3 citations · 7 across the 12 of their papers we have counts for
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stat.ML2023
Anytime Model Selection in Linear Bandits
Parnian Kassraie, Nicolas Emmenegger, Andreas Krause +1
Model selection in the context of bandit optimization is a challenging problem, as it requires balancing exploration and exploitation not only for action selection, but also for mo…
cs.LG2023
Hallucinated Adversarial Control for Conservative Offline Policy Evaluation
Jonas Rothfuss, Bhavya Sukhija, Tobias Birchler +2
We study the problem of conservative off-policy evaluation (COPE) where given an offline dataset of environment interactions, collected by other agents, we seek to obtain a (tight)…