@vahidbalazadeh.bsky.social
🚨 Introducing CausalPFN, a foundation model trained on simulated data for in-context causal effect estimation, based on prior-fitted networks (PFNs). Joint work with Hamid Kamkari, Layer6AI & @rahulgk.bsky.social 🧵[1/7]
📝 arxiv.org/abs/2506.07918
🔗 github.com/vdblm/Causal...
🗣️Oral@ICML SIM workshop
📝 arxiv.org/abs/2506.07918
🔗 github.com/vdblm/Causal...
🗣️Oral@ICML SIM workshop
June 11, 2025 at 1:13 PM
🚨 Introducing CausalPFN, a foundation model trained on simulated data for in-context causal effect estimation, based on prior-fitted networks (PFNs). Joint work with Hamid Kamkari, Layer6AI & @rahulgk.bsky.social 🧵[1/7]
📝 arxiv.org/abs/2506.07918
🔗 github.com/vdblm/Causal...
🗣️Oral@ICML SIM workshop
📝 arxiv.org/abs/2506.07918
🔗 github.com/vdblm/Causal...
🗣️Oral@ICML SIM workshop
How can we use offline expert data with unobserved confounding to guide exploration in RL? Our approach is to learn prior distributions from expert data and follow posterior sampling
Come to our poster #NeurIPS2024 today to learn more!
🗓️ Thu 12 Dec 4:30 - 7 pm PST
📍 West Ballroom A-D #6708
(1/5)
Come to our poster #NeurIPS2024 today to learn more!
🗓️ Thu 12 Dec 4:30 - 7 pm PST
📍 West Ballroom A-D #6708
(1/5)
December 12, 2024 at 4:05 PM
How can we use offline expert data with unobserved confounding to guide exploration in RL? Our approach is to learn prior distributions from expert data and follow posterior sampling
Come to our poster #NeurIPS2024 today to learn more!
🗓️ Thu 12 Dec 4:30 - 7 pm PST
📍 West Ballroom A-D #6708
(1/5)
Come to our poster #NeurIPS2024 today to learn more!
🗓️ Thu 12 Dec 4:30 - 7 pm PST
📍 West Ballroom A-D #6708
(1/5)