
Matej Zečević
@matej_zecevic
Please feel invited to visit matej-zecevic.de for open-access articles on various topics and discuss.causality.link for weekly sessions on causality for AI/ML.
ID: 1437450724540039174
https://ml-research.github.io/people/mzecevic/ 13-09-2021 16:19:07
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Kind reminder: this week in the CDG we are happy to have Celestine Mendler-Dünner discussing their NeurIPS Conference '22 paper "Anticipating Performativity by Predicting from Predictions" (openreview.net/pdf?id=80RnitD……) Join @ discuss.causality.link 🌿

This week in the CDG we are happy to have Myrl Marmarelis discussing their NeurIPS Conference'22 WS CML paper "Bounding the Effects of Continuous Treatments for Hidden Confounders" (openreview.net/pdf?id=kiKepH1…) Free to attend @ discuss.causality.link 🌿


This Wed. 10:30 ET at the CDG we are honored to have @MichelBesserve discussing their CLeaR-Conference on Causal Learning and Reasoning paper: Cause-effect inference through spectral independence in linear dynamical systems..(proceedings.mlr.press/v177/besserve2…) All info & links @ discuss.causality.link 🌿


Upcoming Wed. 10:30 ET (18th Oct) at the CDG we are honored to have @JonasChoice discussing their paper: Foundations of Causal Discovery on Groups of Variables (arxiv.org/pdf/2306.07047…) All info & links @ discuss.causality.link 🌿 cc: Jakob Runge

This Wed. 10:30 ET (25th Oct.) at the CDG we are honored to have Shachi Deshpande discussing their NeurIPS Conference paper: Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstr. Proxies (proceedings.neurips.cc/paper_files/pa…) All info & links @ discuss.causality.link 🌿

This upcoming Wed. 10:30 ET (15th Nov.) at the CDG we are honored to have Taro Makino discussing their NeurIPS Conference paper: Generative multitask learning mitigates target-causing confounding (proceedings.neurips.cc/paper_files/pa…) All info & links @ discuss.causality.link 🌿 cc: Kyunghyun Cho

This Wed. 10:30 ET (22nd Nov.) at the CDG we are honored to have Chi Zhang discussing their NeurIPS Conference paper: Causal Inference w Non-IID Data using Linear Graphical Models (ftp.cs.ucla.edu/pub/stat_ser/r…) All info & links @ discuss.causality.link 🌿 cc: Judea Pearl Karthika Mohan

This Wed. 10:30 ET (29th Nov.) @ CDG we are honored to see Divyat Mahajan with their CLeaR-Conference on Causal Learning and Reasoning paper: Towards efficient representation identification in SL (proceedings.mlr.press/v177/ahuja22a/…) All info & links @ discuss.causality.link 🌿 cc: Kartik Ahuja Vasilis Syrgkanis Ioannis Mitliagkas (Γιάννης Μητλιάγκας)

This Wed. 10:30 ET (6th Dec.) @ CDG we are honored to see Yan Zeng with their CLeaR-Conference on Causal Learning and Reasoning paper: "Causal Discovery for Linear Mixed Data" (proceedings.mlr.press/v177/zeng22a/z…) All info & links @ discuss.causality.link 🌿 cc: SHIMIZU Shohei | 清水 昌平 Hidetoshi Matsui(松井秀俊)

Following this week's NeurIPS Conference, next week in the CDG we will have our traditional end-of-the-year recap session, speedrunning what we have seen in the 38 (!) super fun CDG sessions of 2023. As always, open access via the links provided at discuss.causality.link 🌿

Happy New Year! ✨ CDG kicks off 2024 Wed. 10:30 ET (10th Jan.) with Graham Van Goffrier & their CLeaR-Conference on Causal Learning and Reasoning paper: "Estimating long-term causal effects from short-term experiments [..]" (proceedings.mlr.press/v213/goffrier2…) As usual @ discuss.causality.link 🌿 cc: Lucas Maystre Ciarán Gilligan-Lee

Next Wed. 10:30 ET (24th Jan.) @ CDG we are honored to see Valentina Zantedeschi with their paper: "Causal Discovery with LMs as Imperfect Experts" (openreview.net/pdf?id=RXlvYZA…) All info & links @ discuss.causality.link 🌿 cc: @_stephanielong_ Alexandre L.-Piché Tibor Schuster Alexandre Drouin

Next Wed. 10:30 ET (14th Feb.) @ CDG we are honored to see D. Ibeling (web.stanford.edu/~duligur/) with their NeurIPS Conference'23 paper: "Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions" All info & links @ discuss.causality.link 🌿

Later today: 10:30 ET @ CDG we are honored to see Shantanu Gupta with their CLeaR-Conference on Causal Learning and Reasoning'23 paper: "Local Causal Discovery for Estimating Causal Effects" (proceedings.mlr.press/v213/gupta23b/…) All info & links @ discuss.causality.link 🌿 cc: Rachel Leah Childers Zachary Lipton