Aleksander Molak {'url': 'CausalPython.io'} Profile Banner
Aleksander Molak {'url': 'CausalPython.io'} Profile
Aleksander Molak {'url': 'CausalPython.io'}

@AleksanderMolak

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2,642
Following
1,284
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542
Statuses
3,674

Author of "Causal Inference & Discovery in Python" || Host at || Causal AI for Everyone

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Joined September 2015
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
"Causal Inference & Discovery in Python" is out now! Foreword by @AjitJaokar ( @UniofOxford ) We did our best to avoid mistakes in the book but some happened Here's an errata file with known mistakes: If you spot more, let me know
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
Looking for ways to structure your causal journey? I just dropped a new blog post on 6 casual books that will get you from zero to advanced! Incl. great titles from @yudapearl , @causalinf & more #causality #causaltwitter #python #machinelearning
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
10 months
What if we could discover the true causal structure from observational data? Too good to be true? 1/n #causaltwitter #causality #machinelearning #causaldiscovery
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
10 months
Is causality necessary for trustworthy and explainable systems? From fair bandits to counterfactual explanations and back. 1/n #causality #causalinference #fairness #machinelearning #explainability #trustworthyAI #causaltwitter
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
🙅🏽‍♀️ Most data scientists I talked to thought it's impossible. The truth is that causes leave traces (sometimes). Here's how 👇🏼👇🏼👇🏼 🧵(1/n) #causality #causaldiscovery #causaltwitter #machinelearning #python
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
🍾 Book cover reveal and pre-order announcement! You're one of the first people on social media to see the cover of 𝗖𝗮𝘂𝘀𝗮𝗹 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆 𝗶𝗻 𝗣𝘆𝘁𝗵𝗼𝗻! 🧵 (1/n) #causalinference #causality #book #python #causaltwitter
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
🧘🏽 Causal Reinforcement Learning in 82 slides (Plus awesome intro and rich references) 🧵(1/n) #causality #causalinference #python #machinelearning #reinforcementlearning #causaltwitter
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
👩🏽‍🔬👩🏼‍🔬 Causal Inference Symposium: From Theory to Practice The times when causality was a purely academic sport are long gone. 🧵 (1/n) #causality #causalinference #python #machinelearning #event #businesstrends #ai #causaltwitter
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
😯 Confused about causality in Python? Here's my take on the Python's causal ecosystem 🧵 (1/n) #causality #causalinference #causaldiscovery #causaltwitter #python #machinelearning #datascience
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
Causal Foundation Models? This brand new paper gives a perspective. 1/n #causality #machinelearning #foundationmodels
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
A brand new paper by Lars Lorch, Andreas Krause and Bernhard Schölkopf proposes a new formalism to talk about causality. [Link below] 1/n #causaltwitter #causality #machinelearning
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
8 months
Now available also on ArXiv New FREE online book on causality and machine learning. 🧵 1/n #causaltwitter #causality #machinelearning #econtwitter #causalinference
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
😯 The greatest fear that drives people away from causality is not about complexity It's about something much simpler 🧵 (1/n) #causality #causalinference #python #machinelearning #datascience #casualtwitter
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
🎉 Exciting news for all Causal Pythonistas out there! #PyMC just got it's new causal do-operator! (code 👇🏼) 🧵 (1/n) #python #causality #causalinference #machinelearning #bayesian #statistics
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
🤫 Many people see similarities between Bayesian networks and structural causal models (SCMs)... ...yet many are afraid to ask about the differences. 🧵 (1/n) #causality #causalinference #bayesian #machinelearning #causaltwitter
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
🌠 Here are 4 Python causality libraries to learn in 2023 (a thread) (1/6) #causaltwitter #causality #causalinference #Python #MachineLearning
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
10 months
Ready for causal 2024? Here's the map. 1/n #causaltwitter #causality #machinelearning #python
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
"Causal Inference and Discovery in Python" is now available 🎉 & it's Amazon's #1 Hot New Release in the category! Thank you for ur support! 💖 Let's make the causal revolution happen! #causality #python #causaltwitter #causalinference #causaldiscovery
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
