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Prove that logSumExp is the smooth maximum regularized by entropy

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#logarithms #convex-optimization #machine-learning #entropy #karush-kuhn-tucker
47
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Deriving variational inference for a simple example

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#probability #approximation #statistical-inference #machine-learning #bayesian
63
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Ridge regresssion on a Echo State network

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#machine-learning #regression #neural-networks #network #standard-error
40
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When should I stop iteration when a transition matrix M gives the same distribution vector?

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#linear-algebra #algorithms #markov-chains #linear-programming #machine-learning
58
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Programmer struggling to navigate through mathematics notation and formulas(AI)

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#probability-distributions #machine-learning #finite-state-machine
45
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RNN Back propagation proof

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#linear-algebra #derivatives #machine-learning
48
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In what sense word-embedding in NLP is embedding in mathematics?

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#manifolds #machine-learning #neural-networks
23
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Fuzzy Entropy, what is the correct exponential term?

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#machine-learning #signal-processing #entropy #time-series #fuzzy-logic
105
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When can a neural network simultaneously approximate a function and its derivative?

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#functional-analysis #reference-request #machine-learning #approximation-theory #neural-networks
39
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Variational Autencoders and the inequality $\mathbb{E}_{z∼q(z|x)}log (p_{model}(x | z)) − D_{KL}(q(z | x)||p_{model}(z)) ≤ log (p_{model}(x))$

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#statistics #machine-learning
103
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Probability theory in machine learning

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#probability #probability-distributions #machine-learning
50
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Soft: Understanding the difference between machine/statistical learning and parameter estimation

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#statistical-inference #machine-learning #parametric #parameter-estimation
79
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Understanding of support vector machine classifiers and linear separability of data in infinite dimensions

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#hilbert-spaces #machine-learning #reproducing-kernel-hilbert-spaces
57
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How to capture "order" of a sequence?

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#combinatorics #machine-learning
27
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Why don't the variables matter for my objective function?

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#optimization #machine-learning

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