Academic literature on the topic 'Greed'
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Journal articles on the topic "Greed"
Hicok, Bob. "Greed." Iowa Review 33, no. 3 (December 2003): 111–12. http://dx.doi.org/10.17077/0021-065x.5749.
Full textCrawshaw, R. "Greed." BMJ 313, no. 7072 (December 21, 1996): 1596–97. http://dx.doi.org/10.1136/bmj.313.7072.1596a.
Full textAndreff, Wladimir. "The unintended emergence of a greed-led economic system." Kybernetes 48, no. 2 (February 4, 2019): 238–52. http://dx.doi.org/10.1108/k-01-2018-0018.
Full textRehman, Saif Ur, and Yacoub Haider Hamdan. "CEO Greed, Corporate Governance, and CSR Performance: Asian Evidence." Administrative Sciences 13, no. 5 (May 5, 2023): 124. http://dx.doi.org/10.3390/admsci13050124.
Full textWeinrach, Jeff. "It's not the green, it's the greed." Environmental Quality Management 12, no. 1 (2002): 97–99. http://dx.doi.org/10.1002/tqem.10057.
Full textWang, Long, and J. Keith Murnighan. "On Greed." Academy of Management Annals 5, no. 1 (June 2011): 279–316. http://dx.doi.org/10.5465/19416520.2011.588822.
Full textWang, Long, and J. Keith Murnighan. "On Greed." Academy of Management Annals 5, no. 1 (June 2011): 279–316. http://dx.doi.org/10.1080/19416520.2011.588822.
Full textBerke, Joseph H. "Penis Greed." British Journal of Psychotherapy 5, no. 3 (March 1989): 423–30. http://dx.doi.org/10.1111/j.1752-0118.1989.tb01099.x.
Full textSeuntjens, Terri G., Marcel Zeelenberg, Seger M. Breugelmans, and Niels van de Ven. "Defining greed." British Journal of Psychology 106, no. 3 (October 15, 2014): 505–25. http://dx.doi.org/10.1111/bjop.12100.
Full textBulstrode, C. "Embarrassing greed?" BMJ 310, no. 6973 (January 21, 1995): 198–99. http://dx.doi.org/10.1136/bmj.310.6973.198a.
Full textDissertations / Theses on the topic "Greed"
Anderson, Jennifer Susan. "Selfish, Excessive, Greedy: The Psychological Causes and Consequences of Perceptions of Greed." Diss., The University of Arizona, 2014. http://hdl.handle.net/10150/316780.
Full textAltschuler, Jason (Jason M. ). "Greed, hedging, and acceleration in convex optimization." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120409.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 153-156).
This thesis revisits the well-studied and practically motivated problem of minimizing a strongly convex, smooth function with first-order information. The first main message of the thesis is that, surprisingly, algorithms which are individually suboptimal can be combined to achieve accelerated convergence rates. This phenomenon can be intuively understood as "hedging" between safe strategies (e.g. slowly converging algorithms) and aggressive strategies (e.g. divergent algorithms) since bad cases for the former are good cases for the latter, and vice versa. Concretely, we implement the optimal hedging by simply running Gradient Descent (GD) with prudently chosen stepsizes. This result goes against the conventional wisdom that acceleration is impossible without momentum. The second main message is a universality result for quadratic optimization. We show that, roughly speaking, "most" Krylov-subspace algorithms are asymptotically optimal (in the worst-case) and "most" quadratic functions are asymptotically worst-case functions (for all algorithms). From an algorithmic perspective, this goes against the conventional wisdom that accelerated algorithms require extremely careful parameter tuning. From a lower-bound perspective, this goes against the conventional wisdom that there are relatively few "worst functions in the world" and they have lots of structure. It also goes against the conventional wisdom that a quadratic function is easier to optimize when the initialization error is more concentrated on certain eigenspaces - counterintuitively, we show that so long as this concentration is not "pathologically" extreme, this only leads to faster convergence in the beginning iterations and is irrelevant asymptotically. Part I of the thesis shows the algorithmic side of this universality by leveraging tools from potential theory and harmonic analysis. The main result is a characterization of non-adaptive randomized Krylov-subspace algorithms which asymptotically achieve the so-called "accelerated rate" in the worst case. As a special case, this recovers the known fact that GD accelerates when inverse stepsizes are i.i.d. from the Arcsine distribution. This distribution has a remarkable "equalizing" property: every quadratic function is equally easy to optimize. We interpret this as "optimal hedging" since there is no worst-case function. Leveraging the equalizing