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Generating a sequence of i.i.d permutations by a single uniform random variable

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#probability-theory #statistics #permutations #machine-learning #gradient-descent
148
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Demonstration Gradient Descent

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#derivatives #optimization #machine-learning #gradient-descent
45
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Efficient matrix-product

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#linear-algebra #matrices #tensor-products #machine-learning #optimal-transport
123
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How to prove that Newton's method for optimization will converge in one step

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#optimization #machine-learning #optimal-control #newton-raphson
144
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Generalized second derivative test

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#multivariable-calculus #optimization #machine-learning #hessian-matrix
231
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Why is non-uniformly learnable hypotheses class a countable union of uniformly learnable ones?

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#machine-learning
256
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How to convert 3 numbers (or axes) into one number

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#probability #geometry #metric-spaces #3d #machine-learning
672
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Question on basis change and endomorphism

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#linear-algebra #vector-spaces #vectors #linear-transformations #machine-learning
75
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How is this Jacobian matrix calculated?

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#calculus #matrices #machine-learning #jacobian
30
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Convergence guarantee of Policy Gradient with function approximation

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#proof-explanation #machine-learning
36
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Properties of $\mathbf{x_i^{T}BB^{T}x_{j}}$ with random vectors $\mathbf{x_i, x_j}$ and a trainable matrix $\mathbf{B}$

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#linear-algebra #matrices #vectors #machine-learning
1.9k
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Polynomial approximation to the sigmoid function

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#polynomials #machine-learning
238
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How can the $\tanh(x)$ activation function be written for two variables? $\tanh(x,y)$

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#trigonometry #random-variables #machine-learning #neural-networks
39
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What is the gap between average values in a Gaussian Process and the real mean values?

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#probability #probability-theory #convergence-divergence #machine-learning #gaussian
82
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machine learning model vs time series model?

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#machine-learning #time-series

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