Add thesis for Dmitry Bagaev #201
Merged
+38
−0
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
|
@bvdmitri yes, it's possible it would be automatically fixed on your machine if you would run After you can just commit the changes and it will be done. |
Nimrais
approved these changes
Mar 18, 2024
| We present a practical architecture based on reactive message passing-based inference in a factor graph representation of the probabilistic model under study. | ||
| Factor graphs not only offer an insightful visual representation but also support an efficient inference process that takes advantage of statistical independence assumptions in the probabilistic model. | ||
| For a given factor graph, we first associate the Bayesian inference problem with the minimization of a Constrained Bethe Free Energy (CBFE) functional, which can be interpreted as an approximate, but computationally lighter, approach to Bayesian inference. We then develop an automatated message passing approach to CBFE minimization. As a unique feature, in this dissertation, we introduce a reactive programming style implementation of the message passing process. | ||
| Compared to existing message passing frameworks that are coded in the procedural style, reactive message passing leads to several advantages, including improved facilitation of real-time processing of streaming data, increased robustness to structural mishaps, and context-dependent adaptation of the sequence of messages. %inference process inference, reacting promptly to new measurements and updating posterior information automatically. |
There was a problem hiding this comment.
I think you have a typo there: %inference process inference.
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Part of the #200