Cs-Lg
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models
PlanIt: A Crowdsourcing Approach for Learning to Plan Paths from Large Scale Preference Feedback
Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks
Further heuristics for $k$-means: The merge-and-split heuristic and the $(k,l)$-means
Caffe: Convolutional Architecture for Fast Feature Embedding
Budget-Constrained Item Cold-Start Handling in Collaborative Filtering Recommenders via Optimal Design
Deep Epitomic Convolutional Neural Networks
Multi-task Neural Networks for QSAR Predictions
Fast Support Vector Machines Using Parallel Adaptive Shrinking on Distributed Systems
Fast and Flexible ADMM Algorithms for Trend Filtering
Training Convolutional Networks with Noisy Labels
Analyzing Social and Stylometric Features to Identify Spear phishing Emails
An Incentive Compatible Multi-Armed-Bandit Crowdsourcing Mechanism with Quality Assurance
Convex Total Least Squares
Unsupervised Feature Learning through Divergent Discriminative Feature Accumulation
Authorship Attribution through Function Word Adjacency Networks
Analyzing noise in autoencoders and deep networks
A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations
Learning Laplacian Matrix in Smooth Graph Signal Representations
Probabilistic ODE Solvers with Runge-Kutta Means
Multi-stage Multi-task feature learning via adaptive threshold
Linear Convergence of Variance-Reduced Stochastic Gradient without Strong Convexity
