Cs-Lg
Thresholded Basis Pursuit: An LP Algorithm for Achieving Optimal Support Recovery for Sparse and Approximately Sparse Signals from Noisy Random Measurements
On the Doubt about Margin Explanation of Boosting
Robust Low-Rank Subspace Segmentation with Semidefinite Guarantees
Equations of States in Statistical Learning for a Nonparametrizable and Regular Case
Less Regret via Online Conditioning
ARGUS: Adaptive Rotation-Invariant Geometric Unsupervised System
Improving Variational Autoencoder using Random Fourier Transformation: An Aviation Safety Anomaly Detection Case-Study
On the Relation between Realizable and Nonrealizable Cases of the Sequence Prediction Problem
Optimal Solutions for Sparse Principal Component Analysis
Fusion of Multiple Matchers using SVM for Offline Signature Identification
Portfolio Allocation for Bayesian Optimization
Hardness Results for Agnostically Learning Low-Degree Polynomial Threshold Functions
Automatic Pattern Classification by Unsupervised Learning Using Dimensionality Reduction of Data with Mirroring Neural Networks
Regularization Strategies and Empirical Bayesian Learning for MKL
An Exponential Lower Bound on the Complexity of Regularization Paths
Distributive Stochastic Learning for Delay-Optimal OFDMA Power and Subband Allocation
Classifying extremely imbalanced data sets
Frustratingly Easy Domain Adaptation
Separate Training for Conditional Random Fields Using Co-occurrence Rate Factorization
Inference of global clusters from locally distributed data
Feature Reinforcement Learning: Part I: Unstructured MDPs
A Brief Introduction to Temporality and Causality
