Yoad Lewenberg

יועד לוינברג


PhD Candidate, School of Computer Science and Engineering, The Hebrew University of Jerusalem

I am a PhD student at the School of Computer Science and Engineering at the Hebrew University of Jerusalem, under the supervision of Prof. Jeffrey S. Rosenschein.

My main research interests include MultiAgent Systems, Machine Learning, Algorithmic Game Theory and Bitcoin.

Currently I am the instructor of Mathematical Foundations of Artificial Intelligence.

Publications

  • Agent Failures in All-Pay Auctions, Yoad Lewenberg, Omer Lev, Yoram Bachrach and Jeffrey S. Rosenschein. IEEE Intelligent Systems, vol. 32, no. 1, pp. 8-16, Jan.-Feb. 2017. This an extended version of a paper that appeared at IJCAI 2013. [pdf, full version]
  • Divide and Conquer: Using Geographic Manipulation to Win District-Based Elections, Yoad Lewenberg, Omer Lev and Jeffrey S. Rosenschein. The Sixteenth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017), Sao Paulo, Brazil, May 2017. Also presented at COMSOC 2016 and AGT@IJCAI 2016. [pdf]
  • Knowing What to Ask: A Bayesian Active Learning Approach to the Surveying Problem, Yoad Lewenberg, Yoram Bachrach, Ulrich Paquet and Jeffrey S. Rosenschein. The Thirty-First AAAI Conference on Artificial Intelligence (AAAI 2017), San Francisco, California USA. [pdf]
  • Political Dimensionality Estimation Using a Probabilistic Graphical Model, Yoad Lewenberg, Yoram Bachrach, Lucas Bordeaux and Pushmeet Kohli. The Conference on Uncertainty in Artificial Intelligence (UAI 2016), New York City. [pdf]
  • Misrepresentation in District Voting, Yoram Bachrach, Omer Lev, Yoad Lewenberg and Yair Zick. The 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), New York City. Also presented at EXPLORE 2016, Singapore. [pdf]
  • Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark Information, Yoad Lewenberg, Yoram Bachrach, Sukrit Shankar and Antonio Criminisi. The 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), New York City. [pdf, dataset]
  • Tracking Performance and Forming Study Groups for Prep Courses Using Probabilistic Graphical Models (Extended Abstract), Yoram Bachrach, Yoad Lewenberg, Jeffrey S. Rosenschein, and Yair Zick. The 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), Singapore. [pdf]
  • Predicting Gaming Related Properties from Twitter Profiles, Alfredo Kalaitzis, Maria Ivanova Gorinova, Yoad Lewenberg, Yoram Bachrach, Michael Fagan, Dean Carignan and Nitin Gautam. IEEE BigDataService 2016, Oxford, UK. [pdf]
  • Using Emotions to Predict User Interest Areas in Online Social Networks, Yoad Lewenberg, Yoram Bachrach and Svitlana Volkova. DSAA 2015, Paris. [pdf]
  • Bitcoin Mining Pools: A Cooperative Game Theoretic Analysis, Yoad Lewenberg, Yoram Bachrach, Yonatan Sompolinsky, Aviv Zoharand Jeffrey S. Rosenschein. AAMAS 2015, Istanbul. [pdf]
  • Inclusive Block Chain Protocols, Yoad Lewenberg, Yonatan Sompolinsky and Aviv Zohar. Financial Cryptography and Data Security (FC 2015), January 2015, Puerto Rico. [pdf, full version]
  • Agent Failures in All-Pay Auctions, Yoad Lewenberg, Omer Lev, Yoram Bachrach and Jeffrey S. Rosenschein. The Twenty-Third International Joint Conference on Artificial Intelligence (IJCAI 2013), August 2013, Beijing, pp. 241-247. [pdf]
  • Ishikawa Play, Yoad Lewenberg, Zinovi Rabinovich and Jeffrey S. Rosenschein. The Twelfth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2013), May 2013, St. Paul, Minnesota, pp. 627-634. [pdf]