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06/15/2021
Learning Revenue-Maximizing Auctions With Differentiable Matching
We propose a new architecture to approximately learn incentive compatibl...
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06/06/2021
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning
The design of optimal auctions is a problem of interest in economics, ga...
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10/13/2020
ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning
The design of revenue-maximizing auctions with strong incentive guarante...
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07/07/2020
Detection as Regression: Certified Object Detection by Median Smoothing
Despite the vulnerability of object detectors to adversarial attacks, ve...
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06/15/2020
Certifying Strategyproof Auction Networks
Optimal auctions maximize a seller's expected revenue subject to individ...
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04/20/2020
Headless Horseman: Adversarial Attacks on Transfer Learning Models
Transfer learning facilitates the training of task-specific classifiers ...
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11/30/2019
