基本信息
浏览量:197
职业迁徙
个人简介
Research
Interests
Machine Learning, Web Search and Information Retrieval, Education at Scale, Data
Mining
Education Cornell University August 2010 - July 2015 (expected)
Ph.D. in Computer Science
• Graduate Minor in Applied Math
• Advisor: Thorsten Joachims
• Area of Study: Machine Learning, Web Search
• GPA (after 9 semesters): 4.14/4.30
• Committee: Thorsten Joachims, Johannes Gehrke, Robert Kleinberg, Paul Bennett
M.S. in Computer Science
• Awarded in August 2013.
Indian Institute of Technology, Bombay August 2006 - May 2010
B.Tech., Computer Science & Engineering, May 2010
• Thesis Topic: Improving Pseudo-Relevance Feedback : Multilingual Feedback and
Irrelevance-Based Feedback
• Advisor: Pushpak Bhattacharyya
• Co-Advisor: Raghavendra Udupa, MSR-India
• Area of Study: Information Retrieval, Natural Language Processing
• Ranked second with CPI of 9.54/10
Awards &
Achievements
Cornell
• SIGIR 2013 Best Student Paper Award.
• Google PhD Fellowship in Search and Information Retrieval, 2013.
• Yahoo! Key Scientific Challenge Award, 2011.
• Cornell-Olin Fellowship 2010-11.
• WSDM 2015 Outstanding Reviewer Award.
• Cornell Teaching Assistant Excellence Award 2011, 2013.
• Travel Awards: Cornell Grant (ECML 2013, KDD 2012), Microsoft (ICML 2013),
SIGIR Grant (SIGIR 2010, 2013), ACL (ACL 2010), IITB Grant (ACL 2010,
SIGIR 2010).
Undergraduate and before
• All India Rank 34 (out of 300,000 students) in the IIT-JEE Examination (2006).
• All India Rank 4 (out of 500,000 students) in the AIEEE Examination (2006).
• Awarded CBSE Merit Scholarship (2006).
• Awarded National Talent Search Scholarship (2004).
• Awarded Maharashtra Talent Search Competition (2003).
• Awarded Gold Medal for Excellence in Mathematics in the University of New
South Wales Examination (2001).
Actuarial Science
• Completed 2 core technical exams of the Actuarial Society of India.
1 of 6
Journal
Publications
Raman, K., Bennett, P.N. and Collins-Thompson, K. Understanding Intrinsic Diversity
in Web Search: Improving Whole-Session Relevance. In ACM Transactions on Information
Systems (TOIS) 32, 4, Article 20 (October 2014), 45 pages.
Conference
Publications
Raman, K. and Joachims. T. Bayesian Ordinal Peer Grading. In Learning@Scale 2015,
March 2015, Vancouver, BC, Canada.
Raman, K. and Joachims. T. Methods for Ordinal Peer Grading. In KDD 2014, August
2014, New York, NY, USA.
Raman, K. and Joachims. T. Learning Socially Optimal Information Systems from
Egoistic Users. In ECML 2013, September 2013, Prague, Czech Republic.
Raman, K., Swaminathan, A., Gehrke, J. and Joachims. T. Beyond Myopic Inference
in Big Data Pipelines. In KDD 2013, August 2013, Chicago, IL, USA.
Raman, K., Bennett, P.N. and Collins-Thompson, K. Toward Whole-Session Relevance:
Exploring Intrinsic Diversity in Web Search. In SIGIR 2013, July 2013, Dublin,
Ireland. (Best Student Paper)
Raman, K., Joachims. T., Shivaswamy. P., and Schnabel, T. Stable Coactive Learning
via Perturbation. In ICML 2013, June 2013, Atlanta, GA, USA.
Raman, K., Svore, K., Gilad-Bachrach, R and, Burges, C. Correctable Learning: Learning
from Past Mistakes. In CIKM 2012, October 2012, Maui, HI, USA.
Raman, K., Shivaswamy, P. and Joachims, T. Online Learning to Diversify from Implicit
Feedback. In KDD 2012, August 2012, Beijing, China.
