DAG: skin cancer is caused by age and sunburn (via moving to Florida)
Directed Acyclic Graphs (DAGs) and Regression for Causal Inference
by Susan Alber (2022) health.ucdavis.edu/media-resour...
#intervention #policy #causality #causalInference #stats #statistics #counterFactuals #probabilities #causation #confounding
DAG: skin cancer is caused by age and sunburn (via moving to Florida)
Directed Acyclic Graphs (DAGs) and Regression for Causal Inference
by Susan Alber (2022) health.ucdavis.edu/media-resources/ctsc/doc...
#intervention #policy #causality #causalInference #stats #statistics […]
[Original post on hachyderm.io]
CEPAE: Conditional Entropy-Penalized Autoencoders for Time Series Counterfactuals
Tomas Garriga, Gerard Sanz, Eduard Serrahima de Cambra, Axel Brando
Action editor: Fredrik Johansson
https://openreview.net/forum?id=X6lrzqOtQo
#autoencoders #counterfactuals #counterfactual
#statstab #505 Beyond Confounders
Thoughts: What makes a good control and a bad control?
#counterfactuals #confounder #DAG #r #modelling #selectionbias #variance #control #causalinference
matheusfacure.github.io/python-causa...
"Mediators, confounders, colliders – a crash course in causal inference"
by Florian Hartig (2019): theoreticalecology.wordpress.com/2019/04/14/mediators-con...
#offPolicy #causality #causalInference #stats #statistics #counterFactuals […]
#statstab #485 Bayesian ANCOVA and the ATE
Thoughts: Still grappling with the implications of using the causal inference approach to randomized experiments. But it's interesting.
#ATE #causalinference #ancova #ANOVA #rstats #estimand #counterfactuals
solomonkurz.netlify.app/blog/2025-07...
Another book on my reading list for this year ...
The Science of Can and Can't by Chiara Marletto
www.youtube.com/watch?v=sej8...
#physics #counterfactuals #possibility
Quantum oracles give an advantage for identifying classical counterfactuals
Ciarán M. Gilligan-Lee, David Schmid et al.
Paper
Details
#QuantumComputing #Counterfactuals #QuantumInformation
New #J2C Certification:
Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE
Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh, Sunita Sarawagi
https://openreview.net/forum?id=vmmgFW3ztz
#counterfactuals #counterfactual #causal
Reproducibility study of "Competition of Mechanisms: Tracing How Language Models Handle Facts and...
Tijs Wiegman, Leyla Perotti, Viktória Pravdová, Ori Brand, Maria Heuss
Action editor: Alberto Bietti
https://openreview.net/forum?id=VCG6j3tcAA
#attention #counterfactuals #recall
On the Generalizability of "Competition of Mechanisms: Tracing How Language Models Handle Facts a...
Asen Dotsinski, Udit Thakur, Marko Ivanov, Mohammad Hafeez Khan, Maria Heuss
Action editor: Manuel Rodriguez
https://openreview.net/forum?id=15keyzQj9h
#counterfactuals #counterfactual
On the Generalizability of "Competition of Mechanisms: Tracing How Language Models Handle Facts and ...
New #TMLR-Paper-with-Video:
On the Generalizability of "Competition of Mechanisms: Tracing How Language Models Handle Facts and ...
Asen Dotsinski, Udit Thakur, Marko Ivanov, Mohammad Hafeez Khan, Maria Heuss
https://tmlr.infinite-conf.org/paper_pages/15keyzQj9h
#counterfactuals
Counterfactuals Boost Explainability of LLM Text Classification
A new study shows counterfactual reasoning reveals the most influential words in LLM text classification, boosting the decision changing rate. The paper was posted on 5 Oct 2025. Read more: getnews.me/counterfactuals-boost-ex... #llm #counterfactuals
Boosting Explainable AI with Narrative Counterfactuals
Researchers unveiled a pipeline that merges large and compact models to turn counterfactual data into stories, using distillation for edge‑device use. DOI: 10.48550/arXiv.2510.03134. Read more: getnews.me/boosting-explainable-ai-... #explainableai #counterfactuals
We love the idea of a “what if” in history – #counterfactuals and #alternativehistory.
Writing these stories stretches the imagination and is fun. But how to write in this framework?
Robert Harris does it, JD Robb does it. Here are a few #writingtips www.alison-morton.com/2016/06/28/h...
Willow Starr ja Alex Kocurek ovat päivittäneet SEP-entryään kontrafaktuaaleista,
https://plato.stanford.edu/entries/counterfactuals/
Käypiä välineitä jossittelun semantiikan analyysiin ja systematisointiin.
#kontrafaktuaali #counterfactuals #semantics #semantiika #logiikka #logic #filosofia […]
New #Reproducibility Certification:
Reproducibility study of "Competition of Mechanisms: Tracing How Language Models Handle Facts and...
