Variance reduction properties of the reparameterization trick

Variance reduction properties of the reparameterization trick

27 September 2018

Scott A. Sisson

Papers citing "Variance reduction properties of the reparameterization trick"

14 / 14 papers shown

Title
Learning the Regularization Strength for Deep Fine-Tuning via a Data-Emphasized Variational Objective Ethan Harvey Mikhail Petrov Michael C. Hughes 45 0 0 28 Jan 2025
Bayesian Experimental Design via Contrastive Diffusions Jacopo Iollo Christophe Heinkelé Pierre Alliez Florence Forbes 35 0 0 15 Oct 2024
You Only Accept Samples Once: Fast, Self-Correcting Stochastic Variational Inference Dominic B. Dayta TPM BDL 35 0 0 05 Jun 2024
Demystifying SGD with Doubly Stochastic Gradients Kyurae Kim Joohwan Ko Yian Ma Jacob R. Gardner 53 0 0 03 Jun 2024
Provably Scalable Black-Box Variational Inference with Structured Variational Families Joohwan Ko Kyurae Kim W. Kim Jacob R. Gardner BDL 35 2 0 19 Jan 2024
Provable convergence guarantees for black-box variational inference Justin Domke Guillaume Garrigos Robert Mansel Gower 33 18 0 04 Jun 2023
Parameter Estimation in DAGs from Incomplete Data via Optimal Transport Vy Vo Trung Le L. Vuong He Zhao Edwin V. Bonilla Dinh Q. Phung OT 34 4 0 25 May 2023
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula Eli Bronstein S. Srinivasan Supratik Paul Aman Sinha Matthew O'Kelly Payam Nikdel Shimon Whiteson OffRL 8 18 0 02 Dec 2022
Manifold Gaussian Variational Bayes on the Precision Matrix M. Magris M. Shabani Alexandros Iosifidis 39 2 0 26 Oct 2022
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving Eli Bronstein Mark Palatucci Dominik Notz Brandyn White Alex Kuefler ... Punit Shah Evan Racah Benjamin Frenkel Shimon Whiteson Drago Anguelov 50 58 0 18 Oct 2022
Global convergence of optimized adaptive importance samplers Ömer Deniz Akyildiz 34 7 0 02 Jan 2022
Imbalanced Continual Learning with Partitioning Reservoir Sampling C. Kim Jinseo Jeong Gunhee Kim CLL 32 101 0 08 Sep 2020
Monte Carlo Gradient Estimation in Machine Learning S. Mohamed Mihaela Rosca Michael Figurnov A. Mnih 45 400 0 25 Jun 2019
Gaussian variational approximation for high-dimensional state space models M. Quiroz David J. Nott Robert Kohn 32 40 0 24 Jan 2018