Conference Agenda

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.

• Breakfast and morning refreshments: 8:30–10:30 a.m. daily. Included with registration.
• Afternoon coffee break: 2:00–4:00 p.m. daily.

Sunday, November 1, 2026

• 7:45 am–5:00 pm: Registration
  • Location: All
• 8:45 am–9:00 am: Opening Remarks
  • Speakers: Ron Wasserstein, Executive Director, ASA; Charlton McIlwain, Vice Provost, NYU
  • Chair: Yang Feng
  • Location: All
• 9:00 am–10:00 am: Keynote 1: Bin Yu, Not All Interpretations Are Created Equal: Principled Evaluation of AI Interpretability
  • Chair: Yang Feng
  • Location: Salon DE / Plenary
• 10:00 am–10:30 am: Morning Break
  • Location: All
• 10:30 am–12:00 pm: Parallel Sessions 1
  • Location: See session list
• 12:00 pm–1:30 pm: Lunch Break
  • Location: All
• 1:30 pm–3:00 pm: Parallel Sessions 2
  • Location: See session list
• 1:30 pm–5:00 pm: Short Courses
  • Location: Navy Yard and Brighton Beach
  • Navy Yard: SC01: Veridical Data Science in the Age of AI
  • Brighton Beach: SC02: Beyond the ATE
• 3:00 pm–3:30 pm: Afternoon Break
  • Location: All
• 3:30 pm–5:00 pm: Parallel Sessions 3
  • Location: See session list
• 5:00 pm–5:30 pm: Transition Break
  • Location: All
• 5:30 pm–6:30 pm: Keynote 2: Tian Zheng, Statistical Thinking and AI Education
  • Chair: Giles Hooker
  • Location: Salon DE / Plenary
• 6:30 pm–8:00 pm: Poster Session & Welcome Reception
  • Location: Salon F, G, H, and I
  • Included with conference registration.

Monday, November 2, 2026

• 7:45 am–5:00 pm: Registration
  • Location: All
• 9:00 am–10:00 am: Keynote 3: Dean Foster, Even LLMs Can Be Calibrated
  • Chair: Jiwei Zhao
  • Location: Salon DE / Plenary
• 10:00 am–10:30 am: Morning Break
  • Location: All
• 10:30 am–12:00 pm: Parallel Sessions 4
  • Location: See session list
• 12:00 pm–1:30 pm: Lunch Break
  • Location: All
• 1:30 pm–3:00 pm: Parallel Sessions 5
  • Location: See session list
• 1:30 pm–5:00 pm: Short Courses
  • Location: Navy Yard and Brighton Beach
  • Navy Yard: SC04: Statistical Foundations of Transfer Learning
  • Brighton Beach: SC05: Optimization for Statistics
• 3:00 pm–3:30 pm: Afternoon Break
  • Location: All
• 3:30 pm–5:00 pm: Parallel Sessions 6
  • Student Award Session chair: Nathaniel Sean O’Connell
  • Location: See session list; Student Award Session in Carroll Gardens
• 6:00 pm–8:30 pm: Banquet and Keynote: David Banks, The Future of Statistics
  • Chair: Wen Zhou
  • Location: Salon DE / Plenary
  • Advance banquet registration is required. Collect your banquet ticket and drink voucher with your name badge.

Tuesday, November 3, 2026

• 9:00 am–10:00 am: Keynote 4: David Rosenberg (with co-presenter Camilo Ortiz), Bond Price Nowcasting: A Statistical Learning Problem Without a Natural Home
  • Chair: Jing Lei
  • Location: Salon DE / Plenary
• 10:00 am–10:30 am: Morning Break
  • Location: All
• 10:30 am–12:00 pm: Parallel Sessions 7
  • Location: See session list
• 12:00 pm–1:30 pm: Lunch Break
  • Location: All
• 1:30 pm–3:00 pm: Parallel Sessions 8
  • Location: See session list
• 3:00 pm–3:30 pm: Afternoon Break
  • Location: All
• 3:30 pm–5:00 pm: Parallel Sessions 9
  • Location: See session list