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Haebeom Lee

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#machine learning Open access Oct 2023

Delta-AI: Local objectives for amortized inference in sparse graphical models

A new algorithm for amortized inference in sparse probabilistic graphical models (PGMs) is presented that enables off-policy training but avoids the need to instantiate all the random variables for each parameter update, thus speeding up training considerably.

J. Falet, Haebeom Lee, Esmeralda S. Whitammer et al. · International Conference on... · 9 citations