9th Bayesian, Fiducial, and Frequentist (BFF) Conference
03-12-2025
About BFF 9:
The BFF9 on May 12-14, 2025 is hosted by the Department of Statistics in Purdue Indy. The event will be held at the Tower Ballroom Foyer.
We are still finalizing the details. More information will be available soon. Thank you for your patience!
- Poster Session
- Banquet Information
Important Links:
Unfortunately, registration is closed and we are unable to accommodate further participants.
Keynote Speaker Link
Standard Registration Link
Poster presentations are available for students and junior researchers. Travel support is provided for selected student and junior presenters.
About BFF:
The Bayesian, Fiducial, and Frequentist (BFF) community began in 2014 to facilitate scientific exchange among data scientist and scholars in related fields that develop new methodologies and within the foundational principles of data science. The community encourages and promotes research activities to bridge foundations on data-based decisions to facilitate objective and replicable scientific learning, and to develop analytic and computing methodologies for data analysis.
Over the last 10 years, BFF conferences have served as a venue to bring together researchers and practitioners from Bayesian analysis, fiducial statistics, and frequentist statistics with interest important open problems in both theory and implementation, and most importantly discuss future directions of such research. The diversity of the conference attendees has created a dynamic, in-depth exchange of thoughts and ideas like no other conference in data science.
Keynote Speakers
Xihong Lin, Harvard University
Karen Lynn Price, Eli Lilly
Jun Liu, Harvard University and Tsinghua University
Banquet Speaker
Xiaoli Meng, Harvard University
Invited Speakers
Antik Chakraborty, Department of Statistics, Purdue University
Armine Bagyan, Department of Statistics, Penn State University
Bill Prucka, Eli Lilly
Bryon Aragam, Chicago Booth School of Business, University of Chicago
Daniel Alabi, Department of Electrical and Computer Engineering, University of Illinois, Urbana-Champaign
Faming Liang, Purdue University
Fang Liu, University of Notre Dame
Guanyu Hu, The university of Texas Health Science Center at Houston
Hui Zou, School of Statistics, U of Minnesota
James Bailie, Department of Statistics, Harvard University
Jan Hannig, Department of Statistics and Operations Research, University of North Carolina at Chapel Hill
Jianwei Chen, San Diego State University
Jing Lei, Carnegie Mellon University
Kyle Cranmer, Department of Physics, University of Wisconsin
Leonardo Cella, Wake Forest University
Li Wang, Abbvie
Lingsong Zhang, Purdue Unversity
Linjun Zhang, Department of Statistics, Rutgers University
Marco Avella-Medina, Department of Statistics, Columbia University
Jian Huang, Department of Applied Mathematic, Hong Kong Polytechnic University
Nicole Pashley, Rutgers University
Peter Song, Department of Statistics, University of Michigan
Ping Ma, University of Georgia
Quan Zhou, Texas A&M Unversity
Razieh Nabi, Rollins School of Public Health, Emory University
Richard Payne, Eli Lilly
Run Zhang, Unlearn AI
Sally Paganin, Department of Statistics, Ohio State University
Sherry Xinlei Wang, The University of Texas at Arlington
Thomas Lee, UC Davis
Veronika Rockova, Chicago Booth School of Business, University of Chicago
Weijie Su, University of Pennsylvania
Weixin Yao, Department of Statistics, UC-Riverside
Xiaoli Meng, Harvard University
Xiaotong Shen, School of Statistics, U of Minnesota
Xinran Li, University of Chicago
Xiwei Tang, University of Texas at Dallas
Ya'acov Ritov, Department of Statistics, University of Michigan
Yazhen Wang, University of Wisconsin- Madison
Yichen Cheng, Georgia State University
Ying Nian Wu, Department of Statistics, UCLA
Ying Nian, University of California, Los Angeles
Yves Atchadé, Department of Mathematics and Statistics, Boston University
Zhanyu Wang, Research Scientist, Meta
Schedule
Presentation Schedule for BFF9
Day 1: May 12, 2025
7:30am--8:15am Breakfast
8:15am—8:30am Opening Remark (Chair: Xiao Wang)
8:30am—9:15 am Keynote Presentation: Xihong Lin
9:15am—10:30 am Session 1 (3 talks) : BFF in Machine Learning (Chair: Xiao Wang)
Yazhen Wang, Ping Ma, Xiaoli Meng
10:30am--10:45am Break
10:45am—12:25pm Session 2 (4 talks): BFF in fairness and statistical learning (Chair: Fei Xue)
Razieh Nabi, Linjun Zhang, Debarghya Mukherjee, Xiwei Tang.