8 months
"The 7+1 Tools of Causal Inference" by @yudapearl at our Causal Parrots workshop at @RealAAAI #aaai2024 #causaltwitter #causality #llms @matej_zecevic @dev
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
10 months
Let's break it and see! Violating causal discovery assumptions to test robustness 1/n #causality #causaltwitter #machinelearning #causalAI
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
11 months
Some people say that causal modeling requires too many assumptions. And it's better to use associative modeling, because it requires less . #causality #machinelearning #causaltwitter 1/n
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
🍀 Here are 4 Python libraries for estimating heterogenous treatment effects (From traditional algorithms to flexible neural networks) 🧵 (1/n) #causaltwitter #python #machinelearning #deeplearning
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
🎨 Thinking how to visualize your causal models? Here are 3 free tools that I use daily 🧵 (1/n) #causality #causalinference #causaltwitter #python #machinelearning #datascience #datavisualization #dataviz
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
98% of data scientists work with DAGs almost every day, but they won't tell you about it. Do you know why? 🧵 (1/n) #causality #causaltwitter #machinelearning
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
11 months
We were taught to ignore it Yet, it hasn't disappeared 1/n #causality #causalai #causaltwitter #machinelearning #churn
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
💀 Causality is dead. Here are three common reasoning patterns that drive people to wrong conclusions about causality ...and three amazing resources to level up your understanding. 🧵(1/n) #causality #causalinference #python #causaltwitter #machinelearning #causaldiscovery
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
Are causal models probabilistic programs? ChiRho has an answer. 1/n #causaltwitter #causality #python #machinelearning
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
"Nothing has changed in causality since the 80s" Here are 5 novel ideas that marry causality with generative models, conformal prediction and topology. #causality #causaltwitter #python #neurips2023
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
😲 Can GPT-4 beat your favorite Causal Discovery algorithm? A brand new paper by @emrek , @amt_shrma @osazuwa and @ChenhaoTan presents a systematic review of GPT-class models performance on a number of causal benchmarks 🧵 (1/n) #causaltwitter #causality #python #nlp #llm #llms
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
❓ What are the sources of causal knowledge? - Randomized experiments - Personal expertise / domain knowledge - Causal discovery / structure learning Am I missing something important? #causality #causaltwitter
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
Bridging ideas in São Paulo Our dialogue made me realize how different choices can sometimes lead to very similar outcomes #causality #econtwitter #machinelearning 1/n
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
🍀 Here's a great survey paper on causal machine learning and open challenges by @jeankaddour and colleagues from @ucl and @UniofOxford Greatings from Berlin and hope to see you today at @PyConDE 2023! #causality #causaltwitter #machinelearning
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
10 months
When recently I told my client about this, he was shocked. The truth is that causes leave traces (sometimes). Here's how 👇🏼👇🏼👇🏼 1/n #causality #causalinference #python #machinelearning #causaltwitter #statistics #causaldiscovery
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
10 months
I adapted the code of chapter 3 of @CausalHuber 's book to Jupyter notebook to make it more accessible for the Python community. I introduced some minor improvements and added some visuals. You can check it here:
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
11 months
"We improved the F1 score by staggering 45% using CatBoost!" "Great! Do we already know which campaign we should send?" 1/n #causaltwitter #machinelearning #prediction #causality
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
🤷🏼‍♀️🤷🏽‍♂️🤷🏽‍♀️ What can we do when we cannot run an experiment and cannot build a valid causal graph, but want causal conclusions? 🧵 (1/3) #causality #machinelearning #statistics #dataanalysis #datascience #causaltwitter
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
🟠 Here's a brand new causal blog post 👇🏼 Guido Imbens & Susan Athey called this method "arguably the most important innovation in the policy evaluation literature in the last 15 years". #causaltwitter #causality #python #machinelearning
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
🤯 Most data scientists don't know that we can carry out unbiased causal inference under hidden confounding. (Sometimes) 🧵 (1/n) #causality #causalinference #python #machinelearning #estimation #causaltwitter
