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Kaushik Sinha
2010 – today
- 2013
[i4]Sanjoy Dasgupta, Kaushik Sinha: Randomized partition trees for exact nearest neighbor search. CoRR abs/1302.1948 (2013)- 2012
- [c9]Kamalika Chaudhuri, Anand D. Sarwate, Kaushik Sinha: Near-optimal Differentially Private Principal Components. NIPS 2012: 998-1006
- [i3]Kamalika Chaudhuri, Anand D. Sarwate, Kaushik Sinha: Near-Optimal Algorithms for Differentially-Private Principal Components. CoRR abs/1207.2812 (2012)
- 2010
- [c8]Mikhail Belkin, Kaushik Sinha: Toward Learning Gaussian Mixtures with Arbitrary Separation. COLT 2010: 407-419
- [c7]
- [i2]Mikhail Belkin, Kaushik Sinha: Polynomial Learning of Distribution Families. CoRR abs/1004.4864 (2010)
2000 – 2009
- 2009
- [c6]Kaushik Sinha, Mikhail Belkin: Semi-supervised Learning using Sparse Eigenfunction Bases. NIPS 2009: 1687-1695
- [i1]Mikhail Belkin, Kaushik Sinha: Learning Gaussian Mixtures with Arbitrary Separation. CoRR abs/0907.1054 (2009)
- 2007
- [j1]Alfredo Garcia, Stephen D. Patek, Kaushik Sinha: A Decentralized Approach to Discrete Optimization via Simulation: Application to Network Flow. Operations Research 55(4): 717-732 (2007)
- [c5]Kaushik Sinha, Mikhail Belkin: The Value of Labeled and Unlabeled Examples when the Model is Imperfect. NIPS 2007
- 2006
- [c4]Kaushik Sinha, Ruoming Jin, Gagan Agrawal, Helen Piontkivska: Exploratory Tools for FollowUp Studies to Microarray Experiments. BIBE 2006: 81-85
- 2005
- [c3]Kaushik Sinha, Xuan Zhang, Ruoming Jin, Gagan Agrawal: Using Data Mining Techniques to Learn Layouts of Flat-File Biological Datasets. BIBE 2005: 177-184
- [c2]Kaushik Sinha, Xuan Zhang, Ruoming Jin, Gagan Agrawal: Learning Layouts of Biological Datasets Semi-automatically. DILS 2005: 31-45
- [c1]Ruoming Jin, Kaushik Sinha, Gagan Agrawal: Simultaneous optimization of complex mining tasks with a knowledgeable cache. KDD 2005: 600-605
Coauthor Index
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last updated on 2013-04-06 23:24 CEST by the dblp team