Keyphrases
- stochastic gradient
- objective function
- probabilistic model
- cost function
- optimal solution
- utility maximization
- parameter estimation
- exponentiated gradient
- bayesian framework
- prior information
- kalman filter
- worst case
- learning algorithm
- optimization algorithm
- closed form
- np hard
- similarity measure
- em algorithm
- expectation maximization
- supervised learning
- convergence rate
- average case
- stochastic gradient descent
- pairwise