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Kurdika - Lojasewicz inequality

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#inequality #optimization #machine-learning
119
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Finding the feature map that approximates the first three terms of Maclaurin series

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#linear-algebra #sequences-and-series #machine-learning
868
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An approximation to $\ln(1+e^x)$ and how to use it for splitting the logarithm of a sum

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#reference-request #soft-question #logarithms #approximation #machine-learning
71
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Linear algebra in higher-dimensional spaces

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#linear-algebra #machine-learning
26
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Unsure how kullback-leibler was invoked in derivation.

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#probability-distributions #machine-learning #derivation-of-formulae
21
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Use of the Kullback-Leibler divergence in variational bayes and deep learning

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#machine-learning #information-theory #variational-analysis
110
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Show that the self-attention operation can be approximated by using the following formula

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#linear-algebra #taylor-expansion #machine-learning
52
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Why do we use softmax with log-likelihood in deep learning?

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#machine-learning #log-likelihood
68
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expectation of the product of Gaussian kernels and their input

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#calculus #probability #statistics #expected-value #machine-learning
12
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Derive the asymptotic variance for ML estimator with BHHH (Poisson)

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#machine-learning #variance #maximum-likelihood
163
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Necessary and sufficient conditions of linear separability of labelled cube $\{0,1\}^n$

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#combinatorics #machine-learning
46
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Is the more general uncertainty principle related to bias-variance tradeoff?

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#fourier-analysis #fourier-transform #intuition #machine-learning #variance
46
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Is the result of dual function valid?

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#optimization #machine-learning #artificial-intelligence
55
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Graph canonization for breaking ties in colored graph

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#graph-theory #machine-learning
39
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How to find the Lipschitz constant of the function below?

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#real-analysis #differential-geometry #machine-learning #lipschitz-functions

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