On Divergence Measures for Training GFlowNets

12 October 2024

Tiago da Silva

Eliezer de Souza da Silva

Diego Mesquita

BDL

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Papers citing "On Divergence Measures for Training GFlowNets"

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Title
Discrete Probabilistic Inference as Control in Multi-path Environments T. Deleu Padideh Nouri Nikolay Malkin Doina Precup Yoshua Bengio 151 30 0 15 Feb 2024
Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization Dinghuai Zhang Ricky Tian Qi Chen Cheng-Hao Liu Aaron C. Courville Yoshua Bengio 60 46 0 04 Oct 2023
Delta-AI: Local objectives for amortized inference in sparse graphical models Jean-Pierre Falet Hae Beom Lee Nikolay Malkin Chen Sun Dragos Secrieru Thomas Jiralerspong Dinghuai Zhang Guillaume Lajoie Yoshua Bengio 88 7 0 03 Oct 2023
Compositional Sculpting of Iterative Generative Processes Yixuan Wang Sebastiaan De Peuter Mingtong Zhang Vikas Garg Samuel Kaski Tommi Jaakkola DiffM 66 14 0 28 Sep 2023
GFlowNet-EM for learning compositional latent variable models J. E. Hu Nikolay Malkin Moksh Jain Katie Everett Alexandros Graikos Yoshua Bengio CoGe 73 40 0 13 Feb 2023
GFlowNets for AI-Driven Scientific Discovery Moksh Jain T. Deleu Jason S. Hartford Cheng-Hao Liu Alex Hernandez-Garcia Yoshua Bengio AI4CE 74 52 0 01 Feb 2023
Generative Augmented Flow Networks L. Pan Dinghuai Zhang Aaron Courville Longbo Huang Yoshua Bengio 151 47 0 07 Oct 2022
On predictive inference for intractable models via approximate Bayesian computation Marko Jarvenpaa J. Corander TPM 58 2 0 23 Mar 2022
Bayesian Structure Learning with Generative Flow Networks T. Deleu António Góis Chris C. Emezue M. Rankawat Simon Lacoste-Julien Stefan Bauer Yoshua Bengio BDL 83 155 0 28 Feb 2022
Gradient Estimation with Discrete Stein Operators Jiaxin Shi Yuhao Zhou Jessica Hwang Michalis K. Titsias Lester W. Mackey 78 23 0 19 Feb 2022
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation Emmanuel Bengio Moksh Jain Maksym Korablyov Doina Precup Yoshua Bengio 96 328 0 08 Jun 2021
Outcome-Driven Reinforcement Learning via Variational Inference Tim G. J. Rudner Vitchyr H. Pong R. McAllister Y. Gal Sergey Levine 64 20 0 20 Apr 2021
Stochastic Gradient Langevin Dynamics with Variance Reduction Zhishen Huang Stephen Becker 49 7 0 12 Feb 2021
VarGrad: A Low-Variance Gradient Estimator for Variational Inference Lorenz Richter Ayman Boustati Nikolas Nusken Francisco J. R. Ruiz Ömer Deniz Akyildiz DRL 188 51 0 20 Oct 2020
Provable Gradient Variance Guarantees for Black-Box Variational Inference Justin Domke DRL 44 21 0 19 Jun 2019
Rao-Blackwellized Stochastic Gradients for Discrete Distributions Runjing Liu Jeffrey Regier Nilesh Tripuraneni Michael I. Jordan Jon D. McAuliffe 52 32 0 10 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 238 7,642 0 01 Oct 2018
Semi-Implicit Variational Inference Mingzhang Yin Mingyuan Zhou BDL 77 128 0 28 May 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review Sergey Levine AI4CE BDL 78 672 0 02 May 2018
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference Geoffrey Roeder Yuhuai Wu David Duvenaud BDL 107 201 0 27 Mar 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 405 2,463 0 10 Mar 2017
Operator Variational Inference Rajesh Ranganath Jaan Altosaar Dustin Tran David M. Blei 48 116 0 27 Oct 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 269 4,787 0 04 Jan 2016
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 268 1,245 0 01 Sep 2015
Empirical Evaluation of Rectified Activations in Convolutional Network Bing Xu Naiyan Wang Tianqi Chen Mu Li 135 2,910 0 05 May 2015
Automatic differentiation in machine learning: a survey A. G. Baydin Barak A. Pearlmutter Alexey Radul J. Siskind PINN AI4CE ODL 158 2,803 0 20 Feb 2015
Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma Danilo Jimenez Rezende S. Mohamed Max Welling GAN SSL BDL 85 2,740 0 20 Jun 2014
Black Box Variational Inference Rajesh Ranganath S. Gerrish David M. Blei DRL BDL 134 1,166 0 31 Dec 2013
The Optimal Reward Baseline for Gradient-Based Reinforcement Learning Lex Weaver Nigel Tao 117 247 0 10 Jan 2013
MCMC using Hamiltonian dynamics Radford M. Neal 290 3,281 0 09 Jun 2012