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softmax 与log sum exp - 知乎
Bound to the log-sum-exp function There is a relatively simple way to bound the log-sum-exp by a quadratic function. An upper bound was known for the binary case since 1996. It was due to Jordan and Jaakkola in the context of variational inference for ...
Accurate Computation of the Log-Sum-Exp and Softmax Functions | DeepAI
On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning – arXiv Vanity
Convert the perspective function of log-sum-exp to cvx - CVX Forum: a community-driven support forum
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Accurate Computation of the Log-Sum-Exp and Softmax Functions | DeepAI
Vectorial LogSumExp reduction — KeOps
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Gabriel Peyré on Twitter: "The soft-max is the gradient of the log-sum-exp. Central to preform classification using logistic loss. Needs to be stabilised using the log-sum-exp trick. Also at the heart of
Avoid Numerical EXPLOSIONS with the Log Sum Exp Trick - YouTube
Plots of the log-sum-exp, negative entropy and both components of... | Download Scientific Diagram
Plots of the log-sum-exp, negative entropy and both components of... | Download Scientific Diagram
Are You Messing With Me Softmax?. Numerical instability and weirdness of… | by Lahiru Nuwan Wijayasingha | The Startup | Medium
LogSumExp - LogSumExp - Wikipedia
Underflow/overflow from improper log, then sum, then exp · Issue #5 · lanl-ansi/inverse_ising · GitHub