The Stanford Machine Learning Group is a unique blend of faculty, students, and post-docs spanning AI, systems, theory, and statistics. Our work spans the spectrum from answering deep, foundational questions in the theory of machine learning to building practical large-scale machine learning algorithms which are widely used in industry. Topics include reliable machine learning, large-scale optimization, interactive learning, unsupervised and semi-supervised learning, reinforcement learning, deep learning, and statistical learning theory.