Aktivitäten pro Jahr
Abstract
We analyze belief propagation on patch potential models -- these are attractive models with varying local potentials -- obtain all of the possibly many fixed points, and gather novel insights into belief propagation's properties. In particular, we observe and theoretically explain several regions in the parameter space that behave fundamentally different. We specify and elaborate on one specific region that, despite the existence of multiple fixed points, is relatively well behaved and provides insights into the relationship between the accuracy of the marginals and the partition function. We demonstrate the inexistence of a principle relationship between both quantities and provide sufficient conditions for a fixed point to be optimal with respect to approximating both the marginals and the partition function.
Originalsprache | englisch |
---|---|
Titel | Uncertainty in Artificial Intelligence |
Publikationsstatus | Veröffentlicht - 23 Juli 2019 |
Veranstaltung | 2019 Conference on Uncertainty in Artificial Intelligence - Tel Aviv, Israel Dauer: 22 Juli 2019 → 25 Juli 2019 |
Konferenz
Konferenz | 2019 Conference on Uncertainty in Artificial Intelligence |
---|---|
Kurztitel | UAI 2019 |
Land/Gebiet | Israel |
Ort | Tel Aviv |
Zeitraum | 22/07/19 → 25/07/19 |
Fingerprint
Untersuchen Sie die Forschungsthemen von „Belief Propagation: Accurate Marginals or Accurate Partition Function - Where is the Difference?“. Zusammen bilden sie einen einzigartigen Fingerprint.Aktivitäten
- 1 Vortrag bei Konferenz oder Fachtagung
-
Belief Propagation: Accurate Marginals or Accurate Partition Function -- Where is the Difference?
Christian Knoll (Redner/in)
23 Juli 2019Aktivität: Vortrag oder Präsentation › Vortrag bei Konferenz oder Fachtagung › Science to science