Papers
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.
The Perturbed Variation
Maayan Harel, Shie Mannor
The representer theorem for Hilbert spaces: a necessary and sufficient condition
Francesco Dinuzzo, Bernhard Schölkopf
The Time-Marginalized Coalescent Prior for Hierarchical Clustering
Levi Boyles, Max Welling
The topographic unsupervised learning of natural sounds in the auditory cortex
Hiroki Terashima, Masato Okada
The variational hierarchical EM algorithm for clustering hidden Markov models
Emanuele Coviello, Gert R. Lanckriet, Antoni B. Chan
Tight Bounds on Profile Redundancy and Distinguishability
Jayadev Acharya, Hirakendu Das, Alon Orlitsky
Timely Object Recognition
Sergey Karayev, Tobias Baumgartner, Mario Fritz et al.