Learning Rate Free Sampling in Constrained Domains

24 May 2023

Papers citing "Learning Rate Free Sampling in Constrained Domains"

9 / 9 papers shown

Title
Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds Daniel Dodd Louis Sharrock Christopher Nemeth 36 0 0 04 Jun 2024
Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting Louis Sharrock Daniel Dodd Christopher Nemeth 22 6 0 24 May 2023
Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference R. Grumitt B. Dai U. Seljak BDL 16 12 0 27 May 2022
The Mirror Langevin Algorithm Converges with Vanishing Bias Ruilin Li Molei Tao Santosh Vempala Andre Wibisono 37 35 0 24 Sep 2021
Projected Stein Variational Gradient Descent Peng Chen Omar Ghattas BDL 50 68 0 09 Feb 2020
A Stein variational Newton method Gianluca Detommaso Tiangang Cui Alessio Spantini Youssef Marzouk Robert Scheichl 53 114 0 08 Jun 2018
Measuring Sample Quality with Kernels Jackson Gorham Lester W. Mackey 78 222 0 06 Mar 2017
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann A. Gretton BDL 99 324 0 09 Feb 2016
MCMC using Hamiltonian dynamics Radford M. Neal 137 3,260 0 09 Jun 2012