Low-rank data analysis has emerged as a powerful paradigm across applied mathematics, statistics, and data science. With the rapid growth of modern datasets in size, dimensionality, and complexity, ...

The amino acid sequence of the transmembrane protein and its corresponding positions on the cell membrane are transformed into a hidden Markov process. After evaluating the parameters, the Viterbi ...

Google has demonstrated a 13,000 times speedup for the Quantum Echoes algorithm using its Willow quantum chip. The feat is repeatable, according to the company, and it paves the way toward real-world ...

The project aimed to develop a full stack of technologies to bring the practical advantages of quantum computing to industry in the near term Quantum computing is one of the frontiers of research and ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...

Amsterdam’s struggles with its welfare fraud algorithm show us the stakes of deploying AI in situations that directly affect human lives. What Amsterdam’s welfare fraud algorithm taught me about fair ...

ABSTRACT: In this paper, we consider a more general bi-level optimization problem, where the inner objective function is consisted of three convex functions, involving a smooth and two non-smooth ...

Panelists discuss how treatment goals for intermediate-risk myelofibrosis patients focus on achieving meaningful clinical outcomes including relieving symptoms, preventing worsening of anemia, ...