News

Re-exam resgitartion open until March 23rd

Written on 17.03.21 by Isabel Valera

Dear PML students,

Please remember to register via LSF/HISPOS for the PML re-exam by March 23rd! In case registration in LSF/HISPOS is not available for you and want to participate in the re-exam, please send us an email with you name, matriculation number and study program by March 23rd.

The… Read more

Dear PML students,

Please remember to register via LSF/HISPOS for the PML re-exam by March 23rd! In case registration in LSF/HISPOS is not available for you and want to participate in the re-exam, please send us an email with you name, matriculation number and study program by March 23rd.

The re-exam will take place on March 30th at 2pm (CET). All the information will be available in https://cms.sic.saarland/pml/4/Exam_Information

Best regards,

The PML team

 

 

 

 

Final grade now visible in your personal profile.

Written on 10.03.21 by Isabel Valera

Dear all,

The final grade for the course (if you participated in the exam) should be now visible in your personal profile. We plan to share the final grades with the study office by Monday, so in case you require inspection, do so before this Friday via Discord.

Best regards,

The PML team

Re-exam information

Written on 10.03.21 by Isabel Valera

Dear PML students,

The PML re-exam will take place on march 30th at 2pm and as before it will take place online. The official LSF registration will open next week (I will inform you as soon as it opens) and it will close on March 23rd. More news coming soon!

Best regards,

Prof. Valera

 

Exam results

Written on 09.03.21 by Isabel Valera

Dear PML students,

The results of the exam from February 23rd are now available in the feedback option of the submission page. In addition, you can find the solutions to the exam in the Materials page. If you require exam inspection, please lets us know via Discord by this Friday.

In addition,… Read more

Dear PML students,

The results of the exam from February 23rd are now available in the feedback option of the submission page. In addition, you can find the solutions to the exam in the Materials page. If you require exam inspection, please lets us know via Discord by this Friday.

In addition, the final grades, including the assignment results,  will be released thorough  today.

Best regards,

The PML team

 

 

Zoom link for the exam (starting in 5 minutes)

Written on 23.02.21 by Isabel Valera

Link: https://cs-uni-saarland-de.zoom.us/j/99215495348?pwd=Y0lZM29GemhQd3B2R09TN2g2R1lDUT09

IMPORTANT! Double checking exam registration

Written on 19.02.21 by Isabel Valera

Dear all,

I have now uploaded the list of students that have registered for the exam next  Tuesday 23rd. You can see your status in your profile/registrations.

If you appear as non-registered,  would still  like to participate to the exam, and did not miss the LSF registration on February 16th… Read more

Dear all,

I have now uploaded the list of students that have registered for the exam next  Tuesday 23rd. You can see your status in your profile/registrations.

If you appear as non-registered,  would still  like to participate to the exam, and did not miss the LSF registration on February 16th (that means such a registration was not possible for you). Contact me asap (no later than Monday 22nd at 10am).

Best regards,

Prof. Isabel Valera

 

 

Exam details now available

Written on 16.02.21 (last change on 16.02.21) by Isabel Valera

Dear all, 

All the exam details are available now here: https://cms.sic.saarland/pml/4/Exam_Information 

In case you lack a device to digitally submit your exam, please let us know as soon as possible!

Best regards,

the PML team

 

 

 

 

Deadline Assignment 3 Extended

Written on 09.02.21 by Isabel Valera

Dear all,

As several of you have reported personal problems to submit the third assignment on time (i.e., yesterday), we have decided to extend the deadline until next Monday. If you have already submitted your assignment and you are happy with it, no need to do anything. But in case you did not… Read more

Dear all,

As several of you have reported personal problems to submit the third assignment on time (i.e., yesterday), we have decided to extend the deadline until next Monday. If you have already submitted your assignment and you are happy with it, no need to do anything. But in case you did not manage to submit everything or directly submit at all, you got extra time.

It is also a good opportunity to make sure that the submitted assignment is in the right format. Please make sure that this is the case and if you have any doubt ask us.

Best regards,
The PML team

 

 

Online Written Exam on Feb. 23 at 2pm (CET)

Written on 03.02.21 by Isabel Valera

Dear all,

As mentioned today in class, the exam will finally take place in an online manner on the initially schedule date. The exam will be "online" so that you can take it anywhere on earth from home, but time is 2pm CET. 

It will be a written exam, and you will be able to download the… Read more

Dear all,

As mentioned today in class, the exam will finally take place in an online manner on the initially schedule date. The exam will be "online" so that you can take it anywhere on earth from home, but time is 2pm CET. 

It will be a written exam, and you will be able to download the questions, and upload your responses to the cms (i.e., here). What you will need to participate in the exam:

- Access to the zoom call (not camera), where I will explain the exam rules.

- Access to the cms to download and upload the exam.

-  Access to a camera or scanner to be able to make a copy of your responses and upload them to the cms. 

- Your student registration number and study program. 

It will be an open book exam, which means that you can check your lecture notes and additional material. However, solutions that are identical to the solutions of your peers, or to solutions available e.g., online, will be consider as plagiarism. If plagiarism is detected, the exam will be automatically be failed. 

More official information and details coming soon. Use the discord channel to ask question and solve your doubts towards exam preparation. 

Best regards, 

The PML team

 

PS Thank you for joining the course, we hope you enjoyed at least as much as we did. 

