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Lavanya Sita Tekumalla
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2010 – 2019
- 2018
- [c5]Vivek Sembium
, Rajeev Rastogi, Lavanya Sita Tekumalla, Atul Saroop:
Bayesian Models for Product Size Recommendations. WWW 2018: 679-687 - 2017
- [j1]Lavanya Sita Tekumalla, Vaibhav Rajan
Vine copulas for mixed data : multi-view clustering for mixed data beyond meta-Gaussian dependencies. Mach. Learn. 106(9-10): 1331-1357 (2017) - 2016
- [c4]Lavanya Sita Tekumalla, Chiranjib Bhattacharyya:
Copula-HDP-HMM: Non-parametric Modeling of Temporal Multivariate Data for I/O Efficient Bulk Cache Preloading. SDM 2016: 774-782 - [c3]Lavanya Sita Tekumalla, Sharmistha Jat:
IISCNLP at SemEval-2016 Task 2: Interpretable STS with ILP based Multiple Chunk Aligner. SemEval@NAACL-HLT 2016: 790-795 - [i4]Lavanya Sita Tekumalla, Sharmistha Jat:
IISCNLP at SemEval-2016 Task 2: Interpretable STS with ILP based Multiple Chunk Aligner. CoRR abs/1605.01194 (2016) - 2015
- [c2]Lavanya Sita Tekumalla, Chiranjib Bhattacharyya:
Mining Block I/O Traces for Cache Preloading with Sparse Temporal Non-parametric Mixture of Multivariate Poisson. SDM 2015: 882-890 - [i3]Lavanya Sita Tekumalla, Priyanka Agrawal, Indrajit Bhattacharya:
Nested Hierarchical Dirichlet Processes for Multi-Level Non-Parametric Admixture Modeling. CoRR abs/1508.06446 (2015) - 2014
- [i2]Lavanya Sita Tekumalla, Chiranjib Bhattacharyya:
Mining Block I/O Traces for Cache Preloading with Sparse Temporal Non-parametric Mixture of Multivariate Poisson. CoRR abs/1410.3463 (2014) - [i1]Lavanya Sita Tekumalla, Elaine Cohen:
Reverse Engineering Point Clouds to Fit Tensor Product B-Spline Surfaces by Blending Local Fits. CoRR abs/1411.5993 (2014) - 2013
- [c1]Priyanka Agrawal, Lavanya Sita Tekumalla, Indrajit Bhattacharya:
Nested Hierarchical Dirichlet Process for Nonparametric Entity-Topic Analysis. ECML/PKDD (2) 2013: 564-579
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