Conference Agenda (tentative)

The agenda below is tentative and subject to change. Detailed invited-session room assignments are listed on the Parallel Sessions page. Short-course descriptions and instructor information are listed on the Short Courses page.

Sunday, November 1, 2026

• 7:45 am–5:00 pm: Registration
  • Location: All
• 8:45 am–9:00 am: Opening Remarks
  • Location: All
• 9:00 am–10:00 am: Keynote 1: Bin Yu, Veridical Deep Learning: Evaluation and Compositionality
  • Location: ABCD / Plenary
• 10:00 am–10:30 am: Morning Break
  • Location: All
• 10:30 am–12:00 pm: Parallel Sessions 1
  • Location: Rooms 1–13
• 12:00 pm–1:30 pm: Lunch Break
  • Location: All
• 1:30 pm–3:00 pm: Parallel Sessions 2
  • Location: Rooms 1–10
• 1:30 pm–5:00 pm: Short Courses
  • Location: Rooms 11–13
  • Room 11: SC01: Veridical Data Science in the Age of AI
  • Room 12: SC02: Beyond the ATE
  • Room 13: SC03: Statistical and Algorithmic Foundations of Diffusion Models
• 3:00 pm–3:30 pm: Afternoon Break
  • Location: All
• 3:30 pm–5:00 pm: Parallel Sessions 3
  • Location: Rooms 1–10
• 5:00 pm–5:30 pm: Transition Break
  • Location: All
• 5:30 pm–6:30 pm: Keynote 2: Tian Zheng, Statisticians in AI Education
  • Location: ABCD / Plenary
• 6:30 pm–8:00 pm: Poster Session
  • Location: ABCD / Plenary

Monday, November 2, 2026

• 7:45 am–5:00 pm: Registration
  • Location: All
• 9:00 am–10:00 am: Keynote 3: Dean Foster, Statistics and LLMs
  • Location: ABCD / Plenary
• 10:00 am–10:30 am: Morning Break
  • Location: All
• 10:30 am–12:00 pm: Parallel Sessions 4
  • Location: Rooms 1–13
• 12:00 pm–1:30 pm: Lunch Break
  • Location: All
• 1:30 pm–3:00 pm: Parallel Sessions 5
  • Location: Rooms 1–10
• 1:30 pm–5:00 pm: Short Courses
  • Location: Rooms 11–13
  • Room 11: SC06: Deep Learning Methods in Advanced Statistical Problems
  • Room 12: SC04: Statistical Foundations of Transfer Learning
  • Room 13: SC05: Optimization for Statistics
• 3:00 pm–3:30 pm: Afternoon Break
  • Location: All
• 3:30 pm–5:00 pm: Parallel Sessions 6
  • Location: Rooms 1–9; Student Award Session in Room 10
• 6:00 pm–8:30 pm: Banquet and Keynote: David Banks, The Future of Statistics
  • Location: ABCD / Plenary

Tuesday, November 3, 2026

• 9:00 am–10:00 am: Keynote 4: David Rosenberg (with co-presenter Camilo Ortiz), Bond Price Nowcasting: Some Assembly Required
  • Location: ABCD / Plenary
• 10:00 am–10:30 am: Morning Break
  • Location: All
• 10:30 am–12:00 pm: Parallel Sessions 7
  • Location: Rooms 1–13 and ABCD
• 12:00 pm–1:30 pm: Lunch Break
  • Location: All
• 1:30 pm–3:00 pm: Parallel Sessions 8
  • Location: Rooms 1–13 and ABCD
• 3:00 pm–3:30 pm: Afternoon Break
  • Location: All
• 3:30 pm–5:00 pm: Parallel Sessions 9
  • Location: Rooms 1–13 and ABCD

Note: The agenda is tentative. Please check back for updates.