property also provides other new insights including asymptotic isotropy of the iterates around the optimum, and uniform convergence guarantees for extending our analysis to l2. Part II of the thesis shows the lower-bound side of this universality by connecting quadratic optimization to the universality of orthogonal polynomials. We also characterize, for every finite number of iterations n, all worst-case quadratic functions for n iterations of any Krylov-subspace algorithm. Previously no tight constructions were known. (Note the classical construction of [Nemirovskii and Yudin, 1983] is only tight asymptotically.) As a corollary, this result also proves that randomness does not help Krylov-subspace algorithms. Combining the results in Parts I and II uncovers a duality between optimal Krylov-subspace algorithms and worst-case quadratic functions. It also shows new close connections between quadratic optimization, orthogonal polynomials, Gaussian quadrature, Jacobi operators, and their spectral measures. Part III of the thesis extends the algorithmic techniques in Part I to convex optimization. We first show that running the aforementioned random GD algorithm accelerates on separable convex functions. This is the first convergence rate that exactly matches the classical quadratic-optimization lower bound of [Nemirovskii and Yudin, 1983] on any class of convex functions richer than quadratics. This provides partial evidence suggesting that convex optimization might be no harder than quadratic optimization. However, these techniques (provably) do not extend to general convex functions. This is roughly because they do not require all observed data to be consistent with a single valid function - we call this "stitching." We turn to a semidefinite programming formulation of worst-case rate from [Taylor et al., 2017] that ensures stitching. Using this we compute the optimal GD stepsize schedules for 1, 2, and 3 iterations, and show that they partially accelerate on general convex functions. These optimal schedules for convex optimization are remarkably different from the optimal schedules for quadratic optimization. The rate improves as the number of iterations increases, but the algebraic systems become increasingly complicated to solve and the general case eludes us.
by Jason Altschuler.
S.M.
Hill, Declan. "Greed and Glory : Match-fixing in Professional Football." Thesis, University of Oxford, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.504026.
Full textCrandall, Gary E. "The relation of the believer's completeness to Christ's completeness in Colossians 2:9-10." Theological Research Exchange Network (TREN), 1986. http://www.tren.com.
Full textEngeldahl, Niclas, and Christer Jonsson. "Greed is good? : Om sambandet mellan aktiekurs och rörlig ersättning." Thesis, Umeå University, Umeå School of Business, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1647.
Full textI Sverige började användandet av incitamentsprogram under 1980-talet. Sedan dess har formerna för incitamentsprogram utvecklats och de har kommit att bli allt vanligare och allt mer omfattande. Efter ett antal ”bonusskandaler” under början av 2000-talet blev det vanligare att koppla incitamentsprogrammen till någon form av motprestation. Det var våra funderingar kring hur kopplingen hänger ihop som ledde oss fram till problemformuleringen om det finns något samband mellan vd:ns rörliga ersättning och bolagets aktiekurs. Vi har utifrån en positivistisk syn behandlat problemet med ett deduktivt angreppssätt. Med en kvantitativ metod har vi undersökt sambandet i 66 svenska börsnoterade bolag. Undersökningen genomfördes via datainsamling från bolagens årsredovisningar under åren 2002-2006. De data som vi erhållit har analyserats statistiskt med hjälp av bland annat regressionsanalys. Den teoretiska grunden utgörs av agentteorin som kompletteras med motivations- och förväntningsteori. Tidigare forskning visar på blandade resultat när det gäller sambandet mellan ersättning och prestation. Tydligt är att det finns en mängd olika variabler som påverkar hur väl ett samband framträder, samt att åsikterna är delade om vilka dessa kan vara. De empiriska resultaten visar att det linjära sambandet mellan rörlig ersättning och kursutveckling är mycket svagt. Detta har varit den genomgående trenden i undersökningen. Vår undersökning har därför inte kunnat fastställa att det finns något samband mellan vd:ns rörliga ersättning och bolagets aktiekursutveckling. Den låga förklaringsgraden och de låga Betavärdena leder till slutsatsen att det är andra faktorer än de vi undersökt som påverkar vd:ns ersättning.
