ServiceFor 2018, I'm on the PC for EC, ICML, FAT*, WWW, and ALT. In 2017, I was on the PC for EC, ICML, NetEcon, and FAT/ML. I also served on the EC PC in 2016.
FundingI have been fortunate to be supported by the Simons Award for Graduate Students in Theoretical Computer Science (2014-2016), an NSF GFRP fellowship, as well as the Microsoft Research Graduate Women's Scholarship.
Datasheets for DatasetsI'm very excited about a project I've been working on with Timnit Gebru, Briana Vecchione, Jennifer Wortman Vaughn, Hanna Wallach, Hal Daume III, and Kate Crawford. We're proposing transparency and standardization of the documentation accompanying datasets. The working paper is here!
|ICML 2017||Fair Learning in Markovian Environments.||Shahin Jabbari, Matthew Joseph, Michael Kearns, Jamie Morgenstern, and Aaron Roth.|
|EC 2017||Fairness Incentives for Myopic Agents.||Sampath Kannan, Michael Kearns, Jamie Morgenstern, Mallesh Pai, Aaron Roth, Rakesh Vohra, and Zhiwei Steven Wu.||arxiv|
|WINE 2016||Strategic Network Formation with Attack and Immunization||Sanjeev Goyal, Shahin Jabbari, Michael Kearns, Sanjeev Khanna, Jamie Morgenstern.||arxiv|
|NIPS 2016||Fairness in Learning: Classic and Contextual Bandits.||Matthew Joseph, Michael Kearns, Jamie Morgenstern, and Aaron Roth.||arxiv|
|EC 2016||Simple Mechanisms for Agents with Complements||Michal Feldman, Ophir Friedler, Jamie Morgenstern, Guy Reiner||arxiv|
|COLT 2016||Learning Simple Auctions||Jamie Morgenstern, Tim Roughgarden||arxiv|
|STOC 2016||Do Prices Coordinate Markets? (short version)||Justin Hsu, Jamie Morgenstern, Ryan Rogers, Aaron Roth, Rakesh Vohra||arxiv|
|NIPS 2015||The Pseudo-Dimension of Nearly Optimal Auctions
Selected for a spotlight presentation, along with 3.6% of submissions.
|Jamie Morgenstern and Tim Roughgarden||arxiv|
|EC 2015||Private Pareto-Optimal Exchange||Sampath Kannan, Jamie Morgenstern, Ryan Rogers, and Aaron Roth||arxiv|
|EC 2015||Simple Auctions with Simple Strategies||Nikhil Devanur, Jamie Morgenstern, Vasilis Syrgkanis, S. Matthew Weinberg|
|EC 2015||Learning What's Going On: Reconstruction Preferences and Priorities from Opaque Transactions||Avrim Blum, Yishay Mansour, Jamie Morgenstern||arxiv|
|IJCAI 2015||Impartial Peer Review||David Kurokawa, Omer Lev, Jamie Morgenstern, Ariel Procaccia|
|SODA 2015||Approximately Stable, School Optimal, and Student-Truthful Many-to-One Matchings (via Differential Privacy)||Sampath Kannan, Jamie Morgenstern, Aaron Roth, Steven Wu||arxiv|
|AAAI 2015||Learning Valuation Distributions from Partial Observation||Avrim Blum, Yishay Mansour, Jamie Morgenstern||arxiv|
|ITCS 2015||Privacy-preserving Public Information in Sequential Games||Avrim Blum, Jamie Morgenstern, Ankit Sharma, Adam Smith||arxiv|
|AAAI 2013||How Bad is Selfish Voting?||Simina Brânzei, Ioannis Caragiannis, Jamie Morgenstern, Ariel D. Procaccia|
|COSN 2013||Hierarchical community decomposition via oblivious routing techniques||William Sean Kennedy, Jamie Morgenstern, Gordon Wilfong, Lisa Zhang|
|APPROX 2012||Additive Approximation for Near-Perfect Phylogeny Construction||Pranjal Awasthi, Avrim Blum, Jamie Morgenstern, Or Sheffet|
|AAAI 2012||On Maxsum Fair Cake Divisions||Steven J. Brams, Michal Feldman, John K. Lai, Jamie Morgenstern, Ariel D. Procaccia|
|STM 2011||A proof-carrying File system with Revocable and Use-once Certificates (Conference on Security and Trust Management)||Jamie Morgenstern, Deepak Garg, Frank Pfenning|
|ICFP 2010||Security-typed Programming Within Dependently Typed Programming||Jamie Morgenstern, Dan Licata|