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
11 months
Can we meaningfully talk about causality in dynamical systems? Some people are puzzled when it comes to dynamical systems and the idea of causation. [PREMIERE TODAY] 👇🏼 1/n #CausalBanditsPodcast #causality #causaltwitter #dynamicalsystems #complexity
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
⭕ 𝗖𝗮𝘂𝘀𝗮𝗹𝗣𝘆 () A new kid on the block. CausalPy is based on @pymc_labs PyMC. Developed by PyMC’s prolific @inferencelab with contributions from @juanitorduz . CausalPy implements a bunch of methods to work with quasi-experimental data. (6/6)
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
😳 Correlation does not imply causation, but does causation imply correlation? Here's a secret 👇🏼👇🏼👇🏼 🧵 #causality #causalinference #python #machinelearning #datascience #statistics
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
Preparing for causal 2024? Here's my take on the Python's causal ecosystem from Q1 2023. Which packages (if any) should we add to the mix for 2024? 1/n
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
🦜 What's new in causality and LLMs in 60 seconds. Can LLMs be more than Causal Parrots? 🧵 (1/n) #causalinference #causality #nlp #llm #python #machinelearning #causaltwitter
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
🫣 Do we need to rethink The Ladder of Causation? 🧵 (1/n) Imagine that we take a broad look at causality and can see all causal perspectives combined... #causality #causalinference #causaldiscovery #machinelearning #python #deeplearning #causaltwitter
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
I used deep learning to predict the probability of churn. More people churned. There is a problem in industry that almost no one talks about. 🧵 (1/n)
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
👧🏽 Jane wants to perform a casual analysis in Python Should she use NumPy and Sci-kit Learn? Or can she do better? 🧵 (1/n) #causality #causalinference #python #machinelearning #causaltwitter
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
I picked the model with the highest R^2 and the lowest p-value. Lost $237k in less than a decade. 🧵 (1/n) #causality #finance #investing
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
👋🏼 Here are five evaluation metrics* for your causal discovery algorithms 🧵 (1/n) #causality #causaltwitter #python #machinelearning #datascience #causaldiscovery
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
11 months
Can normalizing flows help with hidden confounding? Here's NeuralCSA 1/n #causality #causaltwitter #machinelearning
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
11 months
Causality and dynamical systems? Yes. Next Monday. I'm super excited and honored to share with you next Monday (Dec 11) we're releasing a brand new episode of the #CausalBanditsPodcast featuring the amazing @NaftaliWeinberger . #causaltwitter #causality 1/n
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
💥 New perspectives on LLMs and Causality . (Freshly baked pre-prints!) 🧵 (1/n) #causality #causalinference #python #llms #causaltwitter
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
🙋🏽‍♀️ Can typing help us discover causal relationships in the data more efficiently? 🧵 (1/n) #causalinference #causality #causaldiscovery #python #machinelearning #causaltwitter
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
3️⃣ There are at least 3 reasons why I believe you should keep learning causality in 2023. Here's my take 👇 🧵 (1/n) #python #causality #causalinference #machinelearning #community #causaltwitter
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
🥷🏼 Here's a casual concept that even seasoned scientists & senior data scientists struggle with ...and 2 fresh resources that will help you master it 👇🏼👇🏼 🧵 💡 The code snippet presents an SCM model that we use in chapter 6 of my upcoming causal book
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
8 months
The room was almost completely full until the last minute. Our participants shared their thoughts and insights, sparking more engaging discussions. A summary tomorrow. At our Causal Parrots Workshop @RealAAAI #aaai2024 @devendratweetin @matej_zecevic
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
💥 We struggled with the super-exponential explosion for years. Today we can learn graphs continuously, but does it solve causal discovery? Learn more 👇🏼👇🏼👇🏼 🧵 (1/n) #causality #causaltwitter #python #machinelearning #datascience #statistics #causaldiscovery
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
On my way to Berlin to record new episodes of the Causal Bandits podcast, exploring a brand new causal book by @CausalHuber 💖 #causaltwitter #causality
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
9 months
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
10 months
This is also one of the reasons why non-causal approaches to root cause analysis fail. High variation is a (only) a (fallible) proxy of a factor's contribution importance.