Hartley, Christopher. "Fear and greed : financial crisis in the novel since 1850." Thesis, University of Oxford, 2015. http://ora.ox.ac.uk/objects/uuid:f10d11fd-916d-480f-ac24-0379b1a5a71b.
Full textPatrick, Philippa Jane. "'Greed, gluttony and intemperance'? : testing the stereotype of the 'obese medieval monk'." Thesis, University College London (University of London), 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.414736.
Full textPotter, Gary. "Weed, need and greed : domestic marijuana production and the UK cannabis market." Thesis, University of Sheffield, 2006. http://etheses.whiterose.ac.uk/10377/.
Full textVoiles, Rebekah, and Clay Matthews. "Greed and Parrots: Examining the Emergence of Pirate Tropes in Treasure Island." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/asrf/2018/schedule/6.
Full textVAN, HOUTEN Sjoukje Marloes. "Greed, grief, a gift. War-traumatized women and contextualizing expressive arts therapy." Digital Commons @ Lingnan University, 2016. https://commons.ln.edu.hk/cs_etd/31.
Full textBooks on the topic "Greed"
Brassey, Alexis, and Stephen Barber, eds. Greed. London: Palgrave Macmillan UK, 2009. http://dx.doi.org/10.1057/9780230246157.
Full text1972-, Brassey Alex, and Barber Stephen 1974-, eds. Greed. New York: Palgrave Macmillan, 2009.
Find full textBook chapters on the topic "Greed"
Krekels, Goedele. "Greed." In Encyclopedia of Personality and Individual Differences, 1830–33. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_1078.
Full textBalch, Alex. "Greed." In Immigration and the State, 201–24. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-137-38589-5_9.
Full textKrekels, Goedele. "Greed." In Encyclopedia of Personality and Individual Differences, 1–4. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-28099-8_1078-1.
Full textvon Stroheim, Erich. "Greed." In 100 Silent Films, 93–94. London: British Film Institute, 2011. http://dx.doi.org/10.1007/978-1-84457-569-5_38.
Full textHamby, Zachary. "Greed." In Greek Mythology for Teens, 129–46. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003235378-8.
Full textde Vries, Manfred F. R. Kets. "Greed." In A Life Well Lived, 48–53. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003452867-13.
Full textBrassey, Alexis, and Stephen Barber. "Introduction to Greed." In Greed, 1–4. London: Palgrave Macmillan UK, 2009. http://dx.doi.org/10.1057/9780230246157_1.
Full textRoncarati, Marco. "Working with Greed: The Challenge of Inequalities." In Greed, 143–56. London: Palgrave Macmillan UK, 2009. http://dx.doi.org/10.1057/9780230246157_10.
Full textWall, Derek. "Sufficiency not Greed: ‘Consume Less, Share More, Enjoy Life’." In Greed, 157–69. London: Palgrave Macmillan UK, 2009. http://dx.doi.org/10.1057/9780230246157_11.
Full textFreedman, Linda. "The Narrative of Consumption: Greed and Literature." In Greed, 170–87. London: Palgrave Macmillan UK, 2009. http://dx.doi.org/10.1057/9780230246157_12.
Full textConference papers on the topic "Greed"
Sadegiani, Alli. "Greed." In ACM SIGGRAPH ASIA 2009 Computer Animation Festival. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1665208.1665225.
Full textSadegiani, Alli. "Greed." In ACM SIGGRAPH 2009 Computer Animation Fesitval. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1596685.1596737.
Full textHalldórsson, Magnús, and Jaikumar Radhakrishnan. "Greed is good." In the twenty-sixth annual ACM symposium. New York, New York, USA: ACM Press, 1994. http://dx.doi.org/10.1145/195058.195221.
