Cargando…
Variational Inference via Rényi Bound Optimization and Multiple-Source Adaptation †
Variational inference provides a way to approximate probability densities through optimization. It does so by optimizing an upper or a lower bound of the likelihood of the observed data (the evidence). The classic variational inference approach suggests maximizing the Evidence Lower Bound (ELBO). Re...
Autores principales: | Zalman (Oshri), Dana, Fine, Shai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606691/ https://www.ncbi.nlm.nih.gov/pubmed/37895589 http://dx.doi.org/10.3390/e25101468 |
Ejemplares similares
-
Tight Bounds on the Rényi Entropy via Majorization with Applications to Guessing and Compression
por: Sason, Igal
Publicado: (2018) -
Lower and upper bounds for entanglement of Rényi-α entropy
por: Song, Wei, et al.
Publicado: (2016) -
Better Heisenberg Limits, Coherence Bounds, and Energy-Time Tradeoffs via Quantum Rényi Information
por: Hall, Michael J. W.
Publicado: (2022) -
Causal Inference in Time Series in Terms of Rényi Transfer Entropy
por: Jizba, Petr, et al.
Publicado: (2022) -
Conditional Rényi Entropy and the Relationships between Rényi Capacities
por: Aishwarya, Gautam, et al.
Publicado: (2020)