Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling ...

Machine learning, a branch of artificial intelligence, allows a computer to teach itself how to solve problems by analyzing ...

Validating AI is increasingly getting societal attention. AI safety has been a low priority. No more. I explore validation as ...

Active learning represents a transformative paradigm in machine learning, aimed at reducing the annotation burden by selectively querying the most informative data points. This approach leverages ...

The recent paper studies algorithmic pricing through the lens of game theory, an interdisciplinary field at the border of ...

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...