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Complex computer simulators are increasingly used across fields of science as generative models tying parameters of an underlying theory to experimental observations.
Bayesianly justifiable and relevant frequency calculations for the applied statistician
Rubin, D. B. (1984) · 1984
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Simple statistical gradient-following algorithms for connectionist reinforcement learning
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Markov chain monte carlo without likelihoods
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Sequential monte carlo without likelihoods
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Variational Optimization
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Generative adversarial nets
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y. (2014) · 2014
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Approximating likelihood ratios with calibrated discriminative classifiers
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