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Research on Algorithms and Incentives in NetworksResearch on Algorithms and Incentives in Networks
http://rain.stanford.edu/
Research on Algorithms and Incentives in Networks
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Research on Algorithms and Incentives in Networks
Research on Algorithms and Incentives in Networks - Organizers
http://rain.stanford.edu/organizers
Faculty Involved with the Seminar. You can join the RAIN mailing list from the RAIN list page. If you would like to give a talk at RAIN, please send us an email.
Research on Algorithms and Incentives in Networks - Organizers
http://rain.stanford.edu/directions
For directions on how to get to the Y2E2 building.
Research on Algorithms and Incentives in Networks - Talk Archive
http://rain.stanford.edu/schedule/archive.shtml
Archive of RAIN talks. Scalable mining of massive networks: Distance-based Centrality, Similarity, and Influence. Auctions and Decentralization in Complex Networks. Towards optimal algorithms for prediction with expert advice. The spread of information in social media. Strategic Learning and the Topology of Social Networks. Information Provision in Dynamic Innovation Tournaments. Sales Mechanisms in Online Markets: What Happened to Internet Auctions? The Dynamics of Online Reputation. Take it or Leave it...
Research on Algorithms and Incentives in Networks - Organizers
http://rain.stanford.edu/note
If you are giving a tech talk at RAIN, please plan a 40 minute talk. You will find the audience to be knowledgable and engaged. If you are there as a non-tech-talk guest, and are asked to say a few words, please plan on speaking for 2 minutes followed by a conversation of 5-10 minutes.
Research on Algorithms and Incentives in Networks - Schedule
http://rain.stanford.edu/schedule
The RAIN seminar is held on Wednesdays from 12:00-1:00pm. And yes, lunch is provided! RAIN schedule for Spring Quarter 2015-16. Scaling up the Web Transparency: Algorithms and Challenges. Prediction Market Trading Strategies: manipulation and forecasting. Collective Phenomena in Complex Networks: Coordination and Social Learning. Conversational Peers and Idea Generation: Evidence from a Field Experiment. Google Calendar for RAIN. Archived talks can be accessed here. Near Feasible Stable Matchings. Joe Re...
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Edith Cohen (Research Page)
http://www.cohenwang.com/edith
Edith Cohen's Research Page. I am a computer scientist. My research is motivated by challenges in managing and mining massive data sets, networks, and information systems. I am interested in modeling and in designing solutions which enhance performance and functionality. I prefer a principled approach and apply and develop tools from algorithms design, statistics, and optimization. I am always looking to learn more, do more, and expand my horizons. Publications and Research Overview. Scalable Mining of M...
» Academic Presentations Esteban Arcaute
http://www.arcaute.com/academic-presentations
Sr Director and Head of Data Science at @WalmartLabs. Workshop on Customer Value Optimization in Digital Marketing, the 31st International Conference on Machine Learning, ICML 2014, Beijing, China (07/2014). Machine Learning for Marketing Analytics, guest lecture for MBA263, Haas School of Business, Berkeley University, Berkeley, CA (04/2014). Imperial College, London, UK (03/2009). Microsoft Research Cambridge, Cambridge, UK (03/2009). EBay Research and Data Mining, San Jose, CA (03/2009). Theme: AutoFo...
» Academic Presentations Esteban Arcaute
http://www.arcaute.com/publications/academic-presentations
Sr Director and Head of Data Science at @WalmartLabs. Workshop on Customer Value Optimization in Digital Marketing, the 31st International Conference on Machine Learning, ICML 2014, Beijing, China (07/2014). Machine Learning for Marketing Analytics, guest lecture for MBA263, Haas School of Business, Berkeley University, Berkeley, CA (04/2014). Imperial College, London, UK (03/2009). Microsoft Research Cambridge, Cambridge, UK (03/2009). EBay Research and Data Mining, San Jose, CA (03/2009). Theme: AutoFo...
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Research on Algorithms and Incentives in Networks
The Internet is a complex network made of both machines and people, and hence, problems in this domain often require techniques from both algorithms and the social sciences. The RAIN (Research on Algorithms and Incentives in Networks) seminar provides a gathering place for talks and social discussion in this area. The seminar is supported, in part, by a gift from Yahoo! And the Computer Forum.
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