Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference - researchr publication authors

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Edward Meeds, Max Welling. Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference. In Corinna Cortes, Neil D. Lawrence, Daniel D. Lee, Masashi Sugiyama, Roman Garnett, editors, Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada. pages 2080-2088, 2015. [doi]

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