17 citations · 61 across the 13 of their papers we have counts for
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cs.LG2018
Locally Private Learning without Interaction Requires Separation
Amit Daniely, Vitaly Feldman
We consider learning under the constraint of local differential privacy (LDP). For many learning problems known efficient algorithms in this model require many rounds of communicat…
cs.AI2018
Planning and Learning with Stochastic Action Sets
Craig Boutilier, Alon Cohen, Amit Daniely +5
In many practical uses of reinforcement learning (RL) the set of actions available at a given state is a random variable, with realizations governed by an exogenous stochastic proc…
cs.LG2018
Learning Rules-First Classifiers
Deborah Cohen, Amit Daniely, Amir Globerson +1
Complex classifiers may exhibit "embarassing" failures in cases where humans can easily provide a justified classification. Avoiding such failures is obviously of key importance. I…