Estimation Beyond Data Reweighting: Kernel Method of Moments

18 May 2023

Papers citing "Estimation Beyond Data Reweighting: Kernel Method of Moments"

7 / 7 papers shown

Title
Kernel Approximation of Fisher-Rao Gradient Flows Jia Jie Zhu Alexander Mielke 44 5 0 27 Oct 2024
Nonparametric Jackknife Instrumental Variable Estimation and Confounding Robust Surrogate Indices Aurélien F. Bibaut Nathan Kallus Apoorva Lal CML 26 0 0 20 Jun 2024
Geometry-Aware Instrumental Variable Regression Heiner Kremer Bernhard Schölkopf 24 0 0 19 May 2024
Analysis of Kernel Mirror Prox for Measure Optimization Pavel Dvurechensky Jia Jie Zhu 23 2 0 29 Feb 2024
Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces Viktor Stein Sebastian Neumayer Gabriele Steidl Nicolaj Rux 48 9 0 07 Feb 2024
Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel Paul Hagemann J. Hertrich Fabian Altekrüger Robert Beinert Jannis Chemseddine Gabriele Steidl 16 24 0 04 Oct 2023
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions Heiner Kremer Jia-Jie Zhu Krikamol Muandet Bernhard Schölkopf 30 8 0 11 Jul 2022