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Week of Events
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MOVED TO ZOOM Evaluating the Robustness and Efficiency of Estimators for Informative Covariate Censoring
MOVED TO ZOOM Evaluating the Robustness and Efficiency of Estimators for Informative Covariate Censoring
Abstract: While right-censored time-to-event outcomes have been studied for decades, handling time-to-event covariates, also known as censored covariates, is now of growing interest. So far,…
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EVENT CANCELED Who’s Afraid of AI? Myths and Realities of Generative AI
EVENT CANCELED Who’s Afraid of AI? Myths and Realities of Generative AI
Abstract: There has been a spike in concern about existential risk from artificial general intelligence, or AGI. This fear, commonly associated with terms such as…
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Specifying Goals to Deep Neural Networks with Answer Set Programming
Specifying Goals to Deep Neural Networks with Answer Set Programming
Abstract: Methods such as DeepCubeA have used deep reinforcement learning to learn domain-specific heuristic functions in a largely domain-independent fashion to solve planning problems. However,…
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(Virtual) – (Nearly) 40 Years of SE+AI
(Virtual) – (Nearly) 40 Years of SE+AI
Abstract: Dr. Kaiser will discuss her past work applying AI-based techniques to software engineering problems and applying software engineering techniques to finding bugs in AI…