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Linear Convergence of Black-Box Variational Inference: Should We Stick
  the Landing?
v1v2v3v4v5v6 (latest)

Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing?

International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
27 July 2023
Kyurae Kim
Yian Ma
Jacob R. Gardner
ArXiv (abs)PDFHTML

Papers citing "Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing?"

6 / 6 papers shown
Title
Natural Gradient VI: Guarantees for Non-Conjugate Models
Natural Gradient VI: Guarantees for Non-Conjugate Models
Fangyuan Sun
Ilyas Fatkhullin
Niao He
BDL
182
0
0
22 Oct 2025
AutoSGD: Automatic Learning Rate Selection for Stochastic Gradient Descent
AutoSGD: Automatic Learning Rate Selection for Stochastic Gradient Descent
Nikola Surjanovic
Alexandre Bouchard-Côté
Trevor Campbell
126
1
0
27 May 2025
On Divergence Measures for Training GFlowNets
On Divergence Measures for Training GFlowNetsNeural Information Processing Systems (NeurIPS), 2024
Tiago da Silva
Eliezer de Souza da Silva
Diego Mesquita
BDL
341
4
0
12 Oct 2024
Efficient Mixture Learning in Black-Box Variational Inference
Efficient Mixture Learning in Black-Box Variational Inference
A. Hotti
Oskar Kviman
Ricky Molén
Victor Elvira
Jens Lagergren
242
2
0
11 Jun 2024
Understanding and mitigating difficulties in posterior predictive
  evaluation
Understanding and mitigating difficulties in posterior predictive evaluation
Abhinav Agrawal
Justin Domke
UQCV
151
0
0
30 May 2024
Kernel Semi-Implicit Variational Inference
Kernel Semi-Implicit Variational Inference
Ziheng Cheng
Longlin Yu
Tianyu Xie
Shiyue Zhang
Cheng Zhang
197
7
0
29 May 2024
1