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  • Convergence Analysis

Convergence Analysis

Dynamical systems approaches to solving time-varying convex optimization problem with inequality constraints

Publications

Optimization problems emerging in most of the real-world applications are dynamic, where either the objective function or the constraints change continuously over time. This paper proposes projected primal-dual dynamical …

Tags: Dynamic Optimization, Convergence Analysis

Robust Analysis of Almost Sure Convergence of Zeroth-Order Mirror Descent Algorithm

Publications

This letter presents an almost sure convergence of the zeroth-order mirror descent (ZOMD) algorithm. The algorithm admits non-smooth convex functions and a biased oracle which only provides noisy function value at any …

Tags: Zeroth-Order Optimization, Convergence Analysis, Concentration Inequality

Robust Analysis of Almost Sure Convergence of Zeroth-Order Mirror Descent Algorithm

Publications

This letter presents an almost sure convergence of the zeroth-order mirror descent (ZOMD) algorithm. The algorithm admits non-smooth convex functions and a biased oracle which only provides noisy function value at any …

Tags: Convex Optimization, Stochastic Optimization, Convergence Analysis

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Founded in 2024, the School brings together several faculty with expertise in various areas of Data Science and AI, to work together on impactful problems of direct relevance to the society.

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