"Stein discrepancy" · 2 results · Global ETD Search

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Showing 1 to 2 of 2 for “"Stein discrepancy"”.

Advances in approximate inference: combining VI and MCMC and improving on Stein discrepancy

Gong, WenboUniversity of Cambridge2021

… we shift our focus to a promising future: Stein discrepancy, which greatly expands the choice of approximating distributions compared to the Kullback-Leibler (KL) divergence. We aim to improve on it by addressing the well-known curse-of-dimensionality problem of its scalable variant: …

cambridge Repository record for Advances in approximate inference: combining VI and MCMC and improving on Stein discrepancy (opens in a new tab)
Algorithms for Discovering Collections of High-Quality and Diverse Solutions, With Applications to Bayesian Non-Negative Matrix Factorization and Reinforcement Learning

Masood, Muhammad ArjumandGraduate School of Arts & Sciences2019

Machine Learning problems often admit a solution space that is not unique. When multiple feasible solutions exist, picking from a diverse, representative set may lead to better generalization and task-specific performance. While the emphasis of much of the literature has been on directly finding …

harvard Repository record for Algorithms for Discovering Collections of High-Quality and Diverse Solutions, With Applications to Bayesian Non-Negative Matrix Factorization and Reinforcement Learning (opens in a new tab)