Stat-Ml
Operator norm convergence of spectral clustering on level sets
Using Model-based Overlapping Seed Expansion to detect highly overlapping community structure
Effect of Wind Intermittency on the Electric Grid: Mitigating the Risk of Energy Deficits
Gaussian Process Structural Equation Models with Latent Variables
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
