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This reflects the common view in the decision-theoretic literature that a decision maker’s utility over outcomes can be elicited in a robust manner — for instance through the trade-off method of Wakker and Deneffe (1996), which is robust to probability distortion and remains valid under rank-dependent and
from the top result below
https://arxiv.org/html/2608.02854v1
1 Introduction
In decision-making under uncertainty, particularly in finance, insurance, and risk management, a decision maker must evaluate and rank random outcomes
https://arxiv.org/html/2604.05327v4
Any researcher or decision-maker who relies on a statistical model to learn about a parameter of interest must therefore contend with the possibility that the likelihood is misspecified
https://arxiv.org/html/2607.29281v2
Geometric Control under Donor-Target Mismatch
https://arxiv.org/html/2410.19947v2
org perpetual non-exclusive license
arXiv:2410
https://arxiv.org/html/2608.03703v1
Dispersing the rebalance through the session, Korea’s chosen remedy, moves the order but not the reference that sizes it and can raise the toll
https://arxiv.org/html/2407.16294v1
com 22institutetext: School of Politics and International Relations, University College Dublin, Ireland
22email: graham
https://arxiv.org/html/2407.01093v1
com/ and GPT-4 OpenAI (2023) could be used to simulate human intelligence
https://arxiv.org/html/2607.26405v1
Among other reasons, when bilateral trade between two currencies is moderate or low, neither side can sustain a deep enough market to offer competitive spreads, so traders gravitate toward an intermediate currency with high liquidity
https://arxiv.org/pdf/2608.02122
) /Title (DEFT: Joint Task Placement and DVFS for Energy-Efficient Multi-GPU Runtimes) /Trapped /False /arXivID (https://arxiv
https://arxiv.org/pdf/2608.01785
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https://arxiv.org/pdf/2407.00125
) /Title (A Survey on Failure Analysis and Fault Injection in AI Systems) /Trapped /False /arXivID (https://arxiv
https://arxiv.org/html/2312.16193v2
1 Introduction
2 Background
2.1 Layer-2 Blockchains
2.2 Project Mariana
3 Related Work and Contribution
4 System Architecture
5 Model
5.1 Automated Market Makers
5.2 Price Impact
6 Simulation
6.1 Data and Parameters
6.2 Results
7
https://arxiv.org/pdf/2005.13905
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https://arxiv.org/pdf/2608.00785
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https://arxiv.org/pdf/2608.02854v1
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https://arxiv.org/src/2608.03994
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https://arxiv.org/src/2006.03720
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https://arxiv.org/src/2006.01128
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https://arxiv.org/pdf/2608.02976
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https://arxiv.org/src/2006.00064
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https://arxiv.org/src/2006.02759
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https://arxiv.org/src/2608.03883
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https://arxiv.org/pdf/2006.02602
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https://arxiv.org/src/2006.01048
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https://arxiv.org/src/2006.01331
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https://arxiv.org/pdf/2608.02666
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https://arxiv.org/pdf/2608.03118
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