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torch.distributions.ExponentialFamily.entropy

ExponentialFamily.entropy(): Tensor

Computes entropy using Bregman divergence formula.

For exponential family distributions: H = -E[log p(x)] = A(η) - η·E[T(x)] + E[log h(x)]

Since E[T(x)] = ∇A(η), this simplifies to: H = A(η) - η·∇A(η) + E[log h(x)]

This default implementation uses autograd to compute ∇A(η).

Returns

Tensor– Entropy of the distribution
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