Sahely Bhadra
Postdoctoral researcher
I am a postdoctoral researcher at Helsinki Institute for Information Technology HIIT, in the Statistical Machine Learning and Bioinformatics research group and Kernel Machines, Pattern Analysis and Computational Biology.
Contact
- Office:
-
Room T-B332 in Computer Science Building,
Konemiehentie 2, Otaniemi campus area, Espoo - Postal Address:
-
Aalto University School of Science,
Department of Information and Computer Science,
P.O. Box 15400, FI-00076 Aalto, Finland - Telephone:
- +358504627506
- Email:
- firstname.lastname@hiit.fi,
firstname.lastname@aalto.fi
Web presence
Research
- Machine Learning
- Handling Uncertainty in Observations both in feature values and in Kernel matrix for SVM classifiers (Project Page)
- Handling noisy annotation for classification problem
- Optimization
- Robust optimization based methodology
- Efficient proximal method and sprse solution
I am currently working on handelling missing data for kernel method when data has multiple sources. Previously, I have worked on robust optimization to learn form noisy data. My recent work proposes a new pre-processing method to correct noisy labels via mutual consistency check using a Parzen window classifier. It has also used the Spannogram framework to solve the problem with approximation guarantees. During my graduation I have been working on building robust classifiers to deal with \emph{interval valued uncertainty} in data as well as kernel matrices. I have also dealt with \emph{scalability and robustness} of these classifiers. A novel distribution free large deviation inequality has been proposed which handles uncertainty. A mirror descent algorithm (MDA) like procedures have been applied to make learning of proposed robust formulations scalable. In addition to working on the mathematical aspects I focused on applying new formulations on various real life scenarios.
Awards
- IMPECS postdoc fellowship, 2012-2014.
- IBM Ph.D. Fellowship Award 2010 - 2011.
- Best Runner Up paper award in PAKDD, 2009.
Publications
Sahely Bhadra, Samuel Kaski and Juho Rousu. Multi-view Kernel Completion(link). CoRR,2016
Sahely Bhadra, Matthias Hein. Correction of Noisy Labels via Mutual Consistency Check (link). Neurocomputing (160): 34-52, 2015.
Aharon Ben-Tal, Sahely Bhadra, Chiranjib Bhattacharyya and Arkadi Nemirovski.Efficient Methods for Robust Classification Under Uncertainty in Kernel Matrices (link). Journal of Machine Learning Research 13 (Oct):2923.2954, 2012.
Sandeepkumar Satpal, Sahely Bhadra, S Sundararajan, Rajeev Rastogi, Prithviraj Sen. Web Information Extraction Using Markov Logic Networks (pdf). 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)2011.
Sandeepkumar Satpal, Sahely Bhadra, S Sundararajan, Rajeev Rastogi, Prithviraj Sen. Web Information Extraction Using Markov Logic Networks (Poster). International World Wide Web Conferences (WWW) 2011.
Aharon Ben-Tal, Sahely Bhadra, Chiranjib Bhattacharyya and J. Saketha Nath. Chance constrained uncertain classification via robust optimization (pdf). Mathematical Programming Series B, 2011.
Sahely Bhadra, Sourangshu Bhattacharrya , Chiranjib Bhattacharyya and Aharon Ben-Tal. Robust Formulations for Handling Uncertainty in Kernel Matrices(paper,demo). International Conference on Machine Learning (ICML) 2010.
Sahely Bhadra, J. Saketha Nath, Aharon Ben-Tal and Chiranjib Bhattacharyya. Interval Data Classification under Partial Information: A Chance-Constraint Approach (pdf). Achieved Best Runner up certificate in PAKDD-2009.
S. Bhadra , C. Bhattacharyya , N. Chandra , I.S. Mian. A Linear Programming Approach for Estimating the Structure of a Sparse Linear Genetic Network from Transcript Profiling Data (pdf, demo). Accepted for Journal of Algorithms for Molecular Biology, 2009.
Teaching Experiences
- Convex Optimization for Big Data, spring 2016 in Aalto university along with Dr. Alexander Jung and Dr. Sabeur Aridhi.
- Lectures and project supervision : Special course in Bioinformatics II (PCA in bioinformatics), 2016, Aalto Univeristy.
- Teaching assistantship : ICS-E4030 - Kernel Methods in Machine Learning 2015 in Aalto University
- Lectures and project supervision : Special course in Bioinformatics II (Learning from multiple sourses), 2015, Aalto Univeristy.
- Teaching assistantship : Machine Learning 2012-2013, Saarland University.
Education
- August 2006 - June 2012:
Ph.D. in Computer Science and Automation at the Indian Institute of Science , India
Title of Ph. D. thesis : Learning Robust Support Vector Machine Classifiers with Uncertain Observations (supervisor: Prof. Chiranjib Bhattacharyya)
- August 2000 - July 2004:
B.Tech in Information Technology at the University of Kalyani
Research Positions
Postdoctoral Researcher in Max-Planck-Institute for Informatik and Saarland University, Germany (September, 2012 - August, 2014).
Reseach Internship in NetApp, Bangalore (June, 2010 - May,2011).
Reseach Internship in Yahoo! Labs, Bangalore (May, 2009 - July, 2009).