找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Web and Internet Economics; 15th International C Ioannis Caragiannis,Vahab Mirrokni,Evdokia Nikolov Conference proceedings 2019 Springer Na

[復(fù)制鏈接]
查看: 26539|回復(fù): 74
樓主
發(fā)表于 2025-3-21 19:37:56 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Web and Internet Economics
副標(biāo)題15th International C
編輯Ioannis Caragiannis,Vahab Mirrokni,Evdokia Nikolov
視頻videohttp://file.papertrans.cn/1022/1021688/1021688.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Web and Internet Economics; 15th International C Ioannis Caragiannis,Vahab Mirrokni,Evdokia Nikolov Conference proceedings 2019 Springer Na
描述This book constitutes the proceedings of the 14.th. International Conference on Web and Internet Economics, WINE 2019, held in New York City, USA, in December 2019. .The 23 revised full papers presented were carefully reviewed and selected from 111 submissions. T The papers reflect the work of researchers in theoretical computer science, artificial intelligence, and microeconomics who have joined forces to tackle problems at the intersection of computation, game theory and economics.
出版日期Conference proceedings 2019
關(guān)鍵詞agents; artificial intelligence; Auction Algorithms and Analysis; Coalitions; Computational Advertising;
版次1
doihttps://doi.org/10.1007/978-3-030-35389-6
isbn_softcover978-3-030-35388-9
isbn_ebook978-3-030-35389-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

書目名稱Web and Internet Economics影響因子(影響力)




書目名稱Web and Internet Economics影響因子(影響力)學(xué)科排名




書目名稱Web and Internet Economics網(wǎng)絡(luò)公開度




書目名稱Web and Internet Economics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Web and Internet Economics被引頻次




書目名稱Web and Internet Economics被引頻次學(xué)科排名




書目名稱Web and Internet Economics年度引用




書目名稱Web and Internet Economics年度引用學(xué)科排名




書目名稱Web and Internet Economics讀者反饋




書目名稱Web and Internet Economics讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 21:47:25 | 只看該作者
板凳
發(fā)表于 2025-3-22 01:39:36 | 只看該作者
地板
發(fā)表于 2025-3-22 08:22:02 | 只看該作者
5#
發(fā)表于 2025-3-22 10:33:05 | 只看該作者
Persuasion and Incentives Through the Lens of Dualityhe scheme. In both single and multi-receiver settings, as well as under a variety of constraints on payments, we employ duality to obtain structural insights, as well as tractable and simple characterizations of optimal policies.
6#
發(fā)表于 2025-3-22 13:12:50 | 只看該作者
On the Approximability of Simple Mechanisms for MHR Distributions this ratio is upper-bounded by .; an asymptotically matching lower bound can be reached by a truncated exponential distribution. This result settles an open problem asked of Allouah and Besbes (EC?18), who attained the supremum ratio of 1.40 over all .. Both bounds together supplement the seminal result of Bulow and Klemperer (Am. Econ. Rev.?96).
7#
發(fā)表于 2025-3-22 19:37:43 | 只看該作者
8#
發(fā)表于 2025-3-22 23:39:55 | 只看該作者
Computing Equilibria of Prediction Markets via Persuasionenebeck [.]. We then extend their results by giving computationally efficient algorithms for additional parameter regimes. Our approach leverages a new connection between prediction markets and Bayesian persuasion, which also reveals interesting conceptual insights.
9#
發(fā)表于 2025-3-23 03:34:58 | 只看該作者
Computing Equilibria of Prediction Markets via Persuasionenebeck [.]. We then extend their results by giving computationally efficient algorithms for additional parameter regimes. Our approach leverages a new connection between prediction markets and Bayesian persuasion, which also reveals interesting conceptual insights.
10#
發(fā)表于 2025-3-23 06:38:21 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-13 21:55
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
新建县| 天柱县| 万全县| 双牌县| 商城县| 娄烦县| 宁晋县| 汤原县| 武强县| 布尔津县| 永丰县| 新丰县| 慈利县| 海口市| 乐昌市| 抚顺市| 岐山县| 乐昌市| 兴义市| 望江县| 柞水县| 平邑县| 化隆| 阳谷县| 平昌县| 武强县| 黑山县| 涟水县| 平顶山市| 凯里市| 黄龙县| 沿河| 东宁县| 镇赉县| 海林市| 巴彦淖尔市| 岗巴县| 墨脱县| 三台县| 镇康县| 老河口市|