Punlag A Randomized Rounding Algorithm For Sparse Pca

By Editorial Team · October 2, 2026 · 6 min read

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A Greedy Anytime Algorithm for Sparse PCA Update
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Details Subexponential-Time Algorithms for Sparse PCA | AISC News
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EE5120 Deflation Methods for Sparse PCA
EE5120 Deflation Methods for Sparse PCA
20161229 Linear Programming Relaxation Set Cover Randomized Rounding
20161229 Linear Programming Relaxation Set Cover Randomized Rounding
Santanu Dey: Solving SDPs by using sparse PCA
Santanu Dey: Solving SDPs by using sparse PCA
Lecture 04: Random sampling and randomized rounding of LPs
Lecture 04: Random sampling and randomized rounding of LPs
AISTATS 2012: Minimax Rates of Estimation for Sparse PCA in High Dimensions
AISTATS 2012: Minimax Rates of Estimation for Sparse PCA in High Dimensions
On the Approximability of Sparse PCA
On the Approximability of Sparse PCA
Sparse PCA: algorithms, adversarial perturbations and certificates
Sparse PCA: algorithms, adversarial perturbations and certificates
Randomized Rounding for the Largest j-Simplex Problem
Randomized Rounding for the Largest j-Simplex Problem
A Randomized Rounding Approach for Symmetric TSP - Mohit Singh
A Randomized Rounding Approach for Symmetric TSP - Mohit Singh
Optimal Average-Case Reductions to Sparse PCA: From Weak Assumptions to Strong Hardness
Optimal Average-Case Reductions to Sparse PCA: From Weak Assumptions to Strong Hardness
Randomized Approximation - Intro to Theoretical Computer Science
Randomized Approximation - Intro to Theoretical Computer Science

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Last Updated: October 2, 2026

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Sparse PCA: ConGradU Update
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Summary

Eugenia-Maria Kontopoulou presents her research on a Speaker(s): Alex Wein Facilitator(s): Nour Fahmy Find the recording, slides, and more info at ... Summary of a paper by Luss and Tebulle. This video is done as a part of EE5120 : Applied Linear Algebra at IITM. Deep Learning and Combinatorial Optimization 2021 "Solving SDPs by using Minimax Rates of Estimation for Author: Siu On Chan, Dimitris Papailliopoulos, Aviad Rubinstein. Tommaso d'Orsi (ETH Zurich); Pravesh K. Kothari (CMU); Gleb Novikov (ETH Zurich); David Steurer (ETH Zurich) The maximum volume j-simplex problem asks to compute the j-dimensional simplex of maximum volume inside the convex hull of ... Mohit Singh McGill University March 7, 2011 We show a (3/2-\epsilon)-approximation Optimal Average-Case Reductions to This video is part of an online course, Intro to Theoretical Computer Science. the course here: ...

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