Online and Batch Learning Using Forward-Looking Subgradients
What is Machine Learning?
Speeding Up Stochastic Gradient Descent
Large-Scale Clustering through Functional Embedding
Surrogate Assisted Optimization Methods: Recent Developments and Challenges
Flexible and efficient Gaussian process models
Complete Dictionary Recovery Using Nonconvex Optimization
Optimization Algorithms in Support Vector Machines
Learning Representations: A Challenge for Learning Theory
Logistic Regression: Tight Bounds for Stochastic and Online Optimization