Papers
A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound
Shusen Wang, Zhihua Zhang
A Simple and Practical Algorithm for Differentially Private Data Release
Moritz Hardt, Katrina Ligett, Frank Mcsherry
A Simple Geometric Interpretation of SVM using Stochastic Adversaries
Roi Livni, Koby Crammer, Amir Globerson
A Spectral Algorithm for Latent Dirichlet Allocation
Anima Anandkumar, Dean P. Foster, Daniel J. Hsu et al.
Assessing Blinding in Clinical Trials
Ognjen Arandjelovic
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models
Mohammad Khan, Shakir Mohamed, Benjamin Marlin et al.
A Stochastic Bandit Algorithm for Scratch Games
Raphaël Féraud, Tanguy Urvoy
A Stochastic Gradient Method with an Exponential Convergence _Rate for Finite Training Sets
Nicolas L. Roux, Mark Schmidt, Francis R. Bach
Asymptotically-optimal Path Planning on Manifolds
Leonard Jaillet, Josep Porta
A systematic approach to extracting semantic information from functional MRI data
Francisco Pereira, Matthew Botvinick
Attribute-Efficient Learning andWeight-Degree Tradeoffs for Polynomial Threshold Functions
Rocco Servedio, Li-Yang Tan, Justin Thaler
A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping
Xiaohui Chen, Xinghua Shi, Xing Xu et al.
Augment-and-Conquer Negative Binomial Processes
Mingyuan Zhou, Lawrence Carin
Augmented-SVM: Automatic space partitioning for combining multiple non-linear dynamics
Ashwini Shukla, Aude Billard
A Unified View of Performance Metrics: Translating Threshold Choice into Expected Classification Loss
José Hernández-Orallo, Peter Flach, Cèsar Ferri
A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes
Thomas Furmston, David Barber
Automatic Feature Induction for Stagewise Collaborative Filtering
Joonseok Lee, Mingxuan Sun, Seungyeon Kim et al.
Autonomous Exploration For Navigating In MDPs
Shiau Hong Lim, Peter Auer
A Variance Minimization Criterion to Active Learning on Graphs
Ming Ji, Jiawei Han
Bandit Algorithms boost Brain Computer Interfaces for motor-task selection of a brain-controlled button
Joan Fruitet, Alexandra Carpentier, Maureen Clerc et al.
Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit
Alexandra Carpentier, Remi Munos
Bayesian active learning with localized priors for fast receptive field characterization
Mijung Park, Jonathan W. Pillow
Bayesian Classifier Combination
Hyun-Chul Kim, Zoubin Ghahramani