Dmitry Bagaev
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126
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ML×1AI×1
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2026
Composing Non-Conjugate Factor Graphs with Closed-Form Variational Inference
The paper introduces a framework for composing deep probabilistic models using five specific factor-graph primitives that guarantee closed-form variational inference, thereby preserving tractability in complex architectures.
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