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1
vote
Accepted
Upper bound for $\mathbb P(|f(A+XX^T)-f(A)| > \epsilon)$, where $A$ is a fixed pd matrix and...
Below, I provide a "high-probability" non-asymptotic bound (see (+) below) based on non-linear Berry-Esseen theory developed by Iosif Pinelis. I'd be grateful if someone would kindly check that I didn …
1
vote
Accepted
Anti-concentration: upper bound for $P(\sup_{a \in \mathbb S_{n-1}}\sum_{i=1}^na_i^2Z_i^2 \g...
As pointed out by a user (Nate Eldgredge) in the comments under the question,
$$
P\left(\sup_{a \in \mathbb S_{n-1}}\sum_{i=1}^n a_i^2Z_i^2 \ge \epsilon\right) = P\left(\max_{1 \le i \le n}Z_i^2 \ge …
2
votes
Concentration bound on maximum subset sum of standard Gaussians
For a subcollection $\mathcal S$ of $k$-element subsets of $[n]$, consider the random variable $Z_{\mathcal S} := \sup_{A \in \mathcal S}|X_A|$, where $X_A:=\sum_{i \in A}X_i$, and the $X_i$'s are iid …
0
votes
VC dimension of a certain derived class of binary functions
Consider the "loss function" $\ell_t:\mathbb R^2 \to \{0,1\}$ defined by $\phi_t(y,y') := 1_{yy' \le t}$, and let consider the function class on $X \times \{\pm 1\}$ given by
$$
S_t(F):= \ell_t \circ …
1
vote
Use covering number to get uniform concentration from pointwise concentration
Disclaimer: This is just a detailed version of Aryeh's answer.
So, let $\mathcal C_\epsilon$ be $\epsilon/2$-cover for $\Theta$ of minimal cardinality $N(\Theta;\epsilon/2)$. Let $C \in \mathcal C_\e …
1
vote
An approximation problem w.r.t marginal distribution of coordinates of uniform random vector...
Solution with added restriction that $h$ is Lipschitz continuous
Below, I do some computations which seem to suggest the result is true under some additional smoothness constraints on $h$. I'm not 10 …
1
vote
Prove / disprove: If $1 \le n < N$ and $A$ is an $N \times n$ matrix with iid from $\mathcal...
Below, I provide an answer inspired by the comments of user Terry Tao.
Let $n/N =: \lambda \in (0, 1)$ be the aspect ratio of $A$. We will prove the following.
Claim. For every $C>0$, there exists $ …
1
vote
Isoperimetry on $[0, 1]^n$ w.r.t $\ell_p$ distance, with $p \in [1,\infty]$
I managed to piece together a solution to my problem by reading the first page of this paper http://www-users.math.umn.edu/~bobko001/papers/2010_JMS-165_Conc.on.the.cube.pdf.
I'll only handle the euc …
0
votes
Approximate the singular values of a certain random dot-product kernel matrix (in the sense ...
Claim (Nonasymptotic result under smoothenss condition). Suppose $g$ is $\mathcal C^5$ at $0$ and that $d'$ and $d$ are sufficiently large with $c_1 \le n'/d \le c_2$ for some absolute constants $0 < …
1
vote
Upper-bound for spectral norm of the covariance matrix of a certain Gaussian vector with cor...
Here we bound the entire spectrum of $\Sigma'$, from below and above. This post is inspired by a comment of user @BrendanMcKay.
Claim. $\lambda_\max(\Sigma') = O(m/n)$ and $\lambda_\min(\Sigma') = \O …
0
votes
Minimax estimation rate of sparse vector $w_\star$, w.r.t to mixed norm $\|\hat w_n-w_\star\...
For any $c \ge 0$, define $\theta(s,c)$ by
\begin{eqnarray}
\theta(X,s,c) := \inf_{\delta \in \mathrm{CRE}(s,c)}\dfrac{\|X\delta\|_2}{\sqrt{n}\|\delta\|_2},
\end{eqnarray}
where $\mathrm{CRE}(s,c) := …
2
votes
What happens to the Gaussian volume of a Borel set when it is translated?
It turns out that Neyman-Pearson theory helps get a nontrivial inequality.
Notations. For a p.s.d matrix $M$ of size $p$, consider the inner product on $\mathbb R^p$
defined by $\langle x,z \rangle_M …
0
votes
Given iid $w_1,\dotsc,w_N \sim N(0,1/d)$ iid, find a simple matrix $A$ s.t $\|aa^T-A\|_\text...
It turns our the problem has a simple answer, once the easy case has been solved (see the OP).
Indeed, we write $\overline{f} = f + \zeta_0(f)$, so that $\zeta_0(f) = 0$. Now, one has
$$
T = \overlin …
3
votes
Accepted
Concentration of $\ell_2$ norm of a vector sampled from a distribution
WLOG, let $\lambda = 1$ (rescale your problem appropriately, if necessary). Then, it is well-known consequence of Bernstein's inequality (e.g see theorem 3.1.1 of "High-dimensional Probability" book b …
0
votes
Concentration inequality for norm of solution to nonlinear least-squares problem
It turns out it is possible to prove a (very very) slightly weaker lower-bound, namely
$\|v\| = \Omega\left(\left(\dfrac{d}{k}\right)^{1/2}n^{1/2-o(1)}\right) \text{ w.p }1-o(1).
$
Moreover, this bo …