Dean Laura Haas invites Manning CICS MS students for Coffee with the Dean.
This is an opportunity for students to mingle with other Manning CICS MS students, to ask questions, and share their experiences with Dean...
Dean Laura Haas invites Manning CICS MS students for Coffee with the Dean.
This is an opportunity for students to mingle with other Manning CICS MS students, to ask questions, and share their experiences with Dean...
Join us for the inside scoop on leveraging LinkedIn to best represent yourself online professionally.
Om Chitale, senior program manager, and Luis Fernandez Valentin, technical program manager at LinkedIn will be...
The Product Management Club meets weekly on Tuesday nights to discuss trends in technology, conduct product thinking seminars, work on case studies, read books, and occasionally prep together for PM recruitment. All UMass...
Abstract: Reinforcement Learning provides an attractive suite of online learning methods for personalizing interventions in Digital BehavioralHealth. However after a reinforcement learning algorithm has been run in a...
Join the Responsible Technology Coalition (RTC) for our first event of the school year! We'll have time for informal socializing, an overview of RTC's plans for the year, and then a presentation by Virginia Partridge on...
Dean Laura Haas invites Manning CICS PhD students for Coffee with the Dean.
This is an opportunity for students to mingle with other Manning CICS PhD students, to ask questions, and share their experiences with...
Abstract: Large language models (LLMs) have demonstrated impressive capabilities across diverse downstream tasks. However, their output often includes factual errors (i.e., hallucinations), making it challenging to apply...
In an increasingly data-driven world, algorithms play a pivotal role in shaping our lives, from determining what content we see on social media to influencing hiring decisions and resource allocation. The impact of these...
Policy gradient methods are a class of reinforcement learning algorithms that optimize a parametric policy by maximizing an objective function which directly measures the performance of the policy. Despite being used in...
Last day to drop with "DR" - Graduate students