Sampling from Arbitrary Functions via PSD Models

20 October 2021

Papers citing "Sampling from Arbitrary Functions via PSD Models"

9 / 9 papers shown

Title
Squared families: Searching beyond regular probability models Russell Tsuchida Jiawei Liu Cheng Soon Ong Dino Sejdinovic 44 0 0 27 Mar 2025
Asymptotically Optimal Change Detection for Unnormalized Pre- and Post-Change Distributions Arman Adibi Sanjeev R. Kulkarni H. V. Poor T. Banerjee Vahid Tarokh 45 0 0 18 Oct 2024
Closed-form Filtering for Non-linear Systems Théophile Cantelobre C. Ciliberto Benjamin Guedj Alessandro Rudi 13 0 0 15 Feb 2024
Kernelised Normalising Flows Eshant English Matthias Kirchler C. Lippert TPM 47 0 0 27 Jul 2023
Squared Neural Families: A New Class of Tractable Density Models Russell Tsuchida Cheng Soon Ong Dino Sejdinovic TPM 28 11 0 22 May 2023
Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models Anant Raj Umut Simsekli Alessandro Rudi DiffM 31 1 0 30 Mar 2023
Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation David Holzmüller Francis R. Bach 36 8 0 06 Mar 2023
Approximation of optimization problems with constraints through kernel Sum-Of-Squares Pierre-Cyril Aubin-Frankowski Alessandro Rudi 23 2 0 16 Jan 2023
PSD Representations for Effective Probability Models Alessandro Rudi C. Ciliberto TPM 17 21 0 30 Jun 2021