Black-box $α$-divergence Minimization

10 Nov 2015José Miguel Hernández-LobatoYingzhen LiMark RowlandDaniel Hernández-LobatoThang BuiRichard E. Turner

Black-box alpha (BB-$\alpha$) is a new approximate inference method based on the minimization of $\alpha$-divergences. BB-$\alpha$ scales to large datasets because it can be implemented using stochastic gradient descent... (read more)

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