query: Optimization without gradient
positive_passages.docid: 4873
positive_passages.text: Optimization when Cost Function Slow to Evaluate
negative_passages.docid: 92956
negative_passages.text: Is it possible to train a neural network without backpropagation?
negative_passages.docid: 157923
negative_passages.text: RMSProp Squared Gradients
negative_passages.docid: 26434
negative_passages.text: Practical hyperparameter optimization: Random vs. grid search
negative_passages.docid: 140816
negative_passages.text: iterative programming
negative_passages.docid: 111809
negative_passages.text: Maximizing a linear function over an ellipsoid
negative_passages.docid: 129771
negative_passages.text: Reparametrization trick with non-Gaussian distributions?
negative_passages.docid: 5076
negative_passages.text: Minimize Function over Convex Subset
negative_passages.docid: 104378
negative_passages.text: Minimizing weighted sum
negative_passages.docid: 51940
negative_passages.text: Step-by-step example of reverse-mode automatic differentiation
negative_passages.docid: 138120
negative_passages.text: Linear regression with non-symmetric cost function?
negative_passages.docid: 21607
negative_passages.text: Optimisation Problem on Cone
negative_passages.docid: 120781
negative_passages.text: Least squares Problem with Non Negativity Constraints
negative_passages.docid: 32831
negative_passages.text: Optimal step size in gradient descent
negative_passages.docid: 34193
negative_passages.text: Linear programming - Maximizing negative objective function
negative_passages.docid: 123451
negative_passages.text: Price Optimization
negative_passages.docid: 44881
negative_passages.text: Using lasso for feature selection, followed by a non-regularized regression