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1001st viewing of the movie The Great Beauty
“1000 men have 1000 interpretations of the Hamlet.” 1000 viewing of a great piece of art yield 1000 interpretations. The Great beauty, directed by Paolo Sorrentino and starred by Toni Servillo, is one of the great art. I first fell for its exquisite cinematography and found myself discovering new details every time I watched it.…
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Stat Study – Dec 9, 2023
A follow-up question from yesterday is how Bayesian statistics and statistical testing relate? They both seem to seek to make inferences about populations based on sample data. My thought: before answering this question, I want a concept map that show me where hypothesis testing fits in the subject of statistics. I wonder if it is…
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GFlowNet Study – Dec 8, 2023
I am reading… when the reward function R represents the product of a prior (over some random variable) times a likelihood (measuring how well that choice of value of the random variable fits some data), the GFlowNet will learn to sample from the corresponding Bayesian posterior https://milayb.notion.site/95434ef0e2d94c24aab90e69b30be9b3 In Bayesian Statistics, why do we go through…
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Principles for software work
Here is a list of principles I need to train myself into following: Note: train mental athleticism. Explore.
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GFlowNet Study – Dec 7, 2023
How does GFlowNet represent distributions and sampling over graphs? Related description in GFlowNet tutorial: “Because of the sequential construction of objects x (with an arbitrary number of steps), it is very convenient to generate variable-size structured objects, like sets, graphs, lists, programs or other recursively constructed data structures.” My thought: that means GFlowNet is capable…
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Causal Inference Study – Dec 6, 2023
Note: a difference definition provided in Yoshua Bengio’s blog post scaling-in-the-service-of-reasoning-model-based-ml: A causal model can be understood as an exponentially large family of distributions indexed by a choice of intervention, … How can this be useful? Compared to Peter Spirtes’ one (i.e., a stat model and a causal graph) My thought: I don’t think I…
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Software Eng Diary – Nov 30, 2023
NOTE1: Building upon existing systems that was developed by others is a vastly different experience from that of building from stretch or on something I know a lot about. The project that I have been working on at the FBA coaching team seems small (i.e., how big is it when all I needed to do…
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Causal Inference Study – Nov 29, 2023
Now I have finished studying Peter Spirtes’ Introduction to Causal Inference. I am coming back to these big questions. The bigger question to ask when I study causal inference: what principles I can draw from the field of causal inference to build causal understanding into Yoshua Bengio’s world models? My Thought: To see their relationship,…
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Physical/Dance related questions – Nov27 to Dec3
How can I achieve the cow postures (2nd of the Kadour Ziani’s 7 mobility postures) and strengthen ankles in that direction to prevent injuries?
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Causal Inference – Nov 28, 2023
Are random variables in causal inference equivalent to features in ML? My Answer: yes. My answer after reading ChatGPT: yes and no. They both represent aspects/elements of a data set or a model, but they are established under different contexts and serve different purposes. Random variables in CI are mainly used to discover causal relationships…
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Gang Fang's Blog 