Sum of Functions Optimizer (SFO) - An optimizer combining the benefits of quasi-Newton and stochastic gradient approaches.

Look Ahead Hamiltonian Monte Carlo (LAHMC) - An HMC sampler which does not rely on detailed balance.

Hamiltonian Annealed Importance Sampling (HAIS) - A method for computing log likelihood by combining HMC and AIS.

Minimum Probability Flow learning (MPF) - A parameter estimation method for unnormalized probabilistic models.

Estimating functional connectivity in neural data using an Ising model