Zobrazeno 1 - 10
of 963
pro vyhledávání: '"Ordentlich, Or"'
Autor:
Ordentlich, Or, Polyanskiy, Yury
Recent work in machine learning community proposed multiple methods for performing lossy compression (quantization) of large matrices. This quantization is important for accelerating matrix multiplication (main component of large language models), wh
Externí odkaz:
http://arxiv.org/abs/2410.13780
We observe an infinite sequence of independent identically distributed random variables $X_1,X_2,\ldots$ drawn from an unknown distribution $p$ over $[n]$, and our goal is to estimate the entropy $H(p)=-\mathbb{E}[\log p(X)]$ within an $\varepsilon$-
Externí odkaz:
http://arxiv.org/abs/2406.06312
Autor:
Klartag, Bo'az, Ordentlich, Or
Let $\nu$ and $\mu$ be probability distributions on $\mathbb{R}^n$, and $\nu_s,\mu_s$ be their evolution under the heat flow, that is, the probability distributions resulting from convolving their density with the density of an isotropic Gaussian ran
Externí odkaz:
http://arxiv.org/abs/2406.03427
It has been known for a long time that the mutual information between the input sequence and output of a binary symmetric channel (BSC) is upper bounded by the mutual information between the same input sequence and the output of a binary erasure chan
Externí odkaz:
http://arxiv.org/abs/2401.14710
The problem of statistical inference in its various forms has been the subject of decades-long extensive research. Most of the effort has been focused on characterizing the behavior as a function of the number of available samples, with far less atte
Externí odkaz:
http://arxiv.org/abs/2312.15225
Let $K$ be a convex body in $\mathbb{R}^n$, let $L$ be a lattice with covolume one, and let $\eta>0$. We say that $K$ and $L$ form an $\eta$-smooth cover if each point $x \in \mathbb{R}^n$ is covered by $(1 \pm \eta) vol(K)$ translates of $K$ by $L$.
Externí odkaz:
http://arxiv.org/abs/2311.04644
In this paper we consider the problem of uniformity testing with limited memory. We observe a sequence of independent identically distributed random variables drawn from a distribution $p$ over $[n]$, which is either uniform or is $\varepsilon$-far f
Externí odkaz:
http://arxiv.org/abs/2206.09395
In this paper we consider the problem of estimating a Bernoulli parameter using finite memory. Let $X_1,X_2,\ldots$ be a sequence of independent identically distributed Bernoulli random variables with expectation $\theta$, where $\theta \in [0,1]$. C
Externí odkaz:
http://arxiv.org/abs/2206.09390
This paper studies the sample complexity of learning the $k$ unknown centers of a balanced Gaussian mixture model (GMM) in $\mathbb{R}^d$ with spherical covariance matrix $\sigma^2\mathbf{I}$. In particular, we are interested in the following questio
Externí odkaz:
http://arxiv.org/abs/2202.07707
In a growing number of applications, there is a need to digitize a (possibly high) number of correlated signals whose spectral characteristics are challenging for traditional analog-to-digital converters (ADCs). Examples, among others, include multip
Externí odkaz:
http://arxiv.org/abs/2110.06183