AMS268: Advanced Bayesian Computation

The course teaches some of the advanced techniques in Bayesian Computation. Topics include Hamiltonian Monte Carlo, slice sampling, sequential Monte Carlo, assumed density filtering, expectation propagation, stochastic gradient descent, approximate Markov chain monte carlo, variational inference, stochastic variational inference.

5 Credits

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