Alex Shtoff's user avatar
Alex Shtoff's user avatar
Alex Shtoff's user avatar
Alex Shtoff
  • Member for 12 years, 11 months
  • Last seen this week
14 votes

Proving $x \mapsto x^4$ is strictly convex

8 votes

Striking applications of linearity of expectation

7 votes

Can a polyhedron be an empty set?

6 votes
Accepted

Definition of stationary points for convex optimization

6 votes

How to prove the logistic loss function is strongly convex?

5 votes
Accepted

Why is the subgradient not a descent method?

4 votes

Show that the Huber-loss based optimization is equivalent to $\ell_1$ norm based.

4 votes
Accepted

Solving a Convex Resource Allocation Problem - Log of a Linear Term with Linear Equality Constraints

4 votes

How to use duality in optimization?

4 votes

Quasiconvex functions definition

4 votes

Understanding the effect of $C$ in soft margin SVMs

3 votes
Accepted

How to prove that the norm of an affine function is coercive?

3 votes
Accepted

Quasi-convexity of sum of two functions

3 votes

Why is it a requirement that we follow the central path in the interior point method?

3 votes

Convex function - Involves powered quadratic form

3 votes

Frontier Equation - Fit a polynomial to the top of a data set

3 votes
Accepted

Faster gradient descent convergence by transforming the gradient?

3 votes

Why is gradient descent used?

3 votes
Accepted

Isotonic regression with a linear constraint

3 votes
Accepted

Optimisation with unit simplex

3 votes
Accepted

Why do we update step-size for constant step-size FISTA?

2 votes
Accepted

How to solve this nonlinear least square optimization?

2 votes
Accepted

Is it a jointly concave function of $(x,y,z)$?

2 votes

Is it true for concave functions?

2 votes

Orthogonal Projection onto $ {L}_{1} $ Ball with Box Constraints

2 votes
Accepted

Algorithms for projecting a point onto the convex hull spanned by a set of vectors

2 votes

Linear Least Squares Problem with Inequality Constraints on Residual

2 votes

Applying a quasi newton (L-BFGS) method to a non differentiable cost function.

2 votes
Accepted

If $f$ is convex in $x$ and $z$, how is $\sup_x(x^Ty - \inf_z f(x,z)) = \sup_{x,z}(x^Ty - f(x,z))$?

2 votes

Explanation of a convex quadratic program