I get your point but I wish this wasn't the case with most research. I, like the author, am not a math guy but have been reading tons of ML papers recently. I usually skip the formal definition parts and get to the 'juicy' implementation parts.
That's hard as I haven't read too many. The recent deepmind papers (the ones about imagination) were good. The papers were pretty standard but they came along with explanatory blogpost[1] and some videos covered them too[2][3][4]. This supplementary content is what made them accessible for me.
I wish there was a ELI5 section in each paper.