Artificial Intelligence

Scalable and Robust Bayesian Inference via the Median Posterior ICML 2014 Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors ICML 2014 Scalable Collaborative Bayesian Preference Learning AISTATS 2014 Scalable Inference for Neuronal Connectivity from Calcium Imaging NeurIPS 2014 Scalable Non-linear Learning with Adaptive Polynomial Expansions NeurIPS 2014 Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations ICML 2014 Scaling-up Importance Sampling for Markov Logic Networks NeurIPS 2014 Scene Signatures: Localised and Point-less Features for Localisation RSS 2014 Searching for Higgs Boson Decay Modes with Deep Learning NeurIPS 2014 Seeing What You're Told: Sentence-Guided Activity Recognition In Video CVPR 2014 Self-Adaptable Templates for Feature Coding NeurIPS 2014 Self-Calibration and Visual SLAM with a Multi-Camera System on a Micro Aerial Vehicle RSS 2014 Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models NeurIPS 2014 Sequence to Sequence Learning with Neural Networks NeurIPS 2014 Sequential Monte Carlo for Graphical Models NeurIPS 2014 Set-Valued Approachability and Online Learning with Partial Monitoring JMLR 2014 Shape and Illumination from Shading using the Generic Viewpoint Assumption NeurIPS 2014 Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation NeurIPS 2014 Simple MAP Inference via Low-Rank Relaxations NeurIPS 2014 Simultaneous Localization and Calibration: Self-Calibration of Consumer Depth Cameras CVPR 2014 Skip Context Tree Switching ICML 2014 SMERED: A Bayesian Approach to Graphical Record Linkage and De-duplication AISTATS 2014 Smoothed Gradients for Stochastic Variational Inference NeurIPS 2014 Socially-aware Large-scale Crowd Forecasting CVPR 2014 Sparse Bayesian structure learning with “dependent relevance determination” priors NeurIPS 2014