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15
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Role of variance in consistent estimators

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#probability-theory #statistics #statistical-inference #machine-learning #parameter-estimation
100
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(Reference Request, I guess?) No-Free-Lunch Theorem for Unsupervised Learning

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#probability-theory #statistics #reference-request #machine-learning
42
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Bayesian approach to classification task

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#machine-learning #bayesian
78
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Reference request: How to find optimal covering number of a hyperrectangle in $\mathbb{R}^{m^2+m}$?

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#combinatorics #geometry #optimization #computational-complexity #machine-learning
277
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Application of Hoeffding's inequality to the Stochastic Multi-Armed Bandit Problem

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#probability #probability-theory #statistics #machine-learning
21
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Soundness of changing the error function of a squared loss to force a good Hessian condition number

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#optimization #machine-learning #error-function
67
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Estimator using MLE, Maximizing Median Likelihood and Moments of Data

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#probability #statistical-inference #machine-learning #maximum-likelihood
63
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Frobenius Norm confusion on Hermitian and Transpose on matrix form

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#linear-algebra #machine-learning #trace #matrix-norms
50
Views

Proximal Gradient Descent for Online Portfolio Selection

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#convex-optimization #machine-learning #gradient-descent #proximal-operators
260
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Relationship between eigenspectrum of gram matrix and kernel operator

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#functional-analysis #statistics #eigenvalues-eigenvectors #machine-learning
24
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Distributive property of matrix multiplication help

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#matrix-equations #machine-learning #pattern-recognition
23
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If $f(w) = g(\langle w, x \rangle + y )$ with $g$ a $\beta$-smooth function. Show $f$ is $\left(\beta \|x\|^2\right)$-smooth

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#analysis #machine-learning #smooth-functions
40
Views

Support vector machine problem

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#optimization #convex-optimization #machine-learning #duality-theorems #karush-kuhn-tucker
77
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How do I formulate randomized PAC learning of distributions in measure theory terms (i.e. how to set up conditional probabilities)?

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#probability #analysis #measure-theory #machine-learning
45
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Help in understanding the gradient derivation

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#linear-algebra #multivariable-calculus #machine-learning

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