6.438 Algorithms for Inference
Fall 2014
Instructor: Devavrat Shah
TAs: Nirav Bhan, Xuhong Zhang
Lecture:
TR9.30-11
(32-124)
Recitation: F10 or 11
(36-372)
Office hours (Devavrat): (by appointment)
(32-D670)
Office hours (Nirav): M4.30-6
(32-D 6th floor lounge)
Office hours (Xuhong): W4.30-6
(32-D 6th floor lounge)
Information:
Introduction to statistical inference with probabilistic graphical models. Directed and undirected graphical models; factor graphs; Gaussian models. Hidden Markov models, linear dynamical systems. Sum-product and junction tree algorithm. Forward-backward algorithm; Kalman filtering and smoothing. Variational methods, mean-field theory, and loopy belief propagation. Particle methods and filtering. Min-sum algorithm; Viterbi algorithm. Building graphical models from data; parameter estimation, learning structure. Selected special topics.
Announcements
Final Exam solutions uploaded on stellar
The final exam question paper and solutions are now up on stellar, under the Exam section. Please have a look.Best Regards,
Nirav and Lisa
Announced on 16 December 2014 1:40 a.m. by Nirav Bhan
Final exam scores distribution
Hi all,Several students had sent me an email saying that they would like to know the distribution of marks in the final exam. We have updated the gradebook module page to allow students to see a histogram of the marks.
In addition, here are 2 statistics about the exam scores:
Mean: 22.45
Standard Deviation (σ): 4.93
We hope this will allow you to 'infer' whether you need to review your exams! :)
Best Regards,
Nirav
Announced on 15 December 2014 9:01 p.m. by Nirav Bhan
Final Exam Grades are available
Hi all,Your final exam grades should be visible now in the gradebook module.
Best Regards,
Nirav and Lisa
Announced on 15 December 2014 5:23 p.m. by Nirav Bhan
Quiz 2: Graded Papers
Class -Trust you all are relaxing after the quiz. We have graded the quizzes and they are available for review during the following hours:
Tuesday, Dec 16 : 10:30am - 12:30pm
Wednesday, Dec 16 : 10:30am - 12:30pm
You can find these with Lynne Dell, course assistant, who sits in 32-D664
She can be reached at ldell@mit.edu
Rules:
You are free to take your graded exam with you.
However: before you decide to take it away with you, you must review carefully. If you think you would like to submit for re-grading, please DO NOT take them with you and leave your paper with a note clearly explaining what your concern is. If you took it away, we will NOT entertain regrade request.
Best.
Devavrat
Announced on 15 December 2014 2:26 p.m. by Devavrat Shah
Recitation-12 notes uploaded
Hi all,I have uploaded some notes on the EM algorithm. In particular, I have tried to explain the sampling method for EM more clearly. Please have a look.
Best Regards,
Nirav
Announced on 10 December 2014 9:29 a.m. by Nirav Bhan
