Quantum computers promise enormous computational power, but the nature of quantum states makes computation and data ...

The goal in this project is to explore new ways to design learning and inference methods that are robust to distributional uncertainty and data corruption.

Rice computer scientists have developed algorithms that account for quantum noise that is not just random, but malicious ...

Explore the importance of robust statistics like median and MAD in data analysis, ensuring accurate insights despite outliers ...

In recent years, machine learning (ML) has emerged as one of the most significant trends in technology, reshaping industries and redefining how businesses operate. From enhancing user experiences to ...