Asish Ghoshal

Recent News

April 16, 2017

I received a travel award to attend AISTATS’17 at Fort Lauderdale, FL. I am thankful to the AISTATS organizers for selecting me for the award.

March 08, 2017

New manuscript on learning the DAG structure of equal noise-variance Gaussian Bayesian networks exactly in polynomial time. The manuscript can be read here

February 1, 2017

Will be in Seattle from Feb 1st - Feb 3rd for the Facebook PhD Machine Learning Summit. Thanks Facebook for the hospitality.

January 25, 2017

Two papers accepted to AISTATS 2017. The first paper is about information-theoretic limits of learning Bayesian networks, while the second paper concerns with necessary and sufficient conditions for learning graphical games. Links to manuscripts coming soon.

August 9, 2016

Our paper on recovering the Nash equilibria set of graphical games from observations of purely behavioral data, has been accepted to Allerton 2016. The manuscript can be read here.

July 10, 2016

New manuscript on recovering the pure-strategy Nash equlibria set of graphical games from observations of purely behavioral data. The manuscript can be read here.

January 27, 2016

New manuscript on the information theoretic limits of learning Bayesian networks. The manuscript can be read here

September 09, 2015

Our paper titled “An Ensemble SVM Model for the Accurate Prediction of Non-Canonical MicroRNA Targets” got the best paper award at ACM-BCB. Here is a picture of our team receiving the award at Georgia Tech. BCB-Banquet Here is the Purdue CS news article on it.

August 18, 2015

Received travel award to attend ACM-BCB conference and BigLS (Big Data in Life Sciences) workshop.

August 11, 2015

Our paper titled “MicroRNA target prediction using thermodynamic and sequence curves” has been accpeted by BMC Genomics. The code for the project can be found here: https://bitbucket.org/cellsandmachines/avishkar.

July 10, 2015

Our paper titled “An Ensemble SVM Model for the Accurate Prediction of Non-Canonical MicroRNA Targets” has been accepted to the ACM-BCB 2015 conference. The code for the project can be found here: https://bitbucket.org/cellsandmachines/avishkar.