto Cano, José María Luna, Amelia Zafra, Sebastián Ventura.
16.) AD3: Alternating Directions Dual Decomposition for MAP Inference in Graphical Models. --André F. T. Martins, Mário A. T. Figueiredo, Pedro M. Q. Aguiar, Noah A. Smith, Eric P. Xing.
17.) Introducing CURRENNT: The Munich Open-Source CUDA RecurREnt Neural Network Toolkit. --Felix Weninger.
18.) The flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R. --Xingguo Li, Tuo Zhao, Xiaoming Yuan, Han Liu.
19.) Regularized M-estimators with Nonconvexity: Statistical and Algorithmic Theory for Local Optima. --Po-Ling Loh, Martin J. Wainwright.
20.) Generalized Hierarchical Kernel Learning. --Pratik Jawanpuria, Jagarlapudi Saketha Nath, Ganesh Ramakrishnan.