Watching this video in the parking lot. Thank you and keep the good work. Short, precise, applied and to the point. This is how applied stat and econometrics should be taught.
Nobody I know can use a children's marker on paper or a white board with tons of stats on it but STILL make it so understandable and clear. A+ my friend.
Glad that you are back Ritvik 😊, isn’t this similar to lasso or ridge regression or in general regularised loss where the coefficient lambda determines the weight we give to regularisation vs minimising actual loss function and is dynamically tuned based on cv data
It feels so much easier to learn from you than from 500 pages books. I would also enjoy some more safety-oriented videos: adversarial robustness, interpretability, trojans, alignment, black swans...
@@jasdeepsinghgrover2470 These books look great, but it's a big time investment to read. I personally enjoyed the Center for AI safety's course, it's pretty thorough and includes exercises.
I think a linear combination of metrics is not that suitable even though it is very common. We should use the function of constraints that suits the kind of optimization. Like satisfier kind of constraints should have exponential costs if not satisfied and optimizer constraints should be linearly combined. Have seen this to work much better in papers for pose estimation where they need to get elbows and knees right
What, no math!!! I think you should do a follow up where you develop the equations. What is the relationship of dynamic multi-objective optimization to Lagrange multipliers or other convex optimization topics?
How do we perform multi-variate sorts? Suppose you are trying to choose a portfolio of assets. I want to sort on return and risk. How do I get top 10 high return and low risk assets. P.S. I am an economist and know the theoretical way, but I can seem to easily apply it in this scenario. 🇿🇼🇿🇦
Watching this video in the parking lot. Thank you and keep the good work. Short, precise, applied and to the point. This is how applied stat and econometrics should be taught.
You're a bloody legend Ritvik!
I love learning from you but don't stress yourself.
You're setting your own priorities and that's the way it should be!
Thank you for saying that :)
Somehow we got through the whole video without explicitly hearing about "Pareto efficiency" or "scalarization": well done.
Welcome back Ritvik :) Almost at 100K!! Super proud! Very well deserved!
glad to see you back man even tho it's a month late ❤
THANKSSSSSSSSSS 🎉
You are absolutely amazing in explaining concepts!
The king returns!
Nice to see you back! Was wondering whether you had dropped RUclips. Glad to see you didn’t
Nice to be back !
Nobody I know can use a children's marker on paper or a white board with tons of stats on it but STILL make it so understandable and clear. A+ my friend.
Nice to see you back! Love your videos.
Thanks !
Welcome back Ritvit, you've been missed dearly!!
Thanks !
Welcome back! Missed your videos.
Much appreciated
I love the background of your video.
You should use it more...it's a lovely soothing place!
Aw thanks 😊
Keep going buddy, I love to learn from you.
Thanks 🙏
great video . Please proceed ahead in this series and teach more about multi objective optimization.
Thanks for the input!
Yeah, you're back :)
Missed your videos
Happy to be back !
Great metaphor to start with.
Thanks 🍲
Glad that you are back Ritvik 😊, isn’t this similar to lasso or ridge regression or in general regularised loss where the coefficient lambda determines the weight we give to regularisation vs minimising actual loss function and is dynamically tuned based on cv data
Great thought ! Lasso and Ridge can indeed be thought of as multi objective optimization problems too
@@ritvikmath thanks for the confirmation and reply
So happy you are back!
Thanks !
It feels so much easier to learn from you than from 500 pages books.
I would also enjoy some more safety-oriented videos: adversarial robustness, interpretability, trojans, alignment, black swans...
You can follow works by NN Taleb on black swans and others. Especially the book Statistical Consequences of Fat Tails
@@jasdeepsinghgrover2470 These books look great, but it's a big time investment to read. I personally enjoyed the Center for AI safety's course, it's pretty thorough and includes exercises.
@@conscious-atoms Ohh... Would love to go through it
Based guruji returns 🎉🎉
🎉
Would love a more detailed video as well. Like on regularization as multi objective optimization
Can you share how you achieved this simulation? It will be really helpful for my assignment.
Would like to know this as well!
Thank you for your videos
Wich you talk about dynamic multi objective optimizations it is a fascinating domain(missils ...etc )
wlecome back to the GOAT
I think a linear combination of metrics is not that suitable even though it is very common. We should use the function of constraints that suits the kind of optimization. Like satisfier kind of constraints should have exponential costs if not satisfied and optimizer constraints should be linearly combined. Have seen this to work much better in papers for pose estimation where they need to get elbows and knees right
great like always; Could you make more video about this concept and coding like running a real but simple project? 👩🏫
Can you show the math behind this in the future. Would be interesting.
Great suggestion!
Please do some tutorials of linear and non-linear optimisation
What, no math!!! I think you should do a follow up where you develop the equations. What is the relationship of dynamic multi-objective optimization to Lagrange multipliers or other convex optimization topics?
This is an amazing video! How to code the mouse-cat-cheese simulation btw?
woohooo!
Great video
Thanks 🙏
How do we perform multi-variate sorts? Suppose you are trying to choose a portfolio of assets. I want to sort on return and risk. How do I get top 10 high return and low risk assets.
P.S. I am an economist and know the theoretical way, but I can seem to easily apply it in this scenario.
🇿🇼🇿🇦
Isn't it similar to three body problem in physics ?
I’ll need to look into it thanks !
do you have a notebook where this logic is exemplified?
Why is cat static and cheese mobile?
how to put fun target game number sir make video