Visible to the public Biblio

Filters: Author is Weicong Ding  [Clear All Filters]
2018-05-27
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama, W. Clem Karl.  2013.  Sensing-Aware Kernel SVM. CoRR. abs/1312.0512
Weicong Ding, Prakash Ishwar, Mohammad H. Rohban, Venkatesh Saligrama.  2013.  Necessary and Sufficient Conditions for Novel Word Detection in Separable Topic Models. CoRR. abs/1310.7994
Weicong Ding, Mohammad Hossein Rohban, Prakash Ishwar, Venkatesh Saligrama.  2013.  Topic Discovery through Data Dependent and Random Projections. Proceedings of the 30th International Conference on Machine Learning, {ICML} 2013, Atlanta, GA, USA, 16-21 June 2013. 28:1202–1210.
Weicong Ding, Mohammad H. Rohban, Prakash Ishwar, Venkatesh Saligrama.  2013.  A new geometric approach to latent topic modeling and discovery. {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2013, Vancouver, BC, Canada, May 26-31, 2013. :5568–5572.
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama.  2013.  Dynamic topic discovery through sequential projections. 2013 Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, November 3-6, 2013. :1100–1104.
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama.  2014.  A Topic Modeling Approach to Ranking. CoRR. abs/1412.3705
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama, W. Clem Karl.  2014.  Sensing-aware kernel SVM. {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2014, Florence, Italy, May 4-9, 2014. :2947–2951.
Weicong Ding, Mohammad H. Rohban, Prakash Ishwar, Venkatesh Saligrama.  2014.  Efficient Distributed Topic Modeling with Provable Guarantees. Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, {AISTATS} 2014, Reykjavik, Iceland, April 22-25, 2014. 33:167–175.
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama.  2015.  Necessary and Sufficient Conditions and a Provably Efficient Algorithm for Separable Topic Discovery. CoRR. abs/1508.05565
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama.  2015.  Learning Mixed Membership Mallows Models from Pairwise Comparisons. CoRR. abs/1504.00757
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama.  2015.  Most large topic models are approximately separable. 2015 Information Theory and Applications Workshop, {ITA} 2015, San Diego, CA, USA, February 1-6, 2015. :199–203.
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama.  2015.  Learning shared rankings from mixtures of noisy pairwise comparisons. 2015 {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2015, South Brisbane, Queensland, Australia, April 19-24, 2015. :5446–5450.
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama.  2015.  A Topic Modeling Approach to Ranking. Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, {AISTATS} 2015, San Diego, California, USA, May 9-12, 2015. 38
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama.  2016.  A Provably Efficient Algorithm for Separable Topic Discovery. J. Sel. Topics Signal Processing. 10:712–725.