#variational — Public Fediverse posts

'Entropic Gromov-Wasserstein Distances: Stability and Algorithms', by Gabriel Rioux, Ziv Goldfeld, Kengo Kato.

http://jmlr.org/papers/v25/24-0039.html

#regularization #wasserstein #variational

VC Roundup: Web3 funding hits $5.4B in 2024 - Blockchain-based startups raised $1.4 billion in the third quarter, brin... - https://cointelegraph.com/news/vc-roundup-web3-funding-5-4-billion-2024 #moonwalkfitness #borderless.xyz #venturecapital #variational #vixichain #karpatkey #startups #craftt #axal

'Structured Optimal Variational Inference for Dynamic Latent Space Models', by Peng Zhao, Anirban Bhattacharya, Debdeep Pati, Bani K. Mallick.

http://jmlr.org/papers/v25/22-0514.html

#variational #models #priors

'Additive smoothing error in backward variational inference for general state-space models', by Mathis Chagneux, Elisabeth Gassiat, Pierre Gloaguen, Sylvain Le Corff.

http://jmlr.org/papers/v25/22-1392.html

#variational #smoothing #estimation

'Generic Unsupervised Optimization for a Latent Variable Model With Exponential Family Observables', by Hamid Mousavi, Jakob Drefs, Florian Hirschberger, Jörg Lücke.

http://jmlr.org/papers/v24/22-0359.html

#probabilistic #sparse #variational

'Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics', by Kamélia Daudel, Joe Benton, Yuyang Shi, Arnaud Doucet.

http://jmlr.org/papers/v24/22-1160.html

#variational #divergence #estimators

Detecting incidental correlation in multimodal learning via latent variable modeling

Taro Makino, Yixin Wang, Krzysztof J. Geras, Kyunghyun Cho

Action editor: Thang Bui.

https://openreview.net/forum?id=QoRo9QmOAr

#multimodal #modality #variational

Variational Elliptical Processes

Maria Margareta Bånkestad, Jens Sjölund, Jalil Taghia, Thomas B. Schön

Action editor: Sinead Williamson.

https://openreview.net/forum?id=djN3TaqbdA

#gaussian #variational #likelihood

'Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data', by Vaidotas Simkus, Benjamin Rhodes, Michael U. Gutmann.

http://jmlr.org/papers/v24/21-1373.html

#variational #models #gibbs

A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models

Oleg Arenz, Philipp Dahlinger, Zihan Ye, Michael Volpp, Gerhard Neumann

Action editor: George Papamakarios.

https://openreview.net/forum?id=tLBjsX4tjs

#variational #mixture #gradient

U-Statistics for Importance-Weighted Variational Inference

Javier Burroni, Kenta Takatsu, Justin Domke, Daniel Sheldon

https://openreview.net/forum?id=oXmwAPlbVw

#variational #batches #inference

#arxivfeed :

"GD-VAEs: Geometric Dynamic Variational Autoencoders for Learning Nonlinear Dynamics and Dimension Reductions"
https://arxiv.org/abs/2206.05183

#MachineLearning #DeepLearning #Variational #Autoencoder #DynamicalSystems