Intro to LLMs

All information for this reading group available here!

Casual Inference and Machine Learning

These sessions take place on Fridays from 12.15 pm to 1.15 pm (CET). Each week a volunteer will briefly explain a chapter or paper (related to Causal Inference) to the rest of the audience in no more than 45 minutes (ideally less). In the last >15 minutes, we will discuss the topic explained. During the explanation, participants can ask questions. The sessions will be recorded and uploaded to the ICMAT youtube channel. You can find the video links below. Besides, you will find the necessary material for these sessions in the resources section.

More information on how to join online here.

Sessions

1

“Chapter 1: A definition of causal effect” from “Causal Inference. What If” book. Lecturer: Roi Naveiro. December 2nd 2022. Click here to watch.

2

“Chapter 2: Randomized experiments” from “Causal Inference. What If” book. Lecturer: David Ríos Insua. December 16th 2022. Click here to watch.

3

“Chapter 3: Observational studies” from “Causal Inference. What If” book. Lecturer: Roi Naveiro. December 23rd 2022. Click here to watch.

4

“Chapter 4: Effect modification” from “Causal Inference. What If” book. Lecturer: Simón Rodríguez Santana. January 20th 2023. Click here to watch.

5

“Chapter 5: Interaction” from “Causal Inference. What If” book. Lecturer: Jose M. Camacho. January 27th 2023. Click here to watch.

6

“Chapter 6: Graphical representation of causal effects” from “Causal Inference. What If” book. Lecturer: David Ríos Insua. February 3rd 2023. Click here to watch.

7

“Chapter 8: Selection bias” from “Causal Inference. What If” book. Lecturer: Ramón Díaz Uriarte. February 10th 2023. Click here to watch.

8

“Chapter 7: Confounding” from “Causal Inference. What If” book. Lecturer: Juan F. Poyatos. February 17th 2023. Click here to watch.

9

“Quantum information tools that deal with causality”. The session is based on: [1], [2], [3]. Lecturer: Alex Pozas. February 24th 2023. Click here to watch.

10

“Chapter 9: Measurement bias” from “Causal Inference. What If” book. Lecturer: Simón Rodríguez Santana. March 3rd 2023. Click here to watch.

11

“Chapter 10: Random Variability” from “Causal Inference. What If” book. Lecturer: Roi Naveiro. March 10th 2023. Click here to watch.

12

“Casually (and causally?) playing with a large health database”. Lecturer: David Ríos Insua. March 17th 2023. Click here to watch.

13

“Mendelian Randomization: Using genetic variability as an instrumental variable in Causal Inference”. Lecturer: Fátima Sánchez Cabo. Friday 31st 2023. Click here to watch.

Resources

In this section, you will find the neccessary material for the reading sessions.