Stat-Ml
Manifold-Based Signal Recovery and Parameter Estimation from Compressive Measurements
Plugin procedure in segmentation and application to hyperspectral image segmentation
Conjugate Learning Theory: Uncovering the Mechanisms of Trainability and Generalization in Deep Neural Networks
A Hierarchical Bayesian Model for Frame Representation
Computing p-values of LiNGAM outputs via Multiscale Bootstrap
Finding rare objects and building pure samples: Probabilistic quasar classification from low resolution Gaia spectra
Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary $beta$-Mixing Processes
Online EM Algorithm for Hidden Markov Models
Determining full conditional independence by low-order conditioning
Sparse Group Restricted Boltzmann Machines
Supervised Random Walks: Predicting and Recommending Links in Social Networks
The Sample Complexity of Dictionary Learning
Improved Predictive Models for Acute Kidney Injury with IDEAs: Intraoperative Data Embedded Analytics
Masked Conditional Neural Networks for Automatic Sound Events Recognition
A Scoring Method for Driving Safety Credit Using Trajectory Data
Markov Equivalences for Subclasses of Loopless Mixed Graphs
Bayesian Causal Induction
DeepCSO: Forecasting of Combined Sewer Overflow at a Citywide Level using Multi-task Deep Learning
Enhancing Operation of a Sewage Pumping Station for Inter Catchment Wastewater Transfer by Using Deep Learning and Hydraulic Model
Learning Preference from Observed Rankings
Bayesian Optimization for Adaptive MCMC
Churn analysis using deep convolutional neural networks and autoencoders
