Benjamin Lubin / Papers and Research

LATEST: Under Review & Near Submission

(Drafts available upon request)

Mechanism Design

  • G. Brero, B. Lubin and S. Seuken (2017). Combinatorial Auctions via Machine Learning-based Preference Elicitation.

Social Network Methods

  • B. Lubin, J. Shore, V. Ishakian (2017). Designing Network Structures for Digitally-Mediated Collaboration. Earlier working version available here.

Social Networks & Machine Learning in Healthcare

  • K. Geissler, B. Lubin, K. Ericson (2017). Physicians Are More Likely to Make Referrals Within Medical Group, But Not Physician Contracting Network.

  • B. Lubin, K.Geissler, K. Ericson (2017). Insurance Design and Physician Information Network Structure.

  • S. Zheng, M. Shwartz, B. Lubin (2017). Predicting Long-Term Patient Cost from Chart-Level Data: Applying Machine Learning to the Framingham Heart Study.

On-Going Research & Working-Papers

Mechanism Design

  • B. Lubin. Revenue Optimal Composite Good Design with Applications to the Cloud.

Social Network Methods

  • B. Lubin. J. Shore. Evaluating the Suitability of Network Models via Spectral Hypothesis Testing.

Journal Publications & Book Chapters

  • B. Lubin, A. Juda, R. Cavallo, S. Lahaie, J. Schneidman, D. Parkes. (2017). ICE: An Expressive Iterative Combinatorial Exchange. Book chapter in Handbook of Spectrum Auction Design, Martin Bichler and Jacob Goeree Ed.

  • B. Lubin, D. Parkes. (2014). Allocating and Pricing Data Center Resources with Power-Aware Combinatorial Auctions. Book chapter in Smart Data Pricing, S. Sen, C. Joe-Wong, S. Ha, M. Chiang Ed.

Peer-Reviewed Computer Science Conference Papers

  • D. Parkes, R. Cavallo, N. Elprin, A. Juda, S. Lahaie, B. Lubin, L. Michael, J. Shneidman, H. Sultan. (2005). ICE: An Iterative Combinatorial Exchange. Proc. of the 6th ACM Conf. on Electronic Commerce (EC-05), 249-258.

Conference Papers on Educational Methodology

Posters

  • K. Geissler, B. Lubin, K Ericson (2015). Access is not enough: characteristics of physicians who treat Medicaid patients. Academy Health

  • K. Geissler, B. Lubin, K Ericson (2015). Insurance Policy Design and Physician Information Network Structure: Evidence from a Large-Scale Dataset. Academy Health

  • B. Lubin, K. Geissler, K. Ericson (2014). A Network Analysis of Physician Information Sharing and its Mediation by Insurance Coverage. Statistical Challenges in eCommerce Research (SCECR-14)

  • B. Lubin, J. Shore, V. Ishakian (2013). Communication Network Design: Balancing Modularity and Mixing via Extremal Graph Spectra. Conference on Web and Internet Economics (WINE-13)

  • B. Lubin, J. Shore, V. Ishakian (2013). Communication Network Design: Balancing Modularity and Mixing via Extremal Graph Spectra. New York Computer Science and Economics (NYCSE-13)

  • B. Lubin and M. Ghasemi (2013). Construction of Revenue Optimal Composite Goods with Applications to the Cloud. Statistical Challenges in eCommerce Research (SCECR-13)

  • B. Lubin, J. Shore, V. Ishakian (2012). Communication Network Design: Balancing Modularity and Mixing via Extremal Graph Spectra. Workshop on Information in Networks (WIN-12).

Technical Reports

  • B. Lubin (2011). One-Sided Support Vector Regression as a Method for defining Payment Rules

  • B. Lubin (2009). A General Payment Rule for Approximate Incentive Compatibility Using a Prior.

  • B. Lubin (2008). Proposed Bidding Language Specification for the FAA Domain.

  • B. Lubin and D. Parkes (2007). Generation of Realistic Synthetic Combinatorial Exchange Problems.

  • B. Lubin (2006). Kernel Methods for Preference Representation in Combinatorial Auctions.

  • B. Lubin (2005). Representing Parameterized Goods as Hypercubes.