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📚TheoryAdvanced

Transfer Learning Theory

Transfer learning theory studies when and why a model trained on a source distribution will work on a different target distribution.

#transfer learning#domain adaptation#hΔh-divergence+12
⚙️AlgorithmAdvanced

Hamiltonian Monte Carlo (HMC)

Hamiltonian Monte Carlo (HMC) uses gradients of the log-density to propose long-distance moves that still land in high-probability regions.

#hamiltonian monte carlo
Advanced
Filtering by:
#logistic regression
#hmc
#mcmc
+11
⚙️AlgorithmAdvanced

Natural Gradient Method

Natural gradient scales the ordinary gradient by the inverse Fisher information matrix to account for the geometry of probability distributions.

#natural gradient#fisher information#empirical fisher+12
⚙️AlgorithmAdvanced

Newton's Method & Second-Order Optimization

Newton's method uses both the gradient and the Hessian to take steps that aim directly at the local optimum by fitting a quadratic model of the loss around the current point.

#newton's method#second-order optimization#hessian+12