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A first contribution in this direction is Stoye (2012), who studies the binary full-adoption problem when the experiment does not point-identify the target-population welfare contrast τQ:=WQ​(1)−WQ​(0)\tau_{Q}:=W_{Q}(1)-W_{Q}(0), but only an estimating-population contrast, say τQS\tau_{Q}^{S}, linked to τQ\
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Producing Policy Recommendations: from Statistical Decision Theory to

https://arxiv.org/html/2607.29281v2
Geometric Control under Donor-Target Mismatch

Computer Vision and Pattern Recognition

https://arxiv.org/list/cs.CV/new
Skip to main content System maintenance August 4th and 5th Learn more × Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Computer Vision and Pattern Recognition New submissions Cross-lists Replacements

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https://arxiv.org/src/2211.01910v2
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You’ve Got to be Efficient: Ambiguity, Misspecification and

https://arxiv.org/html/2604.05327v4
Variational Preferences Report GitHub Issue × Title: Content selection saved. Describe the issue below: Description: Submit without GitHub Submit in GitHub arXiv is now an independent nonprofit! Learn more × Back to arXiv Why HTML?

[2006.02833] An Automated Implementation of Hybrid Cloud for Performance

https://arxiv.org/abs/2006.02833
We also explore performance evaluation of cloud bursting for six modern and distributed database systems on the hybrid cloud spanning over local OpenStack and Microsoft Azure

\dotsttsfontdots.tts.edit: Precisely Controlled Speech Editing with a

https://arxiv.org/html/2608.02673v1
org perpetual non-exclusive license arXiv:2608

MDGAM-Based Cooperative Task Scheduling for Communication-Constrained

https://arxiv.org/html/2608.00648v1
Distributed Multi-Agent Systems Report GitHub Issue × Title: Content selection saved. Describe the issue below: Description: Submit without GitHub Submit in GitHub arXiv is now an independent nonprofit! Learn more × Back to arXiv

1 Introduction

https://arxiv.org/html/2506.01844v1
2 Related work Vision-language models (VLMs). Vision-language-action models (VLAs). 3 SmolVLA: small, efficient and capable Overview. 3.1 Model architecture Vision-language model (VLM). State, action, and feature projectors. Visual