In this paper we study representation of KL-divergence minimization, in the cases where integer sufficient statistics exists, using tools from polynomial ...

In this paper we study representation of KL-divergence min- imization, in the cases where integer sufficient statistics exists, using tools from polynomial ...

In this paper we study constrained maximum entropy and minimum divergence optimization problems, in the cases where integer valued sufficient statistics exists, ...

An algebraic implicitization and specialization of minimum KL-divergence models. Author(s), Ambedkar Dukkipati, Joel George Manathara. Type, Book, Chapter in ...

Aug 1, 2012 · In the cases of minimum KL-divergence models we show that implicitization preserves specialization of prior distribution. This result leads us ...

An Algebraic Implicitization and Specialization of Minimum KL-Divergence Models · Ambedkar DukkipatiJ. G. Manathara. Mathematics. CASC. 2010. TLDR. This paper ...

In the cases of minimum KL-divergence models we show that implicitization preserves specialization of prior distribution. This result leads us to a Gröbner ...

An algebraic implicitization and specialization of minimum KL-divergence models. Ambedkar Dukkipati, Joel George Manathara · Go To Publication. 4, 2011, Border ...

This paper exploits the fact that MaxEnt distributions can be computed by solving nonlinear equation systems that reflect the conditional logical structure ...

Ambedkar Dukkipati and Joel George Manathara: An Algebraic Implicitization and Specialization of Minimum KL-divergence Models. 11:15-11:45, Thomas Bächler ...