Proof, beliefs, and algorithms through the lens of sum-of-squares The Unique Games and Sum of Squares: A love hate relationship When computation is involved, very simple objects can sometimes give rise to very complicat

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Proof, beliefs, and algorithms through the lens of sum-of-squares 1 Higher-degree integrality gaps: from computational hardness to limitations of sum-of-squares

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Proof, beliefs, and algorithms through the lens of sum-of-squares 1 Maximum cut and related problems Figure 1: The graph of Renato Paes

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Proof, beliefs, and algorithms through the lens of sum-of-squares 1 Tensor decomposition via sum of squares One of the most basic tools in data analysis is least squares regression.

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SUM OF SQUARES CERTIFICATES FOR CONTAINMENT OF H-POLYTOPES IN V-POLYTOPES KAI KELLNER AND THORSTEN THEOBALD Abstract. Given an H-polytope P and a V-polytope Q, the decision problem whether P is contained in Q is co-NP-co

Source URL: www.math.uni-frankfurt.de

Efficient algorithms for sequence segmentation Evimaria Terzi ∗ Panayiotis Tsaparas † The error in this approximate representation is measured using some error function, e.g. the sum of squares. Different

Source URL: www.cs.uoi.gr

• Systems science
• Mathematics
• Image segmentation
• Dynamic programming
• Algorithm
• Systems theory
• Approximation algorithm
• Time-series segmentation
• Graph cuts in computer vision

Introduction to Statistics by Khan Academy The Average (covers mean, median and mode) https://www.youtube.com/watch?v=uhxtUt_-GyM&list=PLGcvh64d5a4HfGkm8O4SIqbrS5HFaaM3B Sample vs. Population Mean https://www.youtube.com

Source URL: stemgateway.unm.edu

• Statistics
• Regression analysis
• Least squares
• Analysis of variance
• Design of experiments
• Variance
• Total sum of squares
• Coefficient of determination
• Draft:A Billion and One Voices

JMLR: Workshop and Conference Proceedings vol 40:1–51, 2015 Tensor principal component analysis via sum-of-squares proofs Sam Hopkins Jonathan Shi David Steurer

Source URL: jmlr.org

• Algebra
• Mathematics
• Linear algebra
• Multivariate statistics
• Matrix theory
• Tensors
• Real algebraic geometry
• Non-negative matrix factorization
• Matrix
• Higher-order singular value decomposition
• Eigenvalues and eigenvectors
• Principal component analysis

January 21, 2011 8:45 WSPCAADA S1793536910000574 Advances in Adaptive Data Analysis Vol. 2, No–462

Source URL: rcada.ncu.edu.tw

• Regression analysis
• Statistics
• Linear regression
• Multicollinearity
• Logistic regression
• Ordinary least squares
• Nonlinear regression
• Residual sum of squares
• Data transformation
• Multinomial logistic regression
• Dummy variable

Least Squares Stephen Boyd EE103 Stanford University November 4, 2015

Source URL: stanford.edu

• Regression analysis
• Least squares
• Estimation theory
• Mathematical optimization
• Parametric statistics
• Residual sum of squares
• Ordinary least squares