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Bias Reduction in Sample-Based Optimization [PDF]
SIAM Journal on Optimization, 2022 We consider stochastic optimization problems which use observed data to estimate essential characteristics of the random quantities involved. Sample average approximation (SAA) or empirical (plug-in) estimation are very popular ways to use data in optimization. It is well known that sample average optimization suffers from downward bias.
Darinka Dentcheva, Yang Lin
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‘Optimism bias’ in contemporary national clinical trial network phase III trials: are we improving? [PDF]
Annals of Oncology, 2018 Lucas Vitzthum +2 more
exaly +2 more sources
Humanities & Social Sciences Communications, 2021 Individuals are more optimistic about their own future than a comparable person’s future (personal optimism bias). In addition, they show overoptimism toward people or social groups they identify with compared with those they do not identify with (social
Tatjana Aue +4 more
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Bias of Particle Approximations to Optimal Filter Derivative [PDF]
SIAM Journal on Control and Optimization, 2021 In many applications, a state-space model depends on a parameter which needs to be inferred from a data set. Quite often, it is necessary to perform the parameter inference online. In the maximum likelihood approach, this can be done using stochastic gradient search and the optimal filter derivative.
Tadic, VZB, Doucet, A
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Risk perception and optimism during the early stages of the COVID-19 pandemic
Royal Society Open Science, 2021 Slowing the spread of COVID-19 requires people to actively change their lives by following protective practices, such as physical distancing and disinfecting their hands.
Benjamin J. Kuper-Smith +4 more
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On Implicit Bias in Overparameterized Bilevel Optimization
CoRR, 2022 ICML ...
Paul Vicol +4 more
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Current Biology, 2011 SummaryThe ability to anticipate is a hallmark of cognition. Inferences about what will occur in the future are critical to decision making, enabling us to prepare our actions so as to avoid harm and gain reward. Given the importance of these future projections, one might expect the brain to possess accurate, unbiased foresight.
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Optimality bias in moral judgment
Journal of Experimental Social Psychology, 2017 We often make decisions with incomplete knowledge of their consequences. Might people nonetheless expect others to make optimal choices, despite this ignorance? Here, we show that people are sensitive to moral optimality: that people hold moral agents accountable depending on whether they make optimal choices, even when there is no way that the agent ...
De Freitas, Julian +1 more
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Relationships Between Self-Rated Health at Three Time Points: Past, Present, Future
Frontiers in Psychology, 2022 Background: Multiple studies have shown that people who have experienced a serious health problem such as an injury tend to overrate the quality of health they had before that event.
Andreas Hinz +6 more
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Affective decision making: A theory of optimism bias [PDF]
Games and Economic Behavior, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Anat Bracha, Donald J. Brown
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