Full textShenker, Scott. "Making greed work in networks." In the conference. New York, New York, USA: ACM Press, 1994. http://dx.doi.org/10.1145/190314.190319.
Full textDütting, Paul, Tim Roughgarden, and Inbal Talgam-Cohen. "Modularity and greed in double auctions." In EC '14: ACM Conference on Economics and Computation. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2600057.2602854.
Full textRaman, Ravi Kiran, and Srilakshmi Pattabiraman. "Selfish Learning: Leveraging the Greed in Social Learning." In ICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2018. http://dx.doi.org/10.1109/icassp.2018.8462324.
Full textPlaksin, Vadim Yu, Heon Ju Lee, and Oleksiy V. Penkov. "Application of greed type DBD in diesel engine exhausts cleaning." In 2008 IEEE 35th International Conference on Plasma Science (ICOPS). IEEE, 2008. http://dx.doi.org/10.1109/plasma.2008.4591148.
Full textUstebay, Deniz, Boris Oreshkin, Mark Coates, and Michael Rabbat. "The speed of greed: Characterizing myopic gossip through network voracity." In ICASSP 2009 - 2009 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2009. http://dx.doi.org/10.1109/icassp.2009.4960421.
Full textEftekhari, Armin, and Michael B. Wakin. "Greed is super: A new iterative method for super-resolution." In 2013 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, 2013. http://dx.doi.org/10.1109/globalsip.2013.6736968.
Full textZhang, Yuan, Tao Lei, Regina Barzilay, and Tommi Jaakkola. "Greed is Good if Randomized: New Inference for Dependency Parsing." In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). Stroudsburg, PA, USA: Association for Computational Linguistics, 2014. http://dx.doi.org/10.3115/v1/d14-1109.
Full textReports on the topic "Greed"
Mazzola, Paul. Unbridled greed still plagues banking. Edited by Lachlan Guselli. Monash University, June 2023. http://dx.doi.org/10.54377/d8fb-d562.
Full textBandula-Irwin, Tanya, Max Gallien, Ashley Jackson, Vanessa van den Boogaard, and Florian Weigand. Beyond Greed: Why Armed Groups Tax. Institute of Development Studies (IDS), November 2021. http://dx.doi.org/10.19088/ictd.2021.021.
Full textBandula-Irwin, Tanya, Max Gallien, Ashley Jackson, Vanessa van den Boogaard, and Florian Weigand. Beyond Greed: Why Armed Groups Tax. Institute of Development Studies, August 2023. http://dx.doi.org/10.19088/ictd.2023.044.
Full textBilbiie, Florin, and Diego Känzig. Greed? Profits, Inflation, and Aggregate Demand. Cambridge, MA: National Bureau of Economic Research, August 2023. http://dx.doi.org/10.3386/w31618.
Full textLo, Andrew, Dmitry Repin, and Brett Steenbarger. Fear and Greed in Financial Markets: A Clinical Study of Day-Traders. Cambridge, MA: National Bureau of Economic Research, April 2005. http://dx.doi.org/10.3386/w11243.
Full textMansoob Murshed, Syed, and José A. Cuesta. On the Micro-Foundations of Contract versus Conflict with Implications for International Peace-Making. Inter-American Development Bank, August 2008. http://dx.doi.org/10.18235/0010896.
Full textGao, Zhenyu, Yan Luo, Shu Tian, and Hao Yang. Green Preference, Green Investment. Asian Development Bank, April 2024. http://dx.doi.org/10.22617/wps240238-2.
Full textComin, Diego, and Johannes Rode. From Green Users to Green Voters. Cambridge, MA: National Bureau of Economic Research, July 2013. http://dx.doi.org/10.3386/w19219.
Full textComin, Diego, and Johannes Rode. Do Green Users Become Green Voters? Cambridge, MA: National Bureau of Economic Research, June 2023. http://dx.doi.org/10.3386/w31324.
Full textPangestu, Mari. Unequal green gains thwart Asia’s green transition. East Asia Forum, December 2023. http://dx.doi.org/10.59425/eabc.1703714450.
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