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Monday (27/10/25)Tuesday (28/10/25)Wednesday (29/10/25)Thursday (30/10/25)Friday (31/10/25)
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09:00–10:15Welcome (30 min); Spotlight introductions (45 min, 1‑slide presentations)Workgroup Session 3: Bayesian Methods for Large Language ModelsWorkgroup Session 5: The Role of Bayes in the New Era of AIWorkgroup Session 6: Online Inference and Efficient Bayesian ComputingWorkgroup Session 8: Graphical Models & Compression in Bayesian Learning
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10:15–10:45Coffee breakCoffee breakCoffee break + PHOTOCoffee breakCoffee break
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10:45–12:00IcebreakerGuided discussion 2: "Bayesian inference is useless unless it scales to LLMs"Guided discussion 4: "Working with foundation models requires us to consider new forms of uncertainty."Guided discussion 5: "Does it make sense to define priors over models with millions of parameters? "Concluding session – Discussing future steps
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12:00–14:30LunchLunch & Poster SessionLunchLunchLunch
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14:30–15:45Workgroup Session 1: Bayesian Adaptation & Posterior CorrectionWorkgroup Session 4: Uncertainty Quantification in MLDesert tour and dinnerWorkgroup Session 7: Continual Bayes
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15:45–16:15Coffee breakCoffee breakCoffee break
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16:15–17:15Workgroup Session 2: Decision-Focused Bayesian MLGuided discussion 3: "Quantifying uncertainty is not a real problem."Guided discussion 6: "We don't have enough success stories for Bayes"
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17:15–17:45Guided discussion 1: "We should care about decisions, not predictions"Social activity and dinnerFree time
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18:00–open endConference dinner
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Food
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Conference event
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