BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Venue Radar//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:UAI 2027 Calendar BEGIN:VEVENT UID:uai-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270226T115900Z DTEND:20270226T125900Z SUMMARY:[Probabilistic\, Causal & Uncertainty ML][Machine Learning] UAI 202 7 - Paper submission deadline (estimated) DESCRIPTION:Conference title: Conference on Uncertainty in Artificial Intel ligence\nWebsite: https://www.auai.org/uai2026/\nSource URL: https://www. auai.org/uai2026/important_dates\nLocation: To be announced\nTopics: Prob abilistic\, Causal & Uncertainty ML\, Machine Learning\, Learning Theory & Statistical Foundations\nSize: L\nSubmission type: Paper-based\nConfide nce: estimated\nLast checked date: 2026-10-06\nNotes: Provisional 1-year cadence projection from UAI 2026. Meeting dates\, location\, and deadline s require organizer confirmation\; website and source links refer to the prior edition.\nScope: Learning and reasoning under uncertainty\, centere d on probabilistic and Bayesian modeling\, graphical models\, causal infe rence\, approximate inference\, and decision theory. Includes Monte Carlo and variational methods\, uncertainty quantification\, sequential models \, and principled analysis of learning algorithms. Uncertainty is the org anizing theme\, not just another application of general-purpose AI.\nAddi tional topics: Deep Representation Learning\, Reinforcement Learning\, Ti me Series & Sequential Data\, Explainability & Interpretability\, Robustn ess & Safety\nScope sources (2026): https://www.auai.org/uai2026/subject_ areas\, https://www.auai.org/uai2026/call_for_papers\nScope last checked: 2026-10-07 URL:https://www.auai.org/uai2026/important_dates END:VEVENT BEGIN:VEVENT UID:uai-2027-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270709T115900Z DTEND:20270709T125900Z SUMMARY:[Probabilistic\, Causal & Uncertainty ML][Machine Learning] UAI 202 7 - Camera-ready deadline (estimated) DESCRIPTION:Conference title: Conference on Uncertainty in Artificial Intel ligence\nWebsite: https://www.auai.org/uai2026/\nSource URL: https://www. auai.org/uai2026/important_dates\nLocation: To be announced\nTopics: Prob abilistic\, Causal & Uncertainty ML\, Machine Learning\, Learning Theory & Statistical Foundations\nSize: L\nSubmission type: Paper-based\nConfide nce: estimated\nLast checked date: 2026-10-06\nNotes: Provisional 1-year cadence projection from UAI 2026. Meeting dates\, location\, and deadline s require organizer confirmation\; website and source links refer to the prior edition.\nScope: Learning and reasoning under uncertainty\, centere d on probabilistic and Bayesian modeling\, graphical models\, causal infe rence\, approximate inference\, and decision theory. Includes Monte Carlo and variational methods\, uncertainty quantification\, sequential models \, and principled analysis of learning algorithms. Uncertainty is the org anizing theme\, not just another application of general-purpose AI.\nAddi tional topics: Deep Representation Learning\, Reinforcement Learning\, Ti me Series & Sequential Data\, Explainability & Interpretability\, Robustn ess & Safety\nScope sources (2026): https://www.auai.org/uai2026/subject_ areas\, https://www.auai.org/uai2026/call_for_papers\nScope last checked: 2026-10-07 URL:https://www.auai.org/uai2026/important_dates END:VEVENT BEGIN:VEVENT UID:uai-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270817 DTEND;VALUE=DATE:20270822 SUMMARY:[Probabilistic\, Causal & Uncertainty ML][Machine Learning] UAI 202 7 - Conference (estimated) DESCRIPTION:Conference title: Conference on Uncertainty in Artificial Intel ligence\nWebsite: https://www.auai.org/uai2026/\nSource URL: https://www. auai.org/uai2026/\nLocation: To be announced\nTopics: Probabilistic\, Cau sal & Uncertainty ML\, Machine Learning\, Learning Theory & Statistical F oundations\nSize: L\nSubmission type: Paper-based\nConfidence: estimated\ nLast checked date: 2026-10-06\nNotes: Provisional 1-year cadence project ion from UAI 2026. Meeting dates\, location\, and deadlines require organ izer confirmation\; website and source links refer to the prior edition.\ nScope: Learning and reasoning under uncertainty\, centered on probabilis tic and Bayesian modeling\, graphical models\, causal inference\, approxi mate inference\, and decision theory. Includes Monte Carlo and variationa l methods\, uncertainty quantification\, sequential models\, and principl ed analysis of learning algorithms. Uncertainty is the organizing theme\, not just another application of general-purpose AI.\nAdditional topics: Deep Representation Learning\, Reinforcement Learning\, Time Series & Seq uential Data\, Explainability & Interpretability\, Robustness & Safety\nS cope sources (2026): https://www.auai.org/uai2026/subject_areas\, https:/ /www.auai.org/uai2026/call_for_papers\nScope last checked: 2026-10-07 URL:https://www.auai.org/uai2026/ LOCATION:To be announced END:VEVENT END:VCALENDAR