11 citations · 11 across the 3 of their papers we have counts for
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cs.LG2019
Preventing Adversarial Use of Datasets through Fair Core-Set Construction
Benjamin Spector, Ravi Kumar, Andrew Tomkins
We propose improving the privacy properties of a dataset by publishing only a strategically chosen "core-set" of the data containing a subset of the instances. The core-set allows…
cs.LG2018★ 11 cited
Sample-Efficient Reinforcement Learning through Transfer and Architectural Priors
Benjamin Spector, Serge Belongie
Recent work in deep reinforcement learning has allowed algorithms to learn complex tasks such as Atari 2600 games just from the reward provided by the game, but these algorithms pr…