Papers
On Flat versus Hierarchical Classification in Large-Scale Taxonomies
Rohit Babbar, Ioannis Partalas, Eric Gaussier et al.
Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition
Tzu-Kuo Huang, Jeff Schneider
Summary Statistics for Partitionings and Feature Allocations
Isik B Fidaner, Taylan Cemgil
Point Based Value Iteration with Optimal Belief Compression for Dec-POMDPs
Liam C MacDermed, Charles L Isbell
The Fast Convergence of Incremental PCA
Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund
(Nearly) Optimal Algorithms for Private Online Learning in Full-information and Bandit Settings
Abhradeep Guha Thakurta, Adam Smith
Generalized Random Utility Models with Multiple Types
Hossein Azari Soufiani, Hansheng Diao, Zhenyu Lai et al.
Relevance Topic Model for Unstructured Social Group Activity Recognition
Fang Zhao, Yongzhen Huang, Liang Wang et al.
Modeling Clutter Perception using Parametric Proto-object Partitioning
Chen-Ping Yu, Wen-Yu Hua, Dimitris Samaras et al.
Neural representation of action sequences: how far can a simple snippet-matching model take us?
Cheston Tan, Jedediah M Singer, Thomas Serre et al.
Speeding up Permutation Testing in Neuroimaging
Chris Hinrichs, Vamsi K Ithapu, Qinyuan Sun et al.
DESPOT: Online POMDP Planning with Regularization
Adhiraj Somani, Nan Ye, David Hsu et al.
A New Convex Relaxation for Tensor Completion
Bernardino Romera-Paredes, Massimiliano Pontil
Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions
Rishabh K Iyer, Stefanie Jegelka, Jeff A. Bilmes
Learning Chordal Markov Networks by Constraint Satisfaction
Jukka Corander, Tomi Janhunen, Jussi Rintanen et al.
Learning Trajectory Preferences for Manipulators via Iterative Improvement
Ashesh Jain, Brian Wojcik, Thorsten Joachims et al.
Non-Linear Domain Adaptation with Boosting
Carlos J Becker, Christos M Christoudias, Pascal Fua
On the Sample Complexity of Subspace Learning
Alessandro Rudi, Guillermo D Canas, Lorenzo Rosasco
Context-sensitive active sensing in humans
Sheeraz Ahmad, He Huang, Angela J. Yu
Parallel Sampling of DP Mixture Models using Sub-Cluster Splits
Jason Chang, John W. Fisher III
Efficient Exploration and Value Function Generalization in Deterministic Systems
Zheng Wen, Benjamin Van Roy
On Algorithms for Sparse Multi-factor NMF
Siwei Lyu, Xin Wang
More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server
Qirong Ho, James Cipar, Henggang Cui et al.
Stochastic blockmodel approximation of a graphon: Theory and consistent estimation
Edoardo M. Airoldi, Thiago B Costa, Stanley H Chan
Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models
Adel Javanmard, Andrea Montanari