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Note on the bias and variance of variational inference

Note on the bias and variance of variational inference

9 June 2019
Chin-Wei Huang
Aaron Courville
ArXiv (abs)PDFHTML

Papers citing "Note on the bias and variance of variational inference"

4 / 4 papers shown
LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models
LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models
Fengqi Zhu
Rongzhen Wang
Shen Nie
Xiaolu Zhang
Chunwei Wu
...
Jun Zhou
Jianfei Chen
Yankai Lin
Ji-Rong Wen
Chongxuan Li
431
93
0
25 May 2025
Uphill Roads to Variational Tightness: Monotonicity and Monte Carlo
  Objectives
Uphill Roads to Variational Tightness: Monotonicity and Monte Carlo Objectives
Pierre-Alexandre Mattei
J. Frellsen
144
4
0
26 Jan 2022
Loss function based second-order Jensen inequality and its application
  to particle variational inference
Loss function based second-order Jensen inequality and its application to particle variational inferenceNeural Information Processing Systems (NeurIPS), 2021
Futoshi Futami
Tomoharu Iwata
N. Ueda
Issei Sato
Masashi Sugiyama
273
4
0
09 Jun 2021
Mind the Gap when Conditioning Amortised Inference in Sequential
  Latent-Variable Models
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable ModelsInternational Conference on Learning Representations (ICLR), 2021
Justin Bayer
Maximilian Soelch
Atanas Mirchev
Baris Kayalibay
Patrick van der Smagt
258
17
0
18 Jan 2021
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