Zobrazeno 1 - 10
of 10 497
pro vyhledávání: '"RESHEF, A."'
Autor:
Wagner, Jonathan, Meir, Reshef
We introduce the class of \textit{Continuous Thiele's Rules} that generalize the familiar \textbf{Thiele's rules} \cite{janson2018phragmens} of multi-winner voting to distribution aggregation problems. Each rule in that class maximizes $\sum_if(\pi^i
Externí odkaz:
http://arxiv.org/abs/2408.01054
Autor:
Ghalme, Ganesh, Meir, Reshef
The well-known Condorcet's Jury theorem posits that the majority rule selects the best alternative among two available options with probability one, as the population size increases to infinity. We study this result under an asymmetric two-candidate
Externí odkaz:
http://arxiv.org/abs/2408.00317
Autor:
Reshef, Roie, Levy, Kfir Y.
This paper addresses the challenge of preserving privacy in Federated Learning (FL) within centralized systems, focusing on both trusted and untrusted server scenarios. We analyze this setting within the Stochastic Convex Optimization (SCO) framework
Externí odkaz:
http://arxiv.org/abs/2407.12396
Silent Speech Interfaces (SSIs) offer a noninvasive alternative to brain-computer interfaces for soundless verbal communication. We introduce Multimodal Orofacial Neural Audio (MONA), a system that leverages cross-modal alignment through novel loss f
Externí odkaz:
http://arxiv.org/abs/2403.05583
Crowdsourcing platforms use various truth discovery algorithms to aggregate annotations from multiple labelers. In an online setting, however, the main challenge is to decide whether to ask for more annotations for each item to efficiently trade off
Externí odkaz:
http://arxiv.org/abs/2401.15116
Autor:
Kerner, Hannah, Nakalembe, Catherine, Yeh, Benjamin, Zvonkov, Ivan, Skakun, Sergii, Becker-Reshef, Inbal, McNally, Amy
Publikováno v:
Science of Remote Sensing (2024)
The Tigray War was an armed conflict that took place primarily in the Tigray region of northern Ethiopia from November 3, 2020 to November 2, 2022. Given the importance of agriculture in Tigray to livelihoods and food security, determining the impact
Externí odkaz:
http://arxiv.org/abs/2312.10819
Neural networks are susceptible to privacy attacks. To date, no verifier can reason about the privacy of individuals participating in the training set. We propose a new privacy property, called local differential classification privacy (LDCP), extend
Externí odkaz:
http://arxiv.org/abs/2310.20299
Autor:
Kerner, Hannah, Nakalembe, Catherine, Yang, Adam, Zvonkov, Ivan, McWeeny, Ryan, Tseng, Gabriel, Becker-Reshef, Inbal
Publikováno v:
Scientific Data, 11(1), 486
Satellite Earth observations (EO) can provide affordable and timely information for assessing crop conditions and food production. Such monitoring systems are essential in Africa, where there is high food insecurity and sparse agricultural statistics
Externí odkaz:
http://arxiv.org/abs/2307.02575
Publikováno v:
International Conference on Learning Representation (ICLR), First Workshop on Machine Learning for Remote Sensing, 2023
Accurate yield forecasting is essential for making informed policies and long-term decisions for food security. Earth Observation (EO) data and machine learning algorithms play a key role in providing a comprehensive and timely view of crop condition
Externí odkaz:
http://arxiv.org/abs/2306.04646
Autor:
Bielous, Gili, Meir, Reshef
This paper offers a framework for the study of strategic behavior in proxy voting, where non-active voters delegate their votes to active voters. We further study how proxy voting affects the strategic behavior of non-active voters and proxies (activ
Externí odkaz:
http://arxiv.org/abs/2305.10969