Papers
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
Integrated Non-Factorized Variational Inference
Shaobo Han, Xuejun Liao, Lawrence Carin
Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization
Nataliya Shapovalova, Michalis Raptis, Leonid Sigal et al.
Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits
Ben Shababo, Brooks Paige, Ari Pakman et al.
Learning to Pass Expectation Propagation Messages
Nicolas Heess, Daniel Tarlow, John Winn
Convergence of Monte Carlo Tree Search in Simultaneous Move Games
Viliam Lisy, Vojta Kovarik, Marc Lanctot et al.
Efficient Online Inference for Bayesian Nonparametric Relational Models
Dae Il Kim, Prem Gopalan, David Blei et al.
Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression
Michalis Titsias RC AUEB, Miguel Lazaro-Gredilla
Convex Tensor Decomposition via Structured Schatten Norm Regularization
Ryota Tomioka, Taiji Suzuki
Graphical Models for Inference with Missing Data
Karthika Mohan, Judea Pearl, Jin Tian
A Novel Two-Step Method for Cross Language Representation Learning
Min Xiao, Yuhong Guo
Reinforcement Learning in Robust Markov Decision Processes
Shiau Hong Lim, Huan Xu, Shie Mannor