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Online Learning and Simulation Based Algorithms for Stochastic Optimization
(2018-03-07)
In many optimization problems, the relationship between the objective and parameters is not known. The objective function itself may be stochastic such as a long-run average over some random cost samples. In such cases ...
Reconstruction of 3D Neuronal Structures
(2018-03-17)
Microscopic analysis of biological structures can be significantly enhanced by representing the object of study as a three-dimensional entity. To assist neurobiologists investigate the molecular mechanisms involved in ...
Construction of Secure and Efficient Private Set Intersection Protocol
(2018-03-17)
Private set intersection(PSI) is a two party protocol where both parties possess a private set and at the end of the protocol, one party (client) learns the intersection while other party (server) learns nothing. Motivated ...
Improving the Precision of a Scalable Demand-Driven Null- Dereference Verification for Java
(2018-03-19)
The problem addressed in this thesis is sound, scalable, demand-driven null-dereference verification for Java programs via over-approximated weakest preconditions analysis. The base version of this analysis having been ...
Integrated Scheduling For Clustered VLIW Processors
(Indian Institute of Science, 2005-11-25)
Clustered architecture processors are preferred for embedded systems because centralized register file architectures scale poorly in terms of clock rate, chip area, and power consumption. Scheduling for clustered architectures ...
Parameterized Complexity of Maximum Edge Coloring in Graphs
(2018-03-09)
The classical graph edge coloring problem deals in coloring the edges of a given graph with minimum number of colors such that no two adjacent edges in the graph, get the same color in the proposed coloring. In the following ...
An Optimizing Code Generator for a Class of Lattice-Boltzmann Computations
(2018-03-09)
Lattice-Boltzmann method(LBM), a promising new particle-based simulation technique for complex and multiscale fluid flows, has seen tremendous adoption in recent years in computational fluid dynamics. Even with a ...
Optimization Algorithms for Deterministic, Stochastic and Reinforcement Learning Settings
(2018-05-30)
Optimization is a very important field with diverse applications in physical, social and biological sciences and in various areas of engineering. It appears widely in ma-chine learning, information retrieval, regression, ...
Incentive Design for Crowdfunding and Crowdsourcing Markets
(2018-05-23)
With the ever-increasing trend in the number of social interactions getting intermediated by technology (the world wide web) as the backdrop, this thesis focuses on the design of mechanisms for online communities (crowds) ...

