#causalml search results

📢 CBS Frontiers in Research หัวข้อ “Managerial Overrides and Algorithmic Decision-Making” โดย Prof. Howard Hao-Chun Chuang 🇹🇼 🗓 28 ต.ค. 68 | ⏰ 12.00–13.00 น. 📍คณะบัญชีฯ จุฬาฯ สำหรับผู้สนใจ operations, analytics และ causal ML 💡 👉 chula.ac.th/news/265474/ #CBS  #CausalML

🎉 Thrilled to share that my first paper “An End-to-End Pipeline for Causal ML with Continuous Treatments: An Application to Financial Decision Making” has been accepted at the KDD 2025 Causal ML Workshop! Presenting this Monday in Toronto 🇨🇦 #KDD2025 #CausalML

🚨 Hiring a postdoc @UCDavisBusiness! Work on causal inference + econometrics + ML: - Heterogeneous effects - Dynamic interventions - Censoring & noncompliance Strong stats theory + R/Python Start: Fall 2025 Apply → recruit.ucdavis.edu/JPF07156 #CausalML #EconTwitter #PostdocJobs

Grateful to present recent research @SFU International Conference in Statistics & Data Science 2025 Simon Fraser University in Vancouver on #TargetTrialEmulation using electronic health records to estimate average treatment effects & #CausalML conditional average treatment effect

⚠️ Few days left to apply! ⚠️ Applications from researchers **interested or with experience** in #CausalML are welcome! 📈🖥️

🔍 Causal ML for Predicting Treatment Outcomes 📅 March 12 | 🕓 16:00h 🎙️ By Valentyn Melnychuk Join us to explore how causal machine learning helps predict treatment effects with real-world impact! 🚀 #CausalML #MachineLearning #AI

Causal modeling opens fascinating discussions on perception versus intention in research. How we approach these chains vitalizes our learning processes. 🚀 #CausalML

🔍 Causal ML for Predicting Treatment Outcomes 📅 March 12 | 🕓 16:00h 🎙️ By Valentyn Melnychuk Join us to explore how causal machine learning helps predict treatment effects with real-world impact! 🚀 #CausalML #MachineLearning #AI

⚡️New #CausalML preprint: Constructing confidence intervals for average treatment effects from multiple datasets 👉 We use the prediction-powered inference (#PPI) framework to compute the #ATE from 1⃣small, unbiased dataset & 2⃣large but biased dataset arxiv.org/abs/2412.11511

🚀 Today we are presenting our paper "Benchmarking Counterfactual Image Generation"! If you're at @NeurIPSConf come by and chat with us! 📍 Where: West Ballroom A-D (#5008) Link: neurips.cc/virtual/2024/p… #NeurIPS2024 #Counterfactuals #CausalML

We will present this work at #NeurIPS2024 on Wednesday at 4:30pm local time in Vancouver. Poster #5107. Led by my PhD students @ZihanZhou390996 and @qasimelahi786. Paper link: openreview.net/forum?id=RfSvA… Follow us for more updates from the #CausalML Lab!

I will present this work at #NeurIPS2024 next Thursday at 11am local time in Vancouver. Poster #5104. Led by my PhD student @qasimelahi786. Joint work with my colleague Mahsa Ghasemi. Paper link: openreview.net/forum?id=uM3rQ… Follow us for more updates from the #CausalML Lab!

We will present this work at #NeurIPS2024 next Thursday at 11am local time in Vancouver. Poster #5103. Joint work led by my PhD student @musfiq_shohan and colleague @rev_bucket. Paper link: openreview.net/forum?id=vymku… Follow us for more updates from the #CausalML Lab!

I am thrilled to announce that I've been invited to discuss Causal Machine Learning(#CausalML). The talk is organized by Hamband, a scientific community ruled by Mathematics and CS students at @SharifSocial. this event will be held on November 20,2024.

Applied Causal Inference Powered by ML and AI arxiv.org/abs/2403.02467 #causalml

⚡️New #causalML preprint: 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐫𝐞𝐩𝐫𝐞𝐬𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧𝐬 𝐨𝐟 𝐢𝐧𝐬𝐭𝐫𝐮𝐦𝐞𝐧𝐭𝐬 𝐟𝐨𝐫 𝐩𝐚𝐫𝐭𝐢𝐚𝐥 𝐢𝐝𝐞𝐧𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐭𝐫𝐞𝐚𝐭𝐦𝐞𝐧𝐭 𝐞𝐟𝐟𝐞𝐜𝐭𝐬 👉We estimate CATE with *complex* instrumental variables (IVs) arxiv.org/abs/2410.08976

