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Maximal Information Propagation via Lotteries
[article]
2021
arXiv
pre-print
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We show that in the free market, the participants have a strong incentive to maximally propagate the information and all the above properties are satisfied automatically. ...
In this work, we design a free market with lotteries, where every participant can decide by herself how much of the reward she wants to withhold before propagating to others. ...
Conclusion and Future Directions In this work, we design a free market with lotteries to incentivize players to maximally propagate information to their friends. ...
arXiv:2110.10606v1
fatcat:i62gi4ouajgxnoedmebnvilo7i
Maximal Information Propagation with Budgets
[article]
2020
arXiv
pre-print
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In this paper, we present an information propagation game on a network where the information is originated from a sponsor who is willing to pay a fixed total budget to the players who propagate the information ...
Our solution can be applied to real world situations such as advertising via social networks with limited budgets. ...
All the works above share the same motivation of propagating information via social networks. ...
arXiv:1912.04056v2
fatcat:x6bweismwzcl7fvn3cdvtstf6e
Practical Probability: Applying pGCL to Lattice Scheduling
[chapter]
2013
Lecture Notes in Computer Science
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Non-leakage with a Concrete Machine Model Our ultimate goal is to show the absence of information leakage via shared state (specifically the processor cache), and so we extend our scheduler with a simple ...
Our 'realistic probabilistic program' is a hybrid probabilistic lattice-lottery scheduler, designed to mitigate information flow through a shared cache, while guaranteeing fairness and remaining simple ...
doi:10.1007/978-3-642-39634-2_23
fatcat:a56tpm2apbdjbmf3nct6yoyj2a
Towards strong pruning for lottery tickets with non-zero biases
[article]
2021
arXiv
pre-print
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The strong lottery ticket hypothesis holds the promise that pruning randomly initialized deep neural networks could offer a computationally efficient alternative to deep learning with stochastic gradient ...
experiments on standard benchmark data sets, we further highlight the practical benefits of non-zero bias initialization schemes, and present theoretically inspired extensions for state-of-the-art strong lottery ...
In Advances in Neural Information Processing Systems, 2020. Stijn Verdenius, Maarten Stol, and Patrick Forré. Pruning via iterative ranking of sensitivity statistics, 2020. ...
arXiv:2110.11150v1
fatcat:2b5ppj3w6rcxvn67aax5ju7l24
Guest Editorial: Network science
2013
IEEE Journal on Selected Areas in Communications
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The paper "On Budgeted Influence Maximization in Social Networks" studies the budgeted influence maximization (BIM) problem which is concerned with selecting a set of seed nodes to disseminate some information ...
Papers appearing in this special issue belong to five broad themes, which are not necessarily mutually exclusive: (1) fundamental principles in network science, (2) information propagation models in networks ...
doi:10.1109/jsac.2013.130601
fatcat:7qvv3mhptrcvzc4xlmp5twr7y4
Linked Document Embedding for Classification
2016
Proceedings of the 25th ACM International on Conference on Information and Knowledge Management - CIKM '16
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In this paper, we study the problem of linked document embedding for classification and propose a linked document embedding framework LDE, which combines link and label information with content information ...
Further experiments are conducted to understand the importance of link and label information in the proposed framework LDE. ...
.; (2) LDE captures label information via modeling document-label information while PTE uses label information via word-label information; (3) in addition to label information, LDE also models link information ...
doi:10.1145/2983323.2983755
dblp:conf/cikm/WangTAL16
fatcat:bfgay4jan5ealg5czt5hpkxdxi
Lottery Jackpots Exist in Pre-trained Models
[article]
2022
arXiv
pre-print
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Existing studies achieve the sparsity of neural networks via time-consuming weight tuning or complex search on networks with expanded width, which greatly limits the applications of network pruning. ...
Our project is available at https://github.com/lottery-jackpot/lottery-jackpot. ...
pruning via a time-consuming weight tuning process to recover the performance. ...
arXiv:2104.08700v5
fatcat:p3suuyfvg5ff7ghbvwgxomj4wy
Programming Incentives in Information Systems
[chapter]
2013
Lecture Notes in Computer Science
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In this paper we present fundamental elements of a framework for programmable incentive management in information systems. ...
