Pre-prints

  1. Learning Sparse Potential Games in Polynomial Time and Sample Complexity Ghoshal Asish, and Honorio Jean arXiv preprint arXiv:1706.05648 2017 [arXiv]
  2. Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity Ghoshal Asish, and Honorio Jean arXiv preprint arXiv:1703.01196 2017 [arXiv]

Peer-reviewed Conferences

  1. [AISTATS]
    Information-theoretic limits of Bayesian network structure learning Ghoshal Asish, and Honorio Jean In Artificial Intelligence and Statistics 2017 [arXiv]
  2. [AISTATS]
    Learning Graphical Games from Behavioral Data: Sufficient and Necessary Conditions Ghoshal Asish, and Honorio Jean In Artificial Intelligence and Statistics 2017 [arXiv]
  3. [COMSNETS]
    Fast training on large genomics data using distributed support vector machines Theera-Ampornpunt Nawanol, Kim Seong Gon, Ghoshal Asish, Bagchi Saurabh, Grama Ananth, and Chaterji Somali In Communication Systems and Networks (COMSNETS), 2016 8th International Conference on 2016
  4. [Allerton]
    From behavior to sparse graphical games: Efficient recovery of equilibria Ghoshal Asish, and Honorio Jean In Communication, Control, and Computing (Allerton), 2016 54th Annual Allerton Conference on 2016 [arXiv]
  5. [ACM-BCB]
    An ensemble SVM model for the accurate prediction of non-canonical MicroRNA targets Ghoshal Asish, Grama Ananth, Bagchi Saurabh, and Chaterji Somali In Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics 2015
  6. [ICRA]
    Covering space with simple robots: from chains to random trees Ghoshal Asish, and Shell Dylan A In Robotics and Automation (ICRA), 2013 IEEE International Conference on 2013
  7. [AAAI-SS]
    Being There, Being the RRT: Space-Filling and Searching in Place with Minimalist Robots. Ghoshal Asish, and Shell Dylan A In AAAI Spring Symposium: Multirobot Systems and Physical Data Structures 2011

Journals

  1. [TCBB]
    A Distributed Classifier for MicroRNA Target Prediction with Validation through TCGA Expression Data. Ghoshal Asish, Zhang Jinyi, Roth Michael, Xia Kevin, Grama Ananth, and Chaterji Somali IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) [To Appear]
  2. [BMC Gen]
    MicroRNA target prediction using thermodynamic and sequence curves Ghoshal Asish, Shankar Raghavendran, Bagchi Saurabh, Grama Ananth, and Chaterji Somali BMC genomics 2015