Tijs Wiegman, Leyla Perotti, Viktória Pravdová, Ori Brand, Maria Heuss
https://openreview.net/forum?id=VCG6j3tcAA
#attention #counterfactuals
#AltHistory #AlternateHistory #WhatIf #HistoryReimagined #HistoricalFiction #SpeculativeHistory #Counterfactuals
Proximity Factor
www.smashwords.com/books/view/1...
Today's the day!
The state's court's decision on the election is today!
Do you have the morning paper?
He opened the newspaper.
From the book Proximity Factor
www.smashwords.com/books/view/1...
#AlternativeHistory #WhatIf #HistoryReimagined #TimelineTwists #SpeculativeHistory #HistoricalFiction #Counterfactuals #AlternateRealities #HistoryUnfolded #ImaginedPast
Next Wednesday, May 14th, I will give a presentation in the Explainable AI Seminars @ Imperial:
xaiseminars.doc.ic.ac.uk
I will talk about our recent work on #robust #counterfactuals and counterfactuals for #linear #optimization problems:
doi.org/10.1287/ijoc...
arxiv.org/abs/2405.15431
#statstab #323 Counterfactuals and G-Computation
Thoughts: Even {emmeans} can do funky stuff for observational studies, if that is your fancy.
#gcomputation #counterfactuals #observational #R #emmeans #design
cran.r-project.org/web/packages...
Welcome to our Employment Law Team’s March newsletter, edited by Joseph England, featuring analysis from Joseph, Gareth Grahan, Colin McDevitt and Matthew Curtis
#EmploymentLaw #StrikeOut #UnfairDismissal #MistakenBelief #RestrictiveCovenants #Counterfactuals
www.3pb.co.uk/newsletters/...
Good discussion with my MSc students about what kind of movie #Oppenheimer would have been if Germany lost in 1941 and nuclear weapons use didn't become an urgent choice. Then about how technology and war drive each other today. #counterfactuals @rhulpir.bsky.social
Brilliant. "The deep state": pre-emptive, risk-avoidance infrastructure - stupid people like Musk think "that's not productive therefore it's a waste of money".
Counterfactual thinking is hard.
"The deep state": making sure your kids don't get smallpox.
#Causalsky #Causality #Counterfactuals
Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE
Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh, Sunita Sarawagi
Action editor: Fredrik Johansson
https://openreview.net/forum?id=vmmgFW3ztz
#counterfactuals #counterfactual
‘He who does not act does not exist’ - Gottfried WilhelmLeibniz
‘I think therefore I am’ -
René Descartes
‘Thinking is acting in an imaginary world’ - Konrad Lorenz
#AI #AGI #CausalAI #Counterfactuals #Neurosymbolics
Following the success of Explainable AI in generating faithful and understandable explanations of complex ML models, there has been increasing attention on how the outcomes of Explainable AI can be systematically used to enable meaningful actions. These considerations are studied within the subfield of Actionable XAI. In particular, research questions relevant to this subfield include (1) what types of explanations are most helpful in enabling human experts to achieve more efficient and accurate decision-making, (2) how one can systematically improve the robustness and generalization ability of ML models or align them with human decision making and norms based on human feedback on explanations, (3) how to enable meaningful actioning of real-world systems via interpretable ML-based digital twins, and (4) how to evaluate and improve the quality of actions derived from XAI in an objective and reproducible manner. This special track will address both the technical and practical aspects of Actionable XAI. This includes the question of how to build highly informative explanations that form the basis for actionability, aiming for solutions that are interoperable with existing explanation techniques such as Shapley values, LRP or counterfactuals, and existing ML models. This special track will also cover the exploration of real-world use cases where these actions lead to improved outcomes.
CALL FOR PAPERS: #𝗫𝗔𝗜20𝟮𝟱, 𝗦𝗽𝗲𝗰𝗶𝗮𝗹 𝗧𝗿𝗮𝗰𝗸: Actionable explainable AI. Submit your paper until February 15, 2025.
xaiworldconference.com/2025/actiona...
#XAI #LRP #counterfactuals #shapley #models #deeplearning #interpretability #decisionmaking @lorenzlinhardt.bsky.social @tuberlin.bsky.social
Modeling Causal Mechanisms with Diffusion Models for Interventional and Counterfactual Queries
Patrick Chao, Patrick Blöbaum, Sapan Kirit Patel, Shiva Kasiviswanathan
Action editor: Varun Kanade
https://openreview.net/forum?id=EDHQDsqiSe
#counterfactuals #causal #causally
✈️ Headed to #NeurIPS2024 Presenting our paper on "Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory"
🎉 Wed 11 Dec 4:30 pm, Poster Session 2 East Exhibit Hall A-C #3303 #NeurIPS #XAI #Explainability #Privacy #Counterfactuals
Arxiv: arxiv.org/abs/2405.05369
Our work introduces a benchmarking framework for counterfactual image generation, with diverse metrics, datasets, & causal models. Let's discuss how we can push this exciting field forward!
#NeurIPS2024 #GenerativeAI #Counterfactuals #CausalInference #AIResearch
