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Lawrence Murray

Lawrence Murray is a research scientist manager at Uber AI. He works in probabilistic programming and Monte Carlo methods for Bayesian inference. Lawrence holds a PhD in Informatics from the University of Edinburgh.

Engineering Blog Articles

Fraud Detection: Using Relational Graph Learning to Detect Collusion

As Uber grew in popularity and scale among legitimate customers, it also attracted the attention of financial criminals in the cyberspace. One type of fraudulent behavior is collusion, a cooperative fraud action among users. For example, users collude by taking

Research Papers

Probabilistic Programming for Birth-Death Models of Evolution Using an Alive Particle Filter with Delayed Sampling

J. Kudlicka, L. M. Murray, F. Ronquist, T. B. Schön
We consider probabilistic programming for birth-death models of evolution and introduce a new widely-applicable inference method that combines an extension of the alive particle filter (APF) with automatic Rao-Blackwellization via delayed sampling. [...] [PDF]
Conference on Uncertainty in Artificial Intelligence (UAI), 2019