An increasing number of decisions regarding the daily lives of human beings are being
controlled by artificial intelligence and machine learning (ML) algorithms in spheres ranging …

Deep learning is currently an extremely active research area in machine learning and
pattern recognition society. It has gained huge successes in a broad area of applications …

We introduce DeepNash, an autonomous agent that plays the imperfect information game
Stratego at a human expert level. Stratego is one of the few iconic board games that artificial …

In this monograph, I introduce the basic concepts of Online Learning through a modern view
of Online Convex Optimization. Here, online learning refers to the framework of regret …

We present a systematic approach for achieving fairness in a binary classification setting.
While we focus on two well-known quantitative definitions of fairness, our approach …

The most prevalent notions of fairness in machine learning fix a small collection of pre-
defined groups (such as race or gender), and then ask for approximate parity of some …

Multi-armed bandits a simple but very powerful framework for algorithms that make
decisions over time under uncertainty. An enormous body of work has accumulated over the …

We address the issue of limit cycling behavior in training Generative Adversarial Networks
and propose the use of Optimistic Mirror Decent (OMD) for training Wasserstein GANs …

An introduction to a broad range of topics in deep learning, covering mathematical and
conceptual background, deep learning techniques used in industry, and research …

An increasing number of decisions regarding the daily lives of human beings are being
controlled by artificial intelligence (AI) and machine learning (ML) algorithms in spheres …