Cs-Lg
On the Dual Formulation of Boosting Algorithms
Online Learning for Matrix Factorization and Sparse Coding
A New Theoretic Foundation for Cross-Layer Optimization
Prediction of Zoonosis Incidence in Human using Seasonal Auto Regressive Integrated Moving Average (SARIMA)
A tutorial on conformal prediction
High-Dimensional Non-Linear Variable Selection through Hierarchical Kernel Learning
Consistency of the group Lasso and multiple kernel learning
Scale-sensitive Psi-dimensions: the Capacity Measures for Classifiers Taking Values in R^Q
Which graphical models are difficult to learn?
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
