Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural Transport

3 February 2022

Papers citing "Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural Transport"

7 / 7 papers shown

Title
Inclusive KL Minimization: A Wasserstein-Fisher-Rao Gradient Flow Perspective Jia-Jie Zhu 68 1 0 31 Oct 2024
Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows A. Cabezas Louis Sharrock Christopher Nemeth 34 1 0 23 May 2024
VISA: Variational Inference with Sequential Sample-Average Approximations Heiko Zimmermann C. A. Naesseth Jan-Willem van de Meent 33 1 0 14 Mar 2024
A Variational Perspective on Generative Flow Networks Heiko Zimmermann Fredrik Lindsten Jan-Willem van de Meent C. A. Naesseth 22 32 0 14 Oct 2022
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients Kyurae Kim Jisu Oh Jacob R. Gardner Adji Bousso Dieng Hongseok Kim BDL 32 8 0 13 Jun 2022
Local-Global MCMC kernels: the best of both worlds S. Samsonov E. Lagutin Marylou Gabrié Alain Durmus A. Naumov Eric Moulines 19 13 0 04 Nov 2021
Markovian Score Climbing: Variational Inference with KL(p\|\|q) C. A. Naesseth Fredrik Lindsten David M. Blei 123 54 0 23 Mar 2020