Zobrazeno 1 - 10
of 6 331
pro vyhledávání: '"A. Zeevi"'
Autor:
M. Ellison, M. Mangiola, M. Marrari, C. Bentlejewski, J. Sadowski, D. Zern, Cynthia Silvia Maria Kramer, S. Heidt, M. Niemann, Q. Xu, A. I. Dipchand, W. T. Mahle, J. W. Rossano, C. E. Canter, T. P. Singh, W. A. Zuckerman, D. T. Hsu, B. Feingold, S. A. Webber, A. Zeevi
Publikováno v:
Frontiers in Immunology, Vol 14 (2023)
Human leukocyte antigen (HLA) molecular mismatch is a powerful biomarker of rejection. Few studies have explored its use in assessing rejection risk in heart transplant recipients. We tested the hypothesis that a combination of HLA Epitope Mismatch A
Externí odkaz:
https://doaj.org/article/a937fe3bacc44d3ea483202828cf08f6
This paper considers a finite horizon optimal stopping problem for a sequence of independent and identically distributed random variables. The objective is to design stopping rules that attempt to select the random variable with the highest value in
Externí odkaz:
http://arxiv.org/abs/2404.12949
In data exploration, executing complex non-aggregate queries over large databases can be time-consuming. Our paper introduces a novel approach to address this challenge, focusing on finding an optimized subset of data, referred to as the approximatio
Externí odkaz:
http://arxiv.org/abs/2401.17059
We propose a new regret minimization algorithm for episodic sparse linear Markov decision process (SMDP) where the state-transition distribution is a linear function of observed features. The only previously known algorithm for SMDP requires the know
Externí odkaz:
http://arxiv.org/abs/2310.15286
Autor:
Xu, Yunbei, Zeevi, Assaf
We develop a general theory to optimize the frequentist regret for sequential learning problems, where efficient bandit and reinforcement learning algorithms can be derived from unified Bayesian principles. We propose a novel optimization approach to
Externí odkaz:
http://arxiv.org/abs/2310.00806
Due to numerous applications in retail and (online) advertising the problem of assortment selection has been widely studied under many combinations of discrete choice models and feasibility constraints. In many situations, however, an assortment of p
Externí odkaz:
http://arxiv.org/abs/2308.05207
In a recent work, Laforgue et al. introduce the model of last switch dependent (LSD) bandits, in an attempt to capture nonstationary phenomena induced by the interaction between the player and the environment. Examples include satiation, where consec
Externí odkaz:
http://arxiv.org/abs/2306.00338
We consider Pareto front identification (PFI) for linear bandits (PFILin), i.e., the goal is to identify a set of arms with undominated mean reward vectors when the mean reward vector is a linear function of the context. PFILin includes the best arm
Externí odkaz:
http://arxiv.org/abs/2306.00096
Publikováno v:
Journal of Immunology Research, Vol 2017 (2017)
The purpose of the present review is to describe how we improve the model for risk stratification of transplant outcomes in kidney transplantation by incorporating the novel insights of donor-specific anti-HLA antibody (DSA) characteristics. The dete
Externí odkaz:
https://doaj.org/article/8f85b04d8f7e40d59b1125853a93d784
We consider the linear contextual multi-class multi-period packing problem (LMMP) where the goal is to pack items such that the total vector of consumption is below a given budget vector and the total value is as large as possible. We consider the se
Externí odkaz:
http://arxiv.org/abs/2301.13791