WebStatistical inference with regularized optimal transport. Optimal transport (OT) is a versatile framework for comparing probabilit... 0 Ziv Goldfeld, et al. ∙. share. research. ∙ 12 months ago. WebMutual information (MI) [1] between two random variables is a non-negative value, which measures the dependency between the variables. It is equal to zero if and only if two random variables are independent, and higher values mean higher dependency. The function relies on nonparametric methods based on entropy estimation from k-nearest ...
Sliced Mutual Information: A Scalable Measure of Statistical...
WebMore from the Same Authors. 2024 Spotlight: Sliced Mutual Information: A Scalable Measure of Statistical Dependence » Ziv Goldfeld · Kristjan Greenewald 2024 Poster: Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances » Sloan Nietert · Ziv Goldfeld · Ritwik Sadhu · Kengo Kato tia the insurance application
ZIYU-DEEP/Awesome-Information-Bottleneck - GitHub
Webk-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension A Proofs of Results in the Main Text A.1 Proofs for Section 2.2 The HWI inequality of Otto and Villani [22] is a functional inequality relating the entropy (H), quadratic transportation cost (W), and Fisher information (I), all defined w.r.t. a suitable reference Web26 okt. 2024 · 🐤 🐤 Sliced Mutual Information: A Scalable Measure of Statistical Dependence Ziv Goldfeld, Kristjan Greenewald NeurIPS, 2024 (spotlight) 🐤 TImproving Mutual Information Estimation with Annealed and Energy-Based Bounds Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Lawrence Carin, Fan Li, Chenyang Tao ICLR, … WebWe also explore asymptotics of the population k-SMI as dimension grows, providing Gaussian approximation results with a residual that decays under appropriate moment bounds. Our theory is validated with numerical experiments and is applied to sliced InfoGAN, which altogether provide a comprehensive quantitative account of the … tia thats what a girl wants