Training Neural Networks for Likelihood/Density Ratio Estimation

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Training Neural Networks for Likelihood/Density Ratio Estimation

1 November 2019

Kalliopi Basioti

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Papers citing "Training Neural Networks for Likelihood/Density Ratio Estimation"

19 / 19 papers shown

Title
Sequential Change Point Detection via Denoising Score Matching Wenbin Zhou Liyan Xie Zhigang Peng Shixiang Zhu 97 0 0 22 Jan 2025
Uncertainty separation via ensemble quantile regression Navid Ansari Hans-Peter Seidel Vahid Babaei UD UQCV 132 0 0 18 Dec 2024
Embed and Emulate: Contrastive representations for simulation-based inference Ruoxi Jiang Peter Y. Lu Rebecca Willett 63 1 0 27 Sep 2024
Data-Driven Estimation of Conditional Expectations, Application to Optimal Stopping and Reinforcement Learning G. Moustakides OffRL 16 0 0 18 Jul 2024
Quickest Change Detection with Post-Change Density Estimation Yuchen Liang Venugopal V. Veeravalli 114 1 0 25 Nov 2023
Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization Alejandro de la Concha Nicolas Vayatis Argyris Kalogeratos 59 1 0 03 Nov 2023
Bridging the Gap Between Variational Inference and Wasserstein Gradient Flows Mingxuan Yi Song Liu DRL 76 8 0 31 Oct 2023
Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty Sets Liyan Xie Yuchen Liang Venugopal V. Veeravalli 58 2 0 28 Sep 2023
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 173 5 0 19 May 2023
Learning Likelihood Ratios with Neural Network Classifiers Shahzar Rizvi M. Pettee Benjamin Nachman 99 14 0 17 May 2023
Toward Asymptotic Optimality: Sequential Unsupervised Regression of Density Ratio for Early Classification Akinori F. Ebihara Taiki Miyagawa K. Sakurai Hitoshi Imaoka 51 2 0 20 Feb 2023
MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows Mingxuan Yi Zhanxing Zhu Song Liu GAN 97 14 0 02 Feb 2023
Quickest Change Detection with Leave-one-out Density Estimation Yuchen Liang Venugopal V. Veeravalli 57 4 0 01 Nov 2022
Neural network-based CUSUM for online change-point detection Tingnan Gong Junghwan Lee Xiuyuan Cheng Yao Xie 75 1 0 31 Oct 2022
Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions Daniel D. Johnson Ayoub El Hanchi Chris J. Maddison SSL 98 24 0 04 Oct 2022
Statistical Hypothesis Testing Based on Machine Learning: Large Deviations Analysis P. Braca L. Millefiori A. Aubry S. Maranò A. De Maio P. Willett 79 12 0 22 Jul 2022
Approximate Data Deletion in Generative Models Zhifeng Kong Scott Alfeld MU 57 4 0 29 Jun 2022
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization Taiki Miyagawa Akinori F. Ebihara 50 3 0 28 May 2021
Sequential (Quickest) Change Detection: Classical Results and New Directions Liyan Xie Shaofeng Zou Yao Xie Venugopal V. Veeravalli AI4TS 83 100 0 09 Apr 2021