@inproceedings{DBLP:journals/corr/abs-2106-03215,
  author    = {Neehar Peri and
               Michael J. Curry and
               Samuel Dooley and
               John P. Dickerson},
  title     = {PreferenceNet: Encoding Human Preferences in Auction Design with Deep
               Learning},
  year      = {2021},
  booktitle=nips,
}

{"_id":"6udmxDshbq4zeEfad","bibbaseid":"peri-curry-dooley-dickerson-preferencenetencodinghumanpreferencesinauctiondesignwithdeeplearning-2021","author_short":["Peri, N.","Curry, M. J.","Dooley, S.","Dickerson, J. P."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["Neehar"],"propositions":[],"lastnames":["Peri"],"suffixes":[]},{"firstnames":["Michael","J."],"propositions":[],"lastnames":["Curry"],"suffixes":[]},{"firstnames":["Samuel"],"propositions":[],"lastnames":["Dooley"],"suffixes":[]},{"firstnames":["John","P."],"propositions":[],"lastnames":["Dickerson"],"suffixes":[]}],"title":"PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning","year":"2021","booktitle":"nips","bibtex":"@inproceedings{DBLP:journals/corr/abs-2106-03215,\n author = {Neehar Peri and\n Michael J. Curry and\n Samuel Dooley and\n John P. Dickerson},\n title = {PreferenceNet: Encoding Human Preferences in Auction Design with Deep\n Learning},\n year = {2021},\n booktitle=nips,\n}\n\n\n","author_short":["Peri, N.","Curry, M. J.","Dooley, S.","Dickerson, J. P."],"key":"DBLP:journals/corr/abs-2106-03215","id":"DBLP:journals/corr/abs-2106-03215","bibbaseid":"peri-curry-dooley-dickerson-preferencenetencodinghumanpreferencesinauctiondesignwithdeeplearning-2021","role":"author","urls":{},"metadata":{"authorlinks":{}},"html":""},"bibtype":"inproceedings","biburl":"https://bibbase.org/network/files/N9shvw5cWA2CbcHMc","dataSources":["Lh6eJdwMyMzrS3gfb","wqwd7nGiqwS6jhETX","RyB5gr7vxF4uzPp4p"],"keywords":[],"search_terms":["preferencenet","encoding","human","preferences","auction","design","deep","learning","peri","curry","dooley","dickerson"],"title":"PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning","year":2021}