skip to main content

Explore Research Products in the NSF-PAR

  • Home
  • Search Results
  • Page 1 of 2

Search for: All records

Creators/Authors contains: "Krishnamurthy, Akshay"

Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).
What is a DOI Number?

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

  1. ; ; ; ( , Journal of machine learning research)
    Free, publicly-accessible full text available October 1, 2024
  2. ; ; ( , Operations Research)
    Assortment optimization with choice model estimation and learning has been studied extensively in the data-driven revenue management literature. Existing methods and analysis, however, do not take into consideration the fact that some customers arriving at certain time periods might exhibit outlier purchasing behaviors. The work of Chen et al. studies dynamic assortment optimization in the presence of outlier customers modeled by an eps-contamination model. The impact of outlier customers on the revenue performance of an algorithm is analyzed and discussed. 
    more » « less
    Free, publicly-accessible full text available August 21, 2024
  3. ; ; ; ; ; ( , International Conference on Representation Learning)
    Free, publicly-accessible full text available May 1, 2024
  4. ; ; ; ; ; ; ; ( , Proceedings of Machine Learning Research)
    Accepted Manuscript Full Text Available
  5. ; ; ; ( , IEEE Transactions on Information Theory)
    null (Ed.)
    Full Text Available 
  6. ; ; ( , Journal of machine learning research)
    Accepted Manuscript Full Text Available
  7. ; ; ( , 32nd International Conference on Algorithmic Learning Theory)
    null (Ed.)
    Accepted Manuscript Full Text Available
  8. ; ; ; ( , IEEE transactions on information theory)
    Accepted Manuscript Full Text Available
  9. ; ; ; ( , Advances in neural information processing systems)
    Accepted Manuscript Full Text Available
  10. ; ; ( , Conference on Learning Theory)
    null (Ed.)
    Accepted Manuscript Full Text Available