Research Statement : Pradeep Ravikumar Research

نویسنده

  • Pradeep Ravikumar
چکیده

My principal research interest is in statistical machine learning. One of the key tasks in machine learning is to develop and model efficient inference systems that are able to analyze data and make predictions. Looking at this problem from a statistical perspective has led to a lot of work on probabilistic inference systems. One such recent work is the development of graphical models, which further marries statistical machine learning theory to graph theory. My long term research goal is to contribute to the development of such statistical inference frameworks, both in general, as well as applied to specific problem domains.

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Shape based image reconstruction using linearised deformations

Ozan Öktem, Chong Chen ‡, Nevzat Onur Domaniç, Pradeep Ravikumar and Chandrajit Bajaj 1 Department of Mathematics, KTH – Royal Institute of Technology, 100 44 Stockholm, Sweden 2 State Key Laboratory of Scientific and Engineering Computing, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China 3 Department of Computer Science, University of Texas at Aust...

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Supplementary material for a unified framework for high - dimensional analysis of M - estimators with decomposable regularizers

Sahand Negahban, Department of EECS, Massachusetts Institute of Technology, Cambridge MA 02139 (e-mail: [email protected]). Pradeep Ravikumar, Department of CS, University of Texas, Austin, Austin, TX 78701 (e-mail: [email protected]). Martin J. Wainwright, Department of EECS and Statistics, University of California Berkeley, Berkeley CA 94720 (e-mail: [email protected]). Bin Yu, De...

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PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification

Ian E. H. Yen 1 * [email protected] Xiangru Huang 1 * [email protected] Kai Zhong 2 [email protected] Pradeep Ravikumar 1,2 [email protected] Inderjit S. Dhillon 1,2 [email protected] * Both authors contributed equally. 1 Department of Computer Science, University of Texas at Austin, TX 78712, USA. 2 Institute for Computational Engineering and Sciences, University of Tex...

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تاریخ انتشار 2007