Papers
Slice Normalized Dynamic Markov Logic Networks
Tivadar Papai, Henry Kautz, Daniel Stefankovic
Slice sampling normalized kernel-weighted completely random measure mixture models
Nicholas Foti, Sinead Williamson
Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models
Ke Jiang, Brian Kulis, Michael I. Jordan
Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation
Tuo Zhao, Kathryn Roeder, Han Liu
Sparse Approximate Manifolds for Differential Geometric MCMC
Ben Calderhead, Mátyás A. Sustik
Sparse Prediction with the $k$-Support Norm
Andreas Argyriou, Rina Foygel, Nathan Srebro
Spectral Learning of General Weighted Automata via Constrained Matrix Completion
Borja Balle, Mehryar Mohri
Spectral learning of linear dynamics from generalised-linear observations with application to neural population data
Lars Buesing, Jakob H. Macke, Maneesh Sahani
Spiking and saturating dendrites differentially expand single neuron computation capacity
Romain Cazé, Mark Humphries, Boris S. Gutkin
Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space
Yanyan Lan, Jiafeng Guo, Xueqi Cheng et al.
Stochastic Gradient Descent with Only One Projection
Mehrdad Mahdavi, Tianbao Yang, Rong Jin et al.
Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions
Alekh Agarwal, Sahand Negahban, Martin J. Wainwright
Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making
Pradeep Shenoy, Angela J. Yu
Structured Learning of Gaussian Graphical Models
Karthik Mohan, Mike Chung, Seungyeop Han et al.
Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses
Po-ling Loh, Martin J. Wainwright
Submodular-Bregman and the Lovász-Bregman Divergences with Applications
Rishabh Iyer, Jeff A. Bilmes
Super-Bit Locality-Sensitive Hashing
Jianqiu Ji, Jianmin Li, Shuicheng Yan et al.
Supervised Learning with Similarity Functions
Purushottam Kar, Prateek Jain
Symbolic Dynamic Programming for Continuous State and Observation POMDPs
Zahra Zamani, Scott Sanner, Pascal Poupart et al.
Symmetric Correspondence Topic Models for Multilingual Text Analysis
Kosuke Fukumasu, Koji Eguchi, Eric P. Xing
Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes
Jake Bouvrie, Jean-jeacques Slotine
Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs
Michael Collins, Shay B. Cohen
The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes
Simon Lyons, Amos J. Storkey, Simo Särkkä
The Lovász ϑ function, SVMs and finding large dense subgraphs
Vinay Jethava, Anders Martinsson, Chiranjib Bhattacharyya et al.