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positive semidefinite

11 papers

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convex optimization (3) similarity matrix (2) positive semidefinite matrix (2) density estimation (2) similarity estimation (1) boosting algorithm (1) distance metric (1) weak learner (1) symbolic computation (1) portfolio optimization (1)

Papers

Convexity Certificates for Symbolic Tensor Expressions IJCAI 2024 Online estimation of similarity matrices with incomplete data UAI 2023 Convexity Certificates from Hessians NeurIPS 2022 Faster Kernel Matrix Algebra via Density Estimation ICML 2021 PSD Representations for Effective Probability Models NeurIPS 2021 On Valid Optimal Assignment Kernels and Applications to Graph Classification NeurIPS 2016 Estimating Jaccard Index with Missing Observations: A Matrix Calibration Approach NeurIPS 2015 GeNGA: A Generalization of Natural Gradient Ascent with Positive and Negative Convergence Results ICML 2014 Learning Connections in Financial Time Series ICML 2013 Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach NeurIPS 2012 Positive Semidefinite Metric Learning with Boosting NeurIPS 2009