Papers
Conditional Random Fields via Univariate Exponential Families
Eunho Yang, Pradeep K Ravikumar, Genevera I Allen et al.
A multi-agent control framework for co-adaptation in brain-computer interfaces
Josh S Merel, Roy Fox, Tony Jebara et al.
Scalable Inference for Logistic-Normal Topic Models
Jianfei Chen, Jun Zhu, Zi Wang et al.
Predictive PAC Learning and Process Decompositions
Cosma Shalizi, Aryeh Kontorovich
Estimation, Optimization, and Parallelism when Data is Sparse
John Duchi, Michael I Jordan, Brendan McMahan
Learning Multi-level Sparse Representations
Ferran Diego Andilla, Fred A. Hamprecht
Unsupervised Structure Learning of Stochastic And-Or Grammars
Kewei Tu, Maria Pavlovskaia, Song-Chun Zhu
Phase Retrieval using Alternating Minimization
Praneeth Netrapalli, Prateek Jain, Sujay Sanghavi
Tracking Time-varying Graphical Structure
Erich Kummerfeld, David Danks
Perfect Associative Learning with Spike-Timing-Dependent Plasticity
Christian Albers, Maren Westkott, Klaus Pawelzik
Reshaping Visual Datasets for Domain Adaptation
Boqing Gong, Kristen Grauman, Fei Sha
Matrix factorization with binary components
Martin Slawski, Matthias Hein, Pavlo Lutsik
Low-Rank Matrix and Tensor Completion via Adaptive Sampling
Akshay Krishnamurthy, Aarti Singh
Training and Analysing Deep Recurrent Neural Networks
Michiel Hermans, Benjamin Schrauwen
Extracting regions of interest from biological images with convolutional sparse block coding
Marius Pachitariu, Adam M Packer, Noah Pettit et al.
Learning Gaussian Graphical Models with Observed or Latent FVSs
Ying Liu, Alan Willsky
Synthesizing Robust Plans under Incomplete Domain Models
Tuan A Nguyen, Subbarao Kambhampati, Minh Do
Translating Embeddings for Modeling Multi-relational Data
Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran et al.
Optimal integration of visual speed across different spatiotemporal frequency channels
Matjaz Jogan, Alan Stocker
Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching
Marcelo Fiori, Pablo Sprechmann, Joshua Vogelstein et al.
BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables
Cho-Jui Hsieh, Matyas A Sustik, Inderjit S Dhillon et al.
Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors
Xiaoqin Zhang, Di Wang, Zhengyuan Zhou et al.
Multiclass Total Variation Clustering
Xavier Bresson, Thomas Laurent, David Uminsky et al.
A Gang of Bandits
Nicolò Cesa-Bianchi, Claudio Gentile, Giovanni Zappella