ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2406.15742
  4. Cited By
Probabilistic Programming with Programmable Variational Inference

Probabilistic Programming with Programmable Variational Inference

22 June 2024
McCoy R. Becker
Alexander K. Lew
Xiaoyan Wang
Matin Ghavami
Mathieu Huot
Martin Rinard
Vikash K. Mansinghka
ArXivPDFHTML

Papers citing "Probabilistic Programming with Programmable Variational Inference"

5 / 5 papers shown
Title
Building Machines that Learn and Think with People
Building Machines that Learn and Think with People
Katherine M. Collins
Ilia Sucholutsky
Umang Bhatt
Kartik Chandra
Lionel Wong
...
Mark K. Ho
Vikash K. Mansinghka
Adrian Weller
Joshua B. Tenenbaum
Thomas L. Griffiths
40
13
0
22 Jul 2024
Gradient Estimation via Differentiable Metropolis-Hastings
Gradient Estimation via Differentiable Metropolis-Hastings
Gaurav Arya
Moritz Schauer
Ruben Seyer
OT
BDL
27
0
0
20 Jun 2024
Smoothing Methods for Automatic Differentiation Across Conditional
  Branches
Smoothing Methods for Automatic Differentiation Across Conditional Branches
J. N. Kreikemeyer
Philipp Andelfinger
28
6
0
05 Oct 2023
GFlowNets and variational inference
GFlowNets and variational inference
Nikolay Malkin
Salem Lahlou
T. Deleu
Xu Ji
J. E. Hu
Katie Everett
Dinghuai Zhang
Yoshua Bengio
BDL
127
77
0
02 Oct 2022
Markovian Score Climbing: Variational Inference with KL(p||q)
Markovian Score Climbing: Variational Inference with KL(p||q)
C. A. Naesseth
Fredrik Lindsten
David M. Blei
108
54
0
23 Mar 2020
1