Abstract: We study the problem of incorporating risk while making combinatorial decisions under uncertainty. We formulate a discrete submodular maximization problem for selecting a set using ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Abstract: Multi-access edge computing (MEC) has been an important and promising paradigm for offering computing services to mobile users with computation-intensive and latency-critical tasks. In this ...

They first seek to understand why it happened. Leaders often behave as if they agree on why, what, and how to change—when ...

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Agent Security is a Systems Problem Mihai Christodorescu , Earlence Fernandes , Ashish Hooda , Somesh Jha , Johann Rehberger , Kamalika Chaudhuri , Xiaohan Fu , Khawaja Shams , Guy Amir , Jihye Choi , ...

This piece is part of a series analyzing the 2026 surface transportation reauthorization process. Read more here. The one-year countdown has begun until the current surface transportation ...

This innovative two-year direct entry degree builds on the skills and qualifications you’ve already gained to put you ahead in the global jobs market by gaining a full honours BSc degree in ...