meta user
network profile
| bio | website | |
|---|---|---|
| location | Salt Lake City | |
| age | ||
| visits | member for | 1 year, 7 months |
| seen | 5 hours ago | |
| stats | profile views | 211 |
Praneeth Vepakomma
Mathematical and Applied Statistics, Rutgers University
|
Aug 21 |
accepted | Why is this regret a good choice for a multi-armed bandit? |
|
Aug 20 |
comment |
Root Convergence Rate of EM or MM Iteration Did a search and found scicomp.stackexchange.com to be a good avenue apart from the math SE. |
|
Aug 20 |
asked | Root Convergence Rate of EM or MM Iteration |
|
Aug 20 |
accepted | Laplacian-Beltrami approximation based on an empirical sample |
|
Aug 20 |
answered | p-value as a distance? |
|
Aug 20 |
revised |
Similarity of two discrete fourier tranforms? added 9 characters in body |
|
Aug 20 |
revised |
Similarity of two discrete fourier tranforms? added 345 characters in body |
|
Aug 20 |
revised |
Similarity of two discrete fourier tranforms? deleted 24 characters in body |
|
Aug 20 |
answered | Similarity of two discrete fourier tranforms? |
|
Aug 19 |
comment |
Laplacian-Beltrami approximation based on an empirical sample I am interested in the asymptotic convergence of $L_{n}^{t}f(x)$ to the continuous version of the operator as the sample size tends to infinity. Also, am interested in quantifying the accuracy of this approximation. Am not sure if the variance or standard error of a monte-carlo estimate of the integrals in the continuous operator would answer this question. What are your thoughts? To be more specific, a bound that quantifies the error, and also depends on $n$ would be the most useful for me. |
|
Aug 19 |
revised |
Laplacian-Beltrami approximation based on an empirical sample manifold terminology replaced |
|
Aug 19 |
comment |
Laplacian-Beltrami approximation based on an empirical sample The inner-product is the vector dot product in $\mathbb{R^N}$ and thanks for noting- I have included $t$ in the definition of $L_{n}^{t}$. Yes, that's right $M$ is a measurable subset in $\mathbb{R^N}$ with a finite measure w.r.t $d\nu$. Also, the norm $||.||$ used in $L^tf(x)$ is the euclidean distance and not a geodesic distance, w.r.t any riemannian metric. Hence, true- the reference that generalizes the question to a manifold may be too restrictive. |
|
Aug 19 |
revised |
Laplacian-Beltrami approximation based on an empirical sample 4t added |
|
Aug 19 |
revised |
Laplacian-Beltrami approximation based on an empirical sample edited title |
|
Aug 19 |
revised |
Laplacian-Beltrami approximation based on an empirical sample edited title |
|
Aug 19 |
revised |
Laplacian-Beltrami approximation based on an empirical sample deleted 16 characters in body |
|
Aug 19 |
revised |
Laplacian-Beltrami approximation based on an empirical sample deleted 18 characters in body |
|
Aug 19 |
asked | Laplacian-Beltrami approximation based on an empirical sample |
|
Aug 17 |
accepted | Expected value and variance of trace function |
|
Aug 16 |
asked | Expected value and variance of trace function |
