A Stein variational Newton method

Stein variational gradient descent (SVGD) was recently proposed as a general purpose nonparametric variational inference algorithm [Liu & Wang, NIPS 2016]: it minimizes the Kullback-Leibler divergence between the target distribution and its approximation by implementing a form of functional grad...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Marzouk, Youssef M, Spantini, Alessio
Άλλοι συγγραφείς: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Μορφή: Άρθρο
Γλώσσα:English
Έκδοση: Curran Associates, Inc. 2020
Διαθέσιμο Online:https://hdl.handle.net/1721.1/126535