WORKSHOP SCHEDULE
Please note that all times listed for the events are US Eastern Daylight Time
Wednesday, May 13
9:00 AM |
Registration, Breakfast, Welcoming Remarks |
9:30 AM |
Keynote Talk: Laurence Perreault-Levasseur |
10:30 AM |
Coffee Break |
11:00 AM |
Invited Talk: Trevor Harris - "Flow-based Conformal Predictive Distributions" |
11:30 AM |
Invited Talk: Jon Hobbs - "Uncertainty Quantification and Traceability for Remote Sensing of the Carbon Cycle" |
12:00 PM |
Lunch |
1:30 PM |
Lightning Talks |
2:15 PM |
Poster Session & Coffee Break |
4:00 PM |
Invited Talk: Brian Weaver - "A Statistical Adventure at a National Laboratory" |
4:30 PM |
Invited Talk: Lukas Heinrich |
Thursday, May 14
8:30 AM |
Registration & Breakfast |
9:00 AM |
Keynote Talk: Philip Harris - "Automating Particle (and Astro) Physics research with AI" |
10:00 AM |
Invited Talk: Oz Amram - "ML-based Model-Agnostic Signal Discovery in Particle Physics" |
10:30 AM |
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11:00 AM |
Invited Talk: Aishik Ghosh - "Before asymptopia: High-dimensional inference in small sample size regimes in particle physics" |
11:30 AM |
Invited Talk: Bodhisattva Sen - "Constrained Denoising, Empirical Bayes, and Optimal Transport" |
12:00 PM |
Lunch |
1:30 PM |
Lightning Talks |
2:15 PM |
Poster Session & Coffee Break |
4:00 PM |
Invited Talk: Ricardo Baptista - "A Mathematical Perspective on Contrastive Learning" |
4:30 PM |
Invited Talk: Nicholas M Boffi |
Friday, May 15
8:30 AM |
Registration & Breakfast |
9:00 AM |
Keynote Talk: Adam Sykulski - "Debiased Spatio-Temporal Inference" |
10:00 AM |
Lightning Talks |
10:45 AM |
Poster Session & Coffee Break |
12:30 AM |
Lunch |
2:00 PM |
Invited Talk: Yang Chen - "Spatial-temporal tensor completion methods with applications to space weather" |
2:30 PM |
Invited Talk: Joshua S Speagle - "Adaptive 'Frasian' Inference under Data-Prior Conflict" |
3:00 PM |
Coffee Break |
3:30 PM |
Invited Talk: Rachel Mandelbaum - "Statistical methods for large sky surveys: Opportunities and challenges" |
4:00 PM |
Invited Talk: Larry Wasserman - "Cows and Their Hybrids" |