Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Khaleghi, Azadeh"'
Autor:
Khaleghi, Azadeh
A more general formulation of the linear bandit problem is considered to allow for dependencies over time. Specifically, it is assumed that there exists an unknown $\mathbb{R}^d$-valued stationary $\varphi$-mixing sequence of parameters $(\theta_t,~t
Externí odkaz:
http://arxiv.org/abs/2405.10817
Autor:
Grünewälder, Steffen, Khaleghi, Azadeh
We propose methods to estimate the individual $\beta$-mixing coefficients of a real-valued geometrically ergodic Markov process from a single sample-path $X_0,X_1, \dots,X_n$. Under standard smoothness conditions on the densities, namely, that the jo
Externí odkaz:
http://arxiv.org/abs/2402.07296
Publikováno v:
J. Math. Phys. 1 February 2024
The paper interprets the cubic nonlinear Schr\"odinger equation as a Hamiltonian system with infinite dimensional phase space. There is a Gibbs measure which is invariant under the flow associated with the canonical equations of motion. The logarithm
Externí odkaz:
http://arxiv.org/abs/2205.12868
Autor:
Khaleghi, Azadeh, Zierahn, Lukas
We introduce PyChEst, a Python package which provides tools for the simultaneous estimation of multiple changepoints in the distribution of piece-wise stationary time series. The nonparametric algorithms implemented are provably consistent in a gener
Externí odkaz:
http://arxiv.org/abs/2112.10565
Autor:
Khaleghi, Azadeh, Lugosi, Gábor
We propose strongly consistent estimators of the $\ell_1$ norm of the sequence of $\alpha$-mixing (respectively $\beta$-mixing) coefficients of a stationary ergodic process. We further provide strongly consistent estimators of individual $\alpha$-mix
Externí odkaz:
http://arxiv.org/abs/2106.07054
Autor:
Grünewälder, Steffen, Khaleghi, Azadeh
We investigate the problem of algorithmic fairness in the case where sensitive and non-sensitive features are available and one aims to generate new, `oblivious', features that closely approximate the non-sensitive features, and are only minimally de
Externí odkaz:
http://arxiv.org/abs/2002.02901
Autor:
Khaleghi, Azadeh, Ryabko, Daniil
The problem of time-series clustering is considered in the case where each data-point is a sample generated by a piecewise stationary ergodic process. Stationary processes are perhaps the most general class of processes considered in non-parametric s
Externí odkaz:
http://arxiv.org/abs/1906.10921
Autor:
Grunewalder, Steffen, Khaleghi, Azadeh
The multi-armed restless bandit problem is studied in the case where the pay-off distributions are stationary $\varphi$-mixing. This version of the problem provides a more realistic model for most real-world applications, but cannot be optimally solv
Externí odkaz:
http://arxiv.org/abs/1702.06972
Autor:
Khaleghi, Azadeh
Cette thèse est consacrée à l'analyse théorique de problèmes non supervisés impliquant des séries temporelles à forte dépendance. Plus particulièrement, nous abordons les deux problèmes fondamentaux que sont le problème d'estimation des p
Externí odkaz:
http://www.theses.fr/2013LIL10088/document
Autor:
Khaleghi, Azadeh
In the context of error control in random linear network coding, it is useful to construct codes that comprise well-separated collections of subspaces of a vector space over a finite field. This thesis concerns the construction of non-constant-dimens
Externí odkaz:
http://hdl.handle.net/1807/18790