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Streaming Algorithms for Ellipsoidal Approximation of Convex Polytopes
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We give efficient deterministic one-pass streaming algorithms for finding an ellipsoidal approximation of a symmetric convex polytope. The algorithms are near-optimal in that their approximation factors differ from that of the optimal offline solution only by a factor sub-logarithmic in the aspect ratio of the polytope.
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A Geometric Approach to Problems in Optimization and Data Science
The thesis provides near-optimal streaming ellipsoidal rounding algorithms, block Lewis weight sparsification, dueling optimization with monotone adversaries, PAC analysis of backdoors, and spectral clustering robustn...
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