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Srinivasan B V, Duraiswami R.  2011.  Kernelized Renyi distance for subset selection and similarity scoring. Technical Reports of the Computer Science Department.
Srinivasan BV, Duraiswami R.  2009.  Scaling kernel machine learning algorithm via the use of GPUs. GPU Technology Conference.
Srinivasan A.  1997.  Improving the discrepancy bound for sparse matrices: better approximations for sparse lattice approximation problems. Proceedings of the eighth annual ACM-SIAM symposium on Discrete algorithms. :692-701.
Srinivasan A.  2006.  Review of "The Random Projection Method by Santosh Vempala". SIGACT News. 37(4):41-43.
Srinivasan A.  2008.  Budgeted Allocations in the Full-Information Setting. Approximation, Randomization and Combinatorial Optimization. Algorithms and TechniquesApproximation, Randomization and Combinatorial Optimization. Algorithms and Techniques. 5171:247-253.
Srinivasan A.  2008.  Improved algorithmic versions of the Lovász Local Lemma. Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms. :611-620.
Srinivasan B V, Duraiswami R.  2010.  Random sampling for estimating the performance of fast summations. Technical Reports of the Computer Science Department.
Srinivasan A.  2001.  New approaches to covering and packing problems. Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms. :567-576.
Srinivasan A.  2008.  A note on the distribution of the number of prime factors of the integers. Information Processing Letters. 109(2):133-135.
Srinivasan A.  2000.  The value of strong inapproximability results for clique. Proceedings of the thirty-second annual ACM symposium on Theory of computing. :144-152.
Srinivasan A.  2001.  Distributions on level-sets with applications to approximation algorithms. 42nd IEEE Symposium on Foundations of Computer Science, 2001. Proceedings. :588-597.
Srinivasan A.  1995.  Improved approximations of packing and covering problems. Proceedings of the twenty-seventh annual ACM symposium on Theory of computing. :268-276.
Srinivasan A.  2007.  Randomized Algorithms and Probabilistic Analysis in Wireless Networking. Stochastic Algorithms: Foundations and ApplicationsStochastic Algorithms: Foundations and Applications. 4665:54-57.
Srinivasan A.  1999.  Approximation algorithms via randomized rounding: a survey. Lectures on Approximation and Randomized Algorithms (M. Karonski and HJ Promel, editors), Series in Advanced Topics in Mathematics, Polish Scientific Publishers PWN. :9-71.
Srinivasan BV, Garcia-Romero D, Zotkin DN, Duraiswami R.  2011.  Kernel partial least squares for speaker recognition. Twelfth Annual Conference of the International Speech Communication Association.
Srinivasan A.  2000.  Low-discrepancy sets for high-dimensional rectangles: a survey. Bulletin of the EATCS. 70:67-76.
Srinivasan A.  1992.  A Generalization of Brooks' Theorem. Computer Science Technical Reports.
Srinivasan A.  2010.  Concentration of measure for the analysis of randomized algorithms by Devdatt P. Dubhashi and Alessandro Panconesi Cambridge University Press, 2009. SIGACT News. 41(1):28-30.
Srinivasan BV, Duraiswami R, Gumerov NA.  2010.  Fast matrix-vector product based fgmres for kernel machines. Copper Mountain Conference on Iterative Methods. 2
Srinivasan A.  1997.  Improved approximations for edge-disjoint paths, unsplittable flow, and related routing problems. , 38th Annual Symposium on Foundations of Computer Science, 1997. Proceedings. :416-425.
Srinivasan A.  2007.  Approximation algorithms for stochastic and risk-averse optimization. Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms. :1305-1313.
Srinivasan BV, Zotkin DN, Duraiswami R.  2011.  Partial least squares based speaker recognition system. Snowbird Learning Workshop.
Srinivasan A, Teo C-P.  1997.  A constant-factor approximation algorithm for packet routing, and balancing local vs. global criteria. Proceedings of the twenty-ninth annual ACM symposium on Theory of computing. :636-643.
Srinivasan A.  1993.  Techniques for probabilistic analysis and randomness-efficient computation. Computer Science Technical Reports, Cornell University.
Srinivasan A, Zuckerman D.  1994.  Computing with very weak random sources. , 35th Annual Symposium on Foundations of Computer Science, 1994 Proceedings. :264-275.

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