Researchers propose methods that theoretically guarantee minimal loss for worst case scenarios with minimal prior information for heavy-tailed reward distributions The exploration algorithms for ...

Algorithms are embedded into our technological lives, helping accomplish a variety of tasks like making sure that email makes it to your aunt or that you're matched to someone on a dating website who ...

We live in a data-centric world, with artificial intelligence (AI) as the engine that increasingly drives decision-making. Companies and government agencies all seek to make smarter decisions, often ...

Algorithms are currently used to assist in a wide array of health care decisions. Despite the general utility of these health care algorithms, there is growing recognition that they may lead to ...

In data science, researchers typically deal with data that contain noisy observations. An important problem explored by data scientists in this context is the problem of sequential decision making.