Papers
Learning Stochastic Feedforward Neural Networks
Charlie Tang, Ruslan Salakhutdinov
Information-theoretic lower bounds for distributed statistical estimation with communication constraints
Yuchen Zhang, John Duchi, Michael I Jordan et al.
When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements
Divyanshu Vats, Richard Baraniuk
Locally Adaptive Bayesian Multivariate Time Series
Daniele Durante, Bruno Scarpa, David B Dunson
Memoized Online Variational Inference for Dirichlet Process Mixture Models
Michael C Hughes, Erik Sudderth
Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies
Yangqing Jia, Joshua T. Abbott, Joseph L Austerweil et al.
Rapid Distance-Based Outlier Detection via Sampling
Mahito Sugiyama, Karsten Borgwardt
Recurrent networks of coupled Winner-Take-All oscillators for solving constraint satisfaction problems
Hesham Mostafa, Lorenz. K Mueller, Giacomo Indiveri
Bayesian inference as iterated random functions with applications to sequential inference in graphical models
Arash Amini, Xuanlong Nguyen
Cluster Trees on Manifolds
Sivaraman Balakrishnan, Srivatsan Narayanan, Alessandro Rinaldo et al.
Scoring Workers in Crowdsourcing: How Many Control Questions are Enough?
Qiang Liu, Alex Ihler, Mark Steyvers
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