Information systems are becoming ever more reliant on different forms of social computing, employing individuals, crowds or assembled teams of professionals. ...
In [6] the aim is to maximize p2p content sharing. In [7] the authors seek to maximize the extension of social network by motivating people to invite others to visit more content. ...
doi:10.1007/978-3-642-38709-8_44
fatcat:r3x63ihucjhpne6cjxkqlkv7fu
Economically Viable Randomness
[article]
2020
arXiv
pre-print
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Randomness is generated via a distributed open commit-reveal scheme by game-theoretic agents who strive to maximize their coin holdings. ...
Applications of EVR include blockchain-based lotteries and gambling. ...
We set t as to maximize both the economic worth of the randomness P = n − t, and the maximal player balance allowed e i + a i = 2t − n. This leads us to set: t = 2n 3 . ...
arXiv:2007.03531v1
fatcat:aexoozemrzclvflpgn43imv65m
Risk preferences and pesticide use by cotton farmers in China
2013
Journal of Development Economics
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Farmers also reproduce the trademarked Bt cotton seeds via on-farm propagation despite evidence that these self-propagated seeds are of lower quality (Pray et al., 2002) . ...
One could imagine instead of maximizing over the Y (yield), farmers are maximizing their utility which is a function of the yield. ...
doi:10.1016/j.jdeveco.2012.12.005
fatcat:xkbaktinzrgfhaax7kwodmascu
Welfare implications of learning through solicitation versus diversification in health care
2015
Journal of Health Economics
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One of the fundamental challenges in health care markets is lack of information about the quality of medical care and technology (Arrow, 1963) . ...
It is often difficult to predict or anticipate such comparative quality information based on product attributes such mechanism of drug action, bioavailability or other mechanistic features because of the ...
We then study how the current mechanisms of CER may continue to propagate and even enhance the welfare losses due to incomplete information.
A. ...
doi:10.1016/j.jhealeco.2015.04.001
pmid:25966453
pmcid:PMC5845847
fatcat:6f7t57a5qveolpuchjatx4jvt4
Financial Fragility and Economic Performance
1990
Quarterly Journal of Economics
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For a very general analysis of competitive markets under asymmetric information, see Prescott and Townsend (1984) . ...
We develop a model of the process of. investment finance in which there is asymmetric information between borrowers and lenders about the quality of investment projects and about the borrower's effort. ...
The revelation of information by lotteries can also be beneficial, however. In -32here only describe our results. ...
doi:10.2307/2937820
fatcat:oxyjj5ppbzcczhc5x5aihuzloa
Effects of Direct Social Experience on Trust Decisions and Neural Reward Circuitry
2012
Frontiers in Neuroscience
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Information about an interaction partner's moral character acquired from biographical information hinders updating of expectations after interactions via top down modulation of reward circuitry. ...
We investigated the role of experienced social information on trust behavior and reward-related BOLD activity. ...
This tendency to rely on information confirming initial social experience to guide behavior and inform reputation building is consistent with the notion of confirmation bias. ...
doi:10.3389/fnins.2012.00148
pmid:23087604
pmcid:PMC3472892
fatcat:tnq2bbtsd5dazax6qry7vrxvbq
Measuring the time stability of Prospect Theory preferences
2010
Theory and Decision
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The log-likelihood of Equation 5b is maximized with a gradient algorithm. ...
The CEs had to be entered via a keyboard with a maximum of two decimal places (Euro-cent). 12 Only CEs within the outcome range of a lottery were accepted. ...
doi:10.1007/s11238-010-9234-3
fatcat:zjrgxju6y5ckvcgymrmqnyhcvu
Risk attitudes in risk-based design: Considering risk attitude using utility theory in risk-based design
2012
Artificial intelligence for engineering design, analysis and manufacturing
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The method is aspirational rather than predictive in nature through the use of a psychometric test rather than lottery methods to generate utility functions. ...
The risk appetite utility functions are developed via E-DO-SPERT test results rather than traditional lottery methods. ...
Figure 5 was developed via a series of lotteries in which the minimum value is $250 and maximum is $1,050; it provides a risk-averse quadratic utility function. ...
doi:10.1017/s0890060412000261
fatcat:cj3xwudzcngideznyyf2gv5zvm
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