Sebastian Weichwald

Why?
Causality, Statistics, Machine Learning, Interdisciplinarity
@ @science_ku @UCPH_Research
formerly @MPI_IS & @ETH_en

[Sebastian Weichwald @sweichwald]

What is a causal model and how is it different from a "common" statistical model?
👇
Thread on a mental picture and intuition how one may think about (a subclass of) causal models and the causal discovery problem.
1/

@bttyeo @eliasbareinboim @KordingLab @EpiEllie @causalinf

[Statistics (Machine Learning) Papers @StatsPapers]

What is causal about causal models and representations?. https://t.co/EmPJWPgAij

[Sebastian Weichwald @sweichwald]

📢 PhD opportunities

at the University of Copenhagen
in Statistics and Insurance/Economics Maths
https://t.co/IZsGCVRM2V
(apply by April 1)

and in Denmark more broadly
Danish Data Science Academy Fellowship
https://t.co/DQ3TyH9yiA
(apply by March 5)

[Sebastian Weichwald @sweichwald]

📢 Open Positions in Stats @ University of Copenhagen

https://t.co/XmMG5Q7y6H

Very liveable city, kind & helpful colleagues, excellent environment w/ vibrant community – can only recommend and happy to answer questions via email ;-)

Spread the word and apply by OCT 6‼️

[Sebastian Weichwald @sweichwald]

📢 Open Positions in Stats @ University of Copenhagen

https://t.co/XmMG5Q7y6H

Very liveable city, kind & helpful colleagues, excellent environment w/ vibrant community – can only recommend and happy to answer questions via email ;-)

Spread the word and apply by OCT 6‼️

[Stat.ML Papers @StatMLPapers]

Adjustment Identification Distance: A gadjid for Causal Structure Learning https://t.co/AifNb5khJW

[Sebastian Weichwald @sweichwald]

📢 here's a new 𝚐𝚊𝚍𝚓𝚒𝚍 for Causal Structure Learning:

𝐆raph 𝐀𝐃𝐉ustment 𝐈dentification 𝐃istances
to compare DAGs or CPDAGs (!)
in terms of the identifying formulas they suggest for causal effects.

💻 Try it: pip install gadjid
📚 Read it: https://t.co/x1DMXzsIC6

1/

[Sebastian Weichwald @sweichwald]

📢 PhD positions in causality/statistics/ML in Copenhagen

https://t.co/6uJJOvMO08
→ beyond the named projects,
several independent stipends are available
– just apply with your project ideas and supervisor suggestion 💭

https://t.co/SyH6yb6pqk

Apply by April 1st 📨

[Sebastian Weichwald @sweichwald]

📢 PhD positions in causality/statistics/ML in Copenhagen

https://t.co/6uJJOvMO08
→ beyond the named projects,
several independent stipends are available
– just apply with your project ideas and supervisor suggestion 💭

https://t.co/SyH6yb6pqk

Apply by April 1st 📨

[Pioneer Centre for AI @AiCentreDK]

The Pioneer Centre for AI invites applications for 9 PhD Positions for different projects at the Centre across our collaboratories and partner universities.

🗓 Application deadline is 22 March and 1 April, 2024.

For more information:
https://t.co/MEjRV8mCIX

[Sebastian Weichwald @sweichwald]

Why?
We need 𝒄𝒂𝒖𝒔𝒂𝒍 performance metrics to guide the development of 𝒄𝒂𝒖𝒔𝒂𝒍 structure learning algorithms.

Existing graph distances are non-causal,
ignore causal order, or slow 🐌

We develop new algorithms for
the too fast 🚴‍♀️ and too causal
Ancestor- and Oset-AID

2/

[Sebastian Weichwald @sweichwald]

📢 here's a new 𝚐𝚊𝚍𝚓𝚒𝚍 for Causal Structure Learning:

𝐆raph 𝐀𝐃𝐉ustment 𝐈dentification 𝐃istances
to compare DAGs or CPDAGs (!)
in terms of the identifying formulas they suggest for causal effects.

💻 Try it: pip install gadjid
📚 Read it: https://t.co/x1DMXzsIC6

1/

[Emanuele Marconato @ema_marconato]

Using Neuro-Symbolic AI can boost the prediction accuracy... but are you learning the right concepts? 🤖

The answer is very tricky, but it is "no" in general 😱

Introducing our latest paper, accepted at #NeurIPS2023!

With @tetraduzione, @andrea_whatever, and @looselycorrect.

[Antoine Collas @AntoineCollas]

🚀 New Release Announcement: Pymanopt 2.2.0 🚀

Changelog: https://t.co/k8JovB6SWu

You can upgrade with pip:
pip install -U pymanopt

[Liang Wendong @liang_wendong1]

Introducing our #NeurIPS2023 paper: "Causal Component Analysis" (CauCA) – a causal generalization of Independent Component Analysis (ICA), and a special case of Causal Representation Learning (CRL). 1/10
📝: https://t.co/v3l6RK0SlK
💻: https://t.co/mhpVFTzc61

[antonio vergari ⚔️ @tetraduzione]

what does "alignment" mean these days in #AI and #ML?

in a nutshell, that big tech has a clear agenda and we shall align with it.

states and governments are doing this right now (and they influence academia in a weird feedback)

[Urban Cycling Institute 🚲  @fietsprofessor]

'Bike riders recognise that mandatory helmet legalisation does not tackle the risk of injury at its root [and] felt that helmets dehumanise bike riders which could lead to further violence against them.'

🚨NEW STUDY🚨: https://t.co/vDfdp1TGkb (cartoon by @davewalker)

[Luigi Gresele @luigigres]

On Friday, 20 Oct., I will give a talk at the University of Copenhagen. I will present work on identifiable representation learning---independent influences, multiple views & Causal Component Analysis

Date/Time: 20 Oct. 2023, 11:15
Place: Aud 10, Universitetsparken 5, HCØ

[Urban Cycling Institute 🚲  @fietsprofessor]

How (not) to solve a bottleneck.

(Original from 'Movement': https://t.co/3kCctqAiWR. Enhanced by @Jtrace_a_stras)

[Sebastian Weichwald @sweichwald]

Into identifiability and causal representation learning
and close to Copenhagen?
👇

📢 @luigigres is visiting Copenhagen Causality Lab 🤩
📅 Talk: Oct 20, 11:15
https://t.co/VB1NPmrozk
👥 get in touch, if you want to meet with Luigi Oct 19/20

@AiCentreDK @MLSectionUCPH @CogSys

[Christof Seiler @[email protected] @christofseiler]

@sweichwald @marcoguazzinii @__agrei__ Try it out on your own data!

You can find our @rstatstweet package with vignette here: https://t.co/NWHjmHCjzy

It will also be on @Bioconductor soon :)