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Found 2 papers, 1 papers with code
Detecting Toxic Flow
This paper develops a framework to predict toxic trades that a broker receives from her clients.
Efficient Online Bayesian Inference for Neural Bandits
In this paper we present a new algorithm for online (sequential) inference in Bayesian neural networks, and show its suitability for tackling contextual bandit problems.
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