
On Accelerating Distributed Convex Optimizations
This paper studies a distributed multiagent convex optimization problem...
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Generalized AdaGrad (GAdaGrad) and Adam: A StateSpace Perspective
Accelerated gradientbased methods are being extensively used for solvin...
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Robustness of Iteratively PreConditioned GradientDescent Method: The Case of Distributed Linear Regression Problem
This paper considers the problem of multiagent distributed linear regre...
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Accelerating Distributed SGD for Linear Regression using Iterative PreConditioning
This paper considers the multiagent distributed linear leastsquares pr...
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Iterative PreConditioning for Expediting the GradientDescent Method: The Distributed Linear LeastSquares Problem
This paper considers the multiagent linear leastsquares problem in a s...
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Iterative PreConditioning to Expedite the GradientDescent Method
Gradientdescent method is one of the most widely used and perhaps the m...
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A Kalman Filter Approach for Biomolecular Systems with Noise Covariance Updating
An important part of system modeling is determining parameter values, pa...
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Kushal Chakrabarti
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