 

 

 

Updated tutorial 8

Written on 22.01.21 by Adrián Javaloy Bornás

Dear all,

the material for next week's tutorial is already available. As always, we will explain and go through the material in the next tutorial.

Feel free to contact us if you spot any mistake.

Best regards,
Adrián

Updated tutorial 7

Written on 21.01.21 by Adrián Javaloy Bornás

Dear all,

A new version of tutorial 7 is available, it now includes the final expression of the ELBO so you can check your final result and do the following exercises regardless of exercise 1.2. Bear in mind that you should still write down all the derivations in order to properly solve exercise… Read more

Dear all,

A new version of tutorial 7 is available, it now includes the final expression of the ELBO so you can check your final result and do the following exercises regardless of exercise 1.2. Bear in mind that you should still write down all the derivations in order to properly solve exercise 1.2.

Best,
Adrián

Time for students to evaluate the teaching team!

Written on 08.01.21 by Isabel Valera

Dear PML students,

The time where you evaluate your teaching team has arrived. Please, evaluate myself and PML TAs using the following links by 30.01.2021 using the following links:  

Link to Evaluate Prof. Valera: https://qualis.uni-saarland.de/eva/?l=126775&p=x6lb64

Link to evaluate… Read more

Dear PML students,

The time where you evaluate your teaching team has arrived. Please, evaluate myself and PML TAs using the following links by 30.01.2021 using the following links:  

Link to Evaluate Prof. Valera: https://qualis.uni-saarland.de/eva/?l=126775&p=x6lb64

Link to evaluate TAs/tutors (i.e., Pablo Sanchez and Adrian Javaloy): https://qualis.uni-saarland.de/eva/?l=1267751&p=g05t4r

Many thanks,

Prof. Isabel Valera

PS remember that next lecture (on variational Inference) is next Wednesday 13th of January and the corresponding tutorial on the 18th. 

 

Show all

Probabilistic Machine Learning

Re-exam on March 30th! Please registe via HISPOS by March 23rd!

General Information

The probabilistic machine learning framework describes how to represent and manipulate uncertainty about models and predictions, and has a central role in scientific data analysis, machine learning, robotics, cognitive science and artificial intelligence. This course aims to provide an introduction to the general framework of probabilistic modeling and inference. To this end, the course will provide an introduction to generative models for unsupervised learning, such as clustering and topic modeling; and to standard Bayesian inference methods, including both MCMC and variational inference methods.  

In every lecture, we will introduce you to the topics detailed below in the tentative program. Each lecture will be accompanied with a script detailing all the content we give in the lecture, which we hope to serve as study material and also should suffices in case you cannot attend a lecture. In the tutorials, you will bring the theory of the lecture into practice by completing a set of Jupyter notebooks we have prepared for you. The programming language of the course is Python

Prerequisites. Ideally, participating students should have successfully completed an introductory course on machine learning and statistical learning. However, the course is self-contained and any student with a solid basis in linear algebra should in principle be able to follow. 

 

Organizational Information

Lectures*:  Wednesdays at 16:15pm (on Zoom) -- starting on November 4

Tutorials*: Mondays at 14:15pm (on Zoom) -- (tentatively) starting on November 16 

*Refer to "How to access the lectures?" under the Information tab, to obtain the zoom link details. 

**Lectures recording: There has been a change of planes, and in order for students with schedule collision to participate in the course, the lectures will be recorded and shared with students afterwards. However, the video recording will only be available for the week between lectures, so that students that cannot join on Wednesdays, have a whole week to watch the missed lecture. Please do not distribute video recordings outside the course. Thanks! 

Privacy disclaimer: We have decided to use zoom for both lectures and tutorials, as it provides superior functionality and usability for lecturing, including seamless live interaction and smooth integration of a whiteboard. We thus encourage you to  join the Zoom with your real name, your camera on,  and ask questions verbally. However, this is of course voluntary. If you are concerned about privacy, we encourage you to enter the zoom meeting under a nickname or pseudonym, and use only the textual chat for communication. 

 

Tentative program

0. Introduction to probabilistic machine learning (Nov. 4) 

  • Reference: Ghahramani, Zoubin. "Probabilistic machine learning and artificial intelligence." Nature 521.7553 (2015): 452-459.

1. The Gaussian Distribution (Nov. 11) 

  • Reference: Chapter 2 up to Section 2.3.6 and Section 8.2 of Bishop

BLOCK I: Monte Carlo Methods

2. Gaussian Mixture Model (GMM) + Expectation Maximization (Nov. 18)

  • Reference: Section 9.2 of Bishop

3. Bayesian GMM + Gibbs Sampling (Nov. 25)  

4. Dirichlet Process and infinite Mixture Models (iMMs) (Dec. 2) 

5. Hidden Markov Models (HMMs) (Dec. 9) 

6. Temporal point Processes (TPPs) (Dec. 16)

BLOCK II: Variational Inference

7. GMMs + Variational Inference (VI) (Jan. 13)

8. Latent Dirichlet Allocation (LDA) (Jan. 20)

9. Advanced VI (part I): Stochastic VI and Black Box VI (Jan. 27)

10. Advanced VI (part II): Amortized Inference and Variational Autoencoders (VAEs) (Feb. 3)

 

 

 

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