The specific topics discussed in CSE 250B will include, not necessarily in this order,
January 8, 2013 |
Maximum
likelihood (ML) |
|
January 10 |
Conditional log likelihood, logistic
regression |
Project 1 due on
January 24 |
January 15 |
Gradient descent |
Quiz 1 with answer |
January 17 |
Stochastic gradient descent | |
January 22 |
The general log-linear
model, feature functions |
Quiz 2 with answer |
January 24 |
Conditional random fields (CRFs), feature
functions |
Project 2 due on
February 12 |
January 29 |
Viterbi algorithm for inference, Collins
perceptron for training |
Quiz 3 with answer |
January 31 |
Forward and backward algorithms for CRFs |
|
February 5 |
Computing CRF expectations, contrastive
divergence |
Quiz 4 with answer |
February 7 |
Gibbs sampling, overview of text mining | Project 3 due on February 28 |
February 12 |
Multinomial distribution, generative
processes |
Quiz 5 with answer |
February 14 |
Dirichlet distribution, latent Dirichlet
allocation (LDA) |
|
February 19 |
Derivation of Gibbs sampling for LDA |
Quiz 6 with answer |
February 21 |
Optimization of Gobbs sampling for LDA |
|
February 26 |
Learning
semantics for sentences |
Quiz 7 with answer |
February 28 |
Neural networks and autoencoders |
Project 4 due on
March 18 |
March 5 |
Derivatives for SGD, choosing
a tree structure, loss functions |
Quiz 8 with answer |
March 7 |
Backpropagation for feedforward networks |
|
March 12 |
Backpropagation for vector-valued nodes |
Quiz 9 with answer |
March 14 |
Review of recursive
autoencoder networks for the project |
|
March 19 (Tuesday) |
Final
exam in the usual lecture room from
3pm to 6pm |
There is no a priori correspondence between letter grades and numerical scores on the assignments or on the exam. You can evaluate your performance in the class by comparing your scores with the means and standard deviations, which will be announced. However there is also no fixed correspondence between letter grades and standard deviations above or below the mean. If all students do well in the absolute, then all students will get a good grade.
You should not drop CSE 250B just because you are unhappy with the score that you receive on a project or quiz. Instead, you should make an appointment to discuss with the TA or the instructor how you can do better on following projects and quizzes.
Most recently
updated on March 14, 2013 by Charles Elkan, elkan@cs.ucsd.edu.