@AndrewLampinen
Andrew Lampinen
10 months
First, many analyses (regression, PCA) assume high variance representation components are most important. But equally-important features may not carry equal variance; e.g. if a model computes easy (linear) and hard (nonlinear) tasks, the easy one dominates the representations! 3/
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
Just dropped a new blog post on causal discovery in Python. 💡 To learn more on causality join our fast growing Causal Python community here: #causality #causaldiscovery #python #machinelearning #causaltwitter #gcastle
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
10 months
Let's make Root Cause Analysis causal again! Two ways to find the source of a problem 1/n #rca #causality #causaltwitter
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
Have you ever wondered how to estimate causal effects from observational data in Python without losing weeks for implementation? Check my new blog post at @TDataScience to get the answer. #Python #causality #causalinference #causaltwitter
@TDataScience
Towards Data Science
2 years
Ready to jump-start your causal inference journey? @AleksanderMolak is here to help, with a clear, Python-based guide that explains how to estimate the causal effect of one variable on another variable from observational data.
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
⚡ BERT is biased... ...and so are other NLP methods when applied to causal tasks. Can we do better? Learn more 👇🏼👇🏼👇🏼 🧵 (1/n) #causality #causalinference #causaltwitter #python #machinelearning #nlp #bert
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
6 years
🧠 BrainBox and MicroDraw are real-time on-line collaborative tools for neuroscientists. Purely amazing! ❤️❤️❤️ @katjaQheuer at @BrainhackW
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
🧬 Generating synthetic data for causal discovery algorithms in 60 sec (There's a hook though!) 🧵 (1/n) #causality #causalinference #python #machinelearning #datascience #causaldiscovery #causaltwitter
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
I understood causality in just 5 tweets. Or 5 misconceptions about causality and causal modeling to avoid 🧵 (1/n) #causaltwitter #causality #machinelearning
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
11 months
The secret sauce for graphical (causal) models in Python. You probably don't want to miss this package. 1/n #causaltwitter #causality #graphicalmodels
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
🔍 Causal discovery Adding expert knowledge in 𝟯 𝘀𝗶𝗺𝗽𝗹𝗲 𝘀𝘁𝗲𝗽𝘀 [Jupyter Notebook] 🧵 (1/n) #causality #causaldiscovery #expertknowledge #python #machinelearning #causaltwitter
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
11 months
Yesterday, I visited the Center for Mathematical Sciences at @Cambridge_Uni to talk with @AliciaCurth . 1/2 #CausalBanditsPodcast
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
8 months
@matej_zecevic @Lianhuiq @amt_shrma @MSFTResearch @devendratweetin @kerstingAIML @emrek @yudapearl @guyvdb @AndrewLampinen @micmylin @CohrsKai @AniketVashisht8 @oscar_clivio @guyvdb 's talk about symbolic reasoning for LLMs has been eye-opening to many participants, and the presented idea of combining LLMs with hidden Markov models (HMMs) sparked many inspiring discussions. 11/n
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
4️⃣ Many data scientist are confused by this. Here are four questions that will help you pick the right causal inference model for you project 👇🏼👇🏼👇🏼 🧵 (1/n) #causality #causalinference #python #machinelearning #datascience #statistics
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
11 months
Yesterday, in Edinburgh, we met with @stephensenn for a conversation about randomization, causal inference, and challenges and opportunities in clinical trials and drug development. #causality #causaltwitter #rct 1/n
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
In their 2020 paper (), @analisereal and C. Hazlett from UCLA proposed a flexible method** that does not require assumptions on the functional form of the treatment assignment nor on the distribution of the unobserved confounders 🧵 (9/n)
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
8 months
Double trouble at AAAI (triple A I) What a ride! A summary. 🧵 1/n #causality #causaltwitter #aaai2024 @RealAAAI
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
10 months
Her work is often seen at NeurIPS, but do you know what keeps her going? From causal models in healthcare to inconvenient questions about machine learning, @AliciaCurth ( @Cambridge_Uni ) loves to ask "why?". 1/n #CausalBanditsPodcast #causaltwitter #ml
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
11 months
"There's no casual AI on major AI conferences." "?" As we approach the midpoint of #NeurIPS 2023, it's a great time to emphasize the delicious selection of papers accepted at this year's event. 1/n #causality #causalAI #machinelearning #causaltwitter
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