⚡️New preprint on #causalML: 𝐒𝐭𝐚𝐛𝐢𝐥𝐢𝐳𝐞𝐝 𝐍𝐞𝐮𝐫𝐚𝐥 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧 𝐨𝐟 𝐏𝐨𝐭𝐞𝐧𝐭𝐢𝐚𝐥 𝐎𝐮𝐭𝐜𝐨𝐦𝐞𝐬 𝐢𝐧 𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐓𝐢𝐦𝐞 arxiv.org/abs/2410.03514 w/ Konstantin

Very soon. The Causal ML articles and tutorials - a series will be developed my and. Sharing more information soon. #causalml #ml #ai #python #r #artificalintelligence

The @EssexSumSchool course on #CausalML has come to an end, and what an incredible journey it's been! 🚀✨ Thank you to everyone who joined us! 📚

I am looking for @uwcse PhD students, especially in but not limited to #causalinference, #causalML, #deeplearning, #datascience, #realworldproblems including #mentalhealth & #SocialGood. Learn more at bdata.io. If you're interested apply at cs.washington.edu/academics/phd/…

1/ How can causality help ML research? Introducing Causal Machine Learning: A Survey and Open Problems (arxiv.org/abs/2206.15475), written with @jeankaddour and Qi Liu. A thread #CausalML

9/ For those new to causal inference, we open the survey with a minimal introduction of causality concepts required for #CausalML.

The @EssexSumSchool course on #CausalML has come to an end, and what an incredible journey it's been! 🚀✨ Thank you to everyone who joined us! 📚

📢 CBS Frontiers in Research หัวข้อ “Managerial Overrides and Algorithmic Decision-Making” โดย Prof. Howard Hao-Chun Chuang 🇹🇼 🗓 28 ต.ค. 68 | ⏰ 12.00–13.00 น. 📍คณะบัญชีฯ จุฬาฯ สำหรับผู้สนใจ operations, analytics และ causal ML 💡 👉 chula.ac.th/news/265474/ #CBS  #CausalML

I am thrilled to announce that I've been invited to discuss Causal Machine Learning(#CausalML). The talk is organized by Hamband, a scientific community ruled by Mathematics and CS students at @SharifSocial. this event will be held on November 20,2024.

I'm at #NeurIPS2019 this week. Would love to get together and chat with folks interested in discussing #causalml and its applications

Causal ML: A Python Package for Uplift Modeling and Causal Inference with ML github.com/uber/causalml #CausalML #CausalAI #CausalInference #python #DataScience

Welcome to #CLeaR2023 @AmazonScience in Tübingen! Looking forward to four days of inspiring #causality #causalML talks!

Read our first blog post! 🚀 → Causal Models: Beyond the Limits of Traditional ML. buff.ly/3Ar7nIm #CausalML #CauseAndEffect

PhaseV, a company which specializes in causal machine learning (ML) technology that optimizes clinical trial design and analysis, raised $15M in funding. The company intends to use the funds to expand operations and its development efforts. #PhaseVInnovates #CausalML

Onsite organizers and keynote speakers lunch #CLeaR2023 @maxplanckpress @AmazonScience #causality #causalML

Maybe we *do* want machines to learn correlation instead of causation sometimes 😉 Courtesy of @SMBCComics: smbc-comics.com/comic/rise-of-… #causality #causalML #causalrobots #causalAI

Revolutionizing Personalized Medicine: The Promise and Challenges of Causal Machine Learning in Clinical Care itinai.com/revolutionizin… #CausalML #PersonalizedMedicine #HealthTech #AIforBusiness #CustomerEngagement #ai #news #llm #ml #research #ainews #innovation #artificialint…

📢 New publication to be presented at #MICCAI2024! 💪 A semi-supervised causal generative model for learning from a range of partially annotated data settings. 👀 Check out our research: arxiv.org/abs/2403.18717 #causalml #medicalimaging (1/4)

Honored to contribute to @Github Archive Program. Glad that #causalml and #kaggler repos are included. Looking forward to getting PRs from aliens some (million years) time later 👽❄️

Grateful to present recent research @SFU International Conference in Statistics & Data Science 2025 Simon Fraser University in Vancouver on #TargetTrialEmulation using electronic health records to estimate average treatment effects & #CausalML conditional average treatment effect

Our next blog is up! 🕸️ Untangling The Causal Web: The Mutual Adjustment Fallacy buff.ly/3n01kYd If you do any data analysis, you need to be aware of the mutual adjustment fallacy (or Table 2 Fallacy). #causalML #datascience

#CausalML surpassed 1,000 stars at #Github! Thanks for the support. Many new updates are in the pipeline. Please stay tuned. :) github.com/uber/causalml @UberOpenSource

Our #CausalML poster won the 1st prize at @Uber's annual #UberML conference! 🥇👍 So proud of the team! Full attribution & job posting can be found here: linkedin.com/posts/jeongyoo… @UberOpinions