Papers
Bregman Alternating Direction Method of Multipliers
Huahua Wang, Arindam Banerjee
A Safe Screening Rule for Sparse Logistic Regression
Jie Wang, Jiayu Zhou, Jun Liu et al.
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions
José Miguel Hernández-Lobato, Matthew W Hoffman, Zoubin Ghahramani
Stochastic variational inference for hidden Markov models
Nicholas Foti, Jason Xu, Dillon Laird et al.
Parallel Double Greedy Submodular Maximization
Xinghao Pan, Stefanie Jegelka, Joseph E Gonzalez et al.
Concavity of reweighted Kikuchi approximation
Po-Ling Loh, Andre Wibisono
A Bayesian model for identifying hierarchically organised states in neural population activity
Patrick Putzky, Florian Franzen, Giacomo Bassetto et al.
Making Pairwise Binary Graphical Models Attractive
Nicholas Ruozzi, Tony Jebara
Design Principles of the Hippocampal Cognitive Map
Kimberly L Stachenfeld, Matthew Botvinick, Samuel J Gershman
Fast Sampling-Based Inference in Balanced Neuronal Networks
Guillaume Hennequin, Laurence Aitchison, Mate Lengyel
Diverse Sequential Subset Selection for Supervised Video Summarization
Boqing Gong, Wei-Lun Chao, Kristen Grauman et al.
Tight Continuous Relaxation of the Balanced k-Cut Problem
Syama Sundar Rangapuram, Pramod Kaushik Mudrakarta, Matthias Hein
Learning the Learning Rate for Prediction with Expert Advice
Wouter M. Koolen, Tim van Erven, Peter Grünwald
A Unified Semantic Embedding: Relating Taxonomies and Attributes
Sung Ju Hwang, Leonid Sigal
Efficient Partial Monitoring with Prior Information
Hastagiri P Vanchinathan, Gábor Bartók, Andreas Krause
Optimizing F-Measures by Cost-Sensitive Classification
Shameem Puthiya Parambath, Nicolas Usunier, Yves Grandvalet
Shaping Social Activity by Incentivizing Users
Mehrdad Farajtabar, Nan Du, Manuel Gomez Rodriguez et al.
Low-dimensional models of neural population activity in sensory cortical circuits
Evan W Archer, Urs Koster, Jonathan W Pillow et al.
The Infinite Mixture of Infinite Gaussian Mixtures
Halid Z Yerebakan, Bartek Rajwa, Murat Dundar
Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks
Yanping Huang, Rajesh P. Rao
Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology
Mehmet Gönen, Adam A Margolin
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever, Oriol Vinyals, Quoc V Le
Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning
Mohammad Taha Bahadori, Qi (Rose) Yu, Yan Liu
Spike Frequency Adaptation Implements Anticipative Tracking in Continuous Attractor Neural Networks
Yuanyuan Mi, C. C. Alan Fung, K. Y. Michael Wong et al.
Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings
Sebastian Stober, Daniel J Cameron, Jessica A Grahn