Lecture 9c risk
CS433 lectures · 65 · 1 · 10 Jan
Hi, Could you please explain me how the standard risk is obtained in this slide ? ![risk.jpg]…
Neural network_approximation f(x)_exam 2018
CS433 exams · 135 · 2 · 9 Jan
Hi, Why in the following question i don't get how do they find the parameters? Thank you very muc…
Lab07 Coordinate Descent (Ascent) for SVM
CS433 exercises · 80 · 1 · 9 Jan
Hi, After checking the solution of Lab07 and the lecture slide, I still feel puzzled about Coord…
[Lecture 4a] Proof: A simple union bound
CS433 lectures · 80 · 1 · 9 Jan
I couldn't understand why the probability of maximum deviation being larger than epsilon is smaller…
Computational complexity of ALS for Matrix Factorization
CS433 lectures · 76 · 1 · 9 Jan
Hello, In the lecture of matrix factorization, for the ALS method, it is asked the computational…
MC Grading
CS433 exams · 196 · 1 · 9 Jan
Hi, in the previous exams, what does it mean to get "0 points" for an answer that is "more than one…
SVD
CS433 lectures · 90 · 2 · 9 Jan
Hey, why the rank of this matrix is K? I don't know how to prove it:( Thanks, ![Capture95.JPG](…
What is as considered as known
CS433 exams · 239 · 3 · 8 Jan
Hi, When we need to prove something on the exam, can we use proofs that we have seen in lectures…
concave
CS433 lectures · 88 · 1 · 8 Jan
Hey, is this function concave? if yes, can someone please explain why? Thanks in advance, ![…
GAN
CS433 lectures · 83 · 1 · 8 Jan
Hey, it was said in the lecture that this is an approximation, but isn't it equality? minimizing lo…
Gaussian mixture models joint distribution
CS433 lectures · 101 · 2 · 8 Jan
Hello, I am wondering why there is twice the product over k in the formula below… isn't it suffi…
SVM least squares problems
CS433 lectures · 56 · 1 · 8 Jan
Hello, I don't understand why there is a 4 in front of the loss associated to the least squares pr…
Garding for passing the course
CS433 exams · 325 · 2 · 8 Jan
Hi, I'm wondering whether we can be told how the grades in written exam will be transformed to t…
Adversarial ML
CS433 lectures · 88 · 2 · 8 Jan
Hello, In the adversarial ML lecture, I don't understand well the paragraph below. Why when it …
soft-clustering
CS433 lectures · 85 · 1 · 7 Jan
Hey, from this equation, it looks like the probability that xn is in cluster k ( \(\pi)k) doesn't d…
Lab 7 problem 2
CS433 exercises · 114 · 2 · 7 Jan
Hello, For the first question of problem 2, would it be possible to have detailed passage from …
SGD Lab 7
CS433 exercises · 60 · 1 · 7 Jan
Hello, I do not understand why for the update of the weights, gamma is divided by #iters +1? …
Question about Nearest Neighbor Exponential Blowup - Week 6b
CS433 lectures · 94 · 2 · 6 Jan
The second term in the bound for the error of the 1-NN classifier is \(4c \sqrt{d} N^{-\frac{1}{d+1…
Exam 2018 question
CS433 Uncategorized · 243 · 3 · 6 Jan
I am looking at problem ten, and wonder why x value of 1 does not have a subgradient?
Adversarial ML
CS433 lectures · 116 · 1 · 6 Jan
Hey, is there a reason why the gradient is being normalized at each step? In gradient descent we di…