Learning from data with structured missingness
Robin Mitra, Sarah F. McGough, Tapabrata Chakraborti, Chris Holmes, Ryan Copping, Niels Hagenbuch, Stefanie Biedermann, Jack Noonan, Brieuc Lehmann, Aditi Shenvi, Xuan Vinh Doan, David Leslie, Ginestra Bianconi, Rubén J. Sánchez-García, Alisha Davies, Maxine Mackintosh, Eleni‐Rosalina Andrinopoulou, Anahid Basiri, Chris Harbron, Ben D. MacArthur
Topics & Concepts
Missing dataComputer scienceData scienceMachine learningMachine Learning and AlgorithmsBayesian Methods and Mixture ModelsMachine Learning and Data Classification