Taming Non-stationary Bandits: A Bayesian Approach. The Causality/Repair Connection in Databases: Causality-Programs. Algorithmic infeasibility of community detection in higher-order networks. Learning Local Receptive Fields and their Weight Sharing Scheme on Graphs. Data preprocessing methods for robust Fourier ptychographic microscopy. On Reject …

Anomaly Detection in a Digital Video Broadcasting System Using Timed Automata. Pseudo-positive regularization for deep person re-identification. Hierarchical Implicit Models and Likelihood-Free Variational Inference. Machine Learning Approach for Detection of nonTor Traffic. Learning Disentangling and Fusing Networks for Face Completion Under Struc …

Variational Inference for Gaussian Process Models with Linear Complexity. Boltzmann Exploration Done Right. Fully Convolutional Neural Networks for Dynamic Object Detection in Grid Maps (Masters Thesis). Hypothesis Testing for High-Dimensional Multinomials: A Selective Review. Towards Building Large Scale Multimodal Domain-Aware Conversation System …

S4Net: Single Stage Salient-Instance Segmentation. Detecting and Grouping Identical Objects for Region Proposal and Classification. Strictly Proper Kernel Scoring Rules and Divergences with an Application to Kernel Two-Sample Hypothesis Testing. Integral Transforms from Finite Data: An Application of Gaussian Process Regression to Fourier Analysis. …