🧑🏼‍🚀 I get this question very often from causal learners with background in R. Yes, your favorite causal library is available in Python, my friends! 🧵 (1/n) #causality #causalinference #causaldiscovery #python #machinelearning #bayesian
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
💡 Want to play with ANM yourself? -> I implemented it for you -> check the notebook here: 🧵 (11/n)
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
🛢️ Data is the fuel. Causality is the engine. Want your engine to work smoothly in the long run? Let's think strategically about data storage and management. 🧵 (1/n) #causality #causalinference #python #causaltwitter #machinelearning #data #datamanagement #mlops
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
😱 Leaving computers on their own can be bad for you 👋🏼 Helping them can go a long way Here's my take on 3 tools and strategies to make causal inference more efficient with human-in-the-loop 🧵 (1/n) #causalinference #python #causaltwitter #machinelearning #causaldiscovery
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
@MattWalshBlog @MattWalshBlog controlling for "all relevant variables" is a bad startegy in most real-life analyses as it likely results in controlling for colliders, mediators or their descendants. Such controls will lead to arbitrary biases in the estimates, including sign flipping
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
💥 BAM! Ready to become a part of an event that bridges the gap between causal researchers & practitioners? 🧵 (1/n) The best part? It's 100% online! #python #causality #causalinference #causaldiscovery #machinelearning #python #conference #community #causaltwitter
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
9 months
Better model fit => more losses. Is it possible in a $2.5 trillion industry based on 1000s of academic papers? 1/10 🧵 #causalinference #causality #investing #finance #machinelearning #statistics #causaltwitter
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
🧠 Work smarter not harder Causality comes with a unique set of challenges, but sometimes causal problems can be solved efficiently based on what we already know. 🧵(1/n) #causality #causalinference #python #machinelearning #datascience #causaldiscovery
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
9 months
Who is he? If you know, I might have something for you The person in the photo (the one on the left) will be my guest in #CausalBanditsPodcast on Feb 5 I'll send one of the books in the image to one selected person, who: 1/n #causaltwitter #machinelearning #causality
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
9 months
Need ideas for causal discovery from time series data? Check this (works with hidden confounding). 1/🧵 #causaldiscovery #causalinference #machinelearning #causaltwitter
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
⌛ This idea is so counterintuitive that most of us don't even... think about it Proof? 🧵 (1/n) #python #causality #causalinference #machinelearning #econometrics #ai #statistics #causaltwitter #epitwitter #econtwitter
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
🏋🏽 Many people write about uplift, but most of them don't tell you how to deal with more complex scenarios Here's what you can do 👇🏼👇🏼👇🏼 🧵 (1/n) #causality #causaltwitter #python #machinelearning #datascience #statistics #uplift #marketanalysis #healthcare
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
♥️ Exciting talk on adding logical constraints to deep learning models by @guyvdb Guy Van den Broeck now @ Causal Workshop @ @NeurIPSConf #causality #causaltwitter #deeplearning
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
8 months
I had a ton of meaningful discussions on causality & world models during the yesterday's poster session Today we recorded a new episode of the #CausalBanditsPodcast with @emrek @MSFTResearch Warming up for our wrkshp on Tue @RealAAAI #aaai2024 #causaltwitter #MachineLearning
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
3️⃣ Three must-know facts about do-calculus This causal formalism is very powerful. Use with care. 🧵 (1/n) #causality #causalinference #python #machinelearning #mathematics #causaltwitter
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
✌🏼2️⃣ There are two causal concepts that will bend your statistical mind if you haven't heard about them before. (thrd🧵) #causality #causaltwitter #Python #machinelearning 💡 The code snippet below with comes from chapter 5 of my upcoming causal book:
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
2 years
Waiting for the dog-level intelligence check my friend @AjitJaokar 's ( @UniofOxford ) course on developing AI apps: #MachineLearning
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
9 months
A new revised version of @smueller , Ang Li & @yudapearl 's paper is here. Bounding individual effects by combining experimental & observational data, & structural information. Paper: #causality #causalinference #causaltwitter
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@AleksanderMolak
Aleksander Molak {'url': 'CausalPython.io'}
1 year
Happy to see that @DotReza 's copy has just arrived! 👏🏼👏🏼👏🏼
@DotReza
reza mirkhani
1 year
My copy just arrived! Joy 😊
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