Raman, K., Joachims. T. and Shivaswamy, P. Structured Learning of Two-Level Dynamic
Rankings. In CIKM 2011, October 2011, Glasgow, Scotland.
Chinnakotla, M., Raman, K., and Bhattacharyya. P. Multilingual PRF: English Lends
a Helping Hand. In SIGIR 2010, July 2010, Geneva, Switzerland.
Chinnakotla, M., Raman, K., and Bhattacharyya. P. Multilingual Relevance Feedback:
Performance Study of Assisting Languages. In ACL 2010, July 2010, Uppsala, Sweden.
Raman, K., Udupa. R., Bhattacharyya. P, and Bhole, A. On Improving PseudoRelevance
Feedback Using Pseudo-Irrelevant Documents. In ECIR 2010, March 2010,
Edinburgh, Scotland.
Workshop
Publications
Raman, K.and Joachims, T. Bayesian Ordinal Peer Grading. In: NIPS-HPML 2014 -
Human Propelled Machine Learning, December 2014, Montreal, QC, Canada.
Raman, K., Shivaswamy, P. and Joachims, T. Structured Prediction via Coactive Learning.
In: IUI-IMLW 2013 - Interactive Machine Learning Workshop, March 2013, Santa
Monica, CA, USA.
Raman, K., Shivaswamy, P. and Joachims, T. Learning to Diversify from Implicit
Feedback. In: WSDM-DDR-2012 - 2nd Workshop on Diversity in Document Retrieval,
February 2012, Seattle, WA, USA.
Other
Publications
Raman, K., Joachims. T. and Shivaswamy, P. Structured Learning of Two-Level Dynamic
Rankings., ArXiv, August 2011.
Raman, K.. Improving Pseudo-Relevance Feedback. Bachelor’s thesis, Indian Institute
of Technology - Bombay, May 2010.
2 of 6
Papers in
Submission
Raman, K., Dahlquist, J., Dalton, J., Gabriloivch, E., Murphy, K. and Zhang, W.,
RAKE: Robust Automatic Knowledge Extraction from Semi-Structured Web Pages.
In Submission to WWW-2015.
Patents
Published
• Prediction and Information Retrieval for Intrinsically Diverse Sessions
Inventors: Karthik Raman, Paul N. Bennett and Kevyn B Collins-Thompson
Filed: February, 2013. Published: August, 2014
Publication number: US-2014-0244610-A1.
Invited Talks • “By the User, For the User, With the Learning System”: Learning From User
Interactions
• NIPS 2014 Workshop on Personalization: Methods and Applications, Montreal,
QC, Canada, December 2014
• Los Alamos National Laboratories, Los Alamos, NM, March 2014
• Cornell University, Ithaca, NY, March 2014
• Ordinal Peer Grading
• Cornell University, Ithaca, NY, May 2014
• Learning to Diversify From Implicit Feedback
• Microsoft Bing, Redmond, WA, June 2012
• Cornell University, Ithaca, NY, September 2012
• Structured Learning of Diverse Rankings
• Yahoo! Research, Santa Clara, CA, August 2011
• Cornell University, Ithaca, NY, October 2011
Teaching
Experience
• Teaching Assistant for CS 4780/5780: Machine Learning Fall 2014
• Instructor: Thorsten Joachims
• Responsible for final projects and peer grading.
• Teaching Assistant for CS 4780/5780: Machine Learning Fall 2013
• Instructor: Thorsten Joachims
• Responsible for assignments and final projects.
• Awarded Teaching Assistant Excellence award for performance.
• Taught lecture of Machine Learning (CS 4780/5780) Fall 2012
• Lectured on overfitting, model validation and hypothesis testing.
• Head Teaching Assistant for CS 4780/5780: Machine Learning Fall 2011
• Instructor: Thorsten Joachims
• Responsible for assignments and final projects.
• Awarded Teaching Assistant Excellence award for performance.
• Grader for CS 6780: Advanced Machine Learning Fall 2010
• Instructor: Ashutosh Saxena
研究兴趣
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