12:25pm--1:30pm Lunch
1:30pm—3:10pm Session 3 (4 talks): Statistical Inference with AI (Chair: Faming Liang)
Thomas Lee, Jing Lei, Weijie Su, Faming Liang
3:10pm--3:30pm Break
3:30pm--5:10pm Session 4 (talks): Causal Inference (Chair: Lingsong Zhang)
Nicole Pashley, Xinran Li, Li Wang, Lingsong Zhang
Day 2: May 13, 2025
7:30am--8:30am Breakfast
8:30am—9:15 am Keynote Presentation: Karen Lynn Price (Chair: Richard Payne)
9:15am—10:30 am Session 5 (3 talks): BFF in Industry (Chair: Richard Payne)
Run Zhuang, Amir Nikooie, Nicole Hu.
10:30am--10:45am Break
10:45am--12:25pm Session 6 (4 talks): Generative AI for Statistical Inference (Chair: Xiao Wang)
Veronika Rockova, Xiaotong Shen, Kyle Cranmer, Fang Liu
12:25pm--1:30pm Lunch
1:30pm--3:10pm Session 7 (4 talks): Logic of Science (Chair: Chuanhai Liu)
Jan Hannig, Jian Huang, Peter Song, Leonardo Cella
3:10pm--3:30pm Break
3:30pm--5:10pm Session 8 (talks): BFF in Modern Data Science (Chair: Drew Yarger)
Guanyu Hu, Xinyu Tian, Tate Jacobson, Drew Yarger
5:10pm—6:30pm Poster Session
Banquet: 6:30pm—8:30pm
Speaker: Xiaoli Meng
Title: No Free Lunch (or Dinner): From a Simultaneous (Machine) Learning Impossibility to Heisenberg Uncertainty Principle
Day 3: May 14, 2025
7:30am--8:30am Breakfast
8:30am—9:15 am Keynote Presentation: Jun Liu (Chair: Faming Liang)
9:15am—10:30 am Session 9 (3 talks): Statistical Computing in the Era of AI (Chair: Faming Liang)
Sherry Wang, Yichen Cheng, Quan Zhou
10:30am--10:45am Break
10:45am--12:25pm Session 10 (4 talks) : Bayesian inference and sampling algorithms under intractable likelihood and latent variable models. (Chair: Anindya Bhadra)
Yves Atchadé, Sally Paganin, Antik Chakraborty, Ying Nian Wu
12:25pm--1:30pm Lunch
1:30pm--3:10pm Session 11 (4 talks): Nonparametric Statistics in the Era of AI (Chair: Michael Levine)
Ya'acov Ritov, Bryon Aragam , Armine Bagyan, Weixin Yao
3:10pm--3:30pm & Break
3:30pm--5:10pm Session 12 (talks): Statistical Inference for Privatized Data (Chair: Jordan Awan)
Marco Avella Medina, Daniel Alabi, Zhanyu Wang, James Bailie
Hotel Information
Homewood Suites by Hilton Indianapolis Downtown IUPUI
Hampton Inn Indianapolis Downtown IUPUI
Residence Inn Indianapolis Downtown on the Canal
Courtyard Indianapolis at the Capitol
Courtyard Indianapolis Downtown
Springhill Suites Indianapolis Downtown
Fairfield Inn & Suites Indianapolis Downtown
Registration
Early Bird Special ends on April 2
Non-Student Registration $250
Student Registration $150
Eiteljorg Banquet Registration $50
Sponsors
We thank the following sponsors for their support of the 9th BFF conference
Corporate Support has always been and will continue to be a critical factor in the success of the BFF conference and Purdue Statistics Program. Contributed funds support student awards, reimburse keynote speakers, cover the cost of program books and bags, etc. Sponsoring BFF9 offers your company a unique opportunity to demonstrate leadership in the industry, support cutting-edge research, and recognize the critical role statisticians play in advancing business and science. Your contribution at any level will be appreciated.
Join us as a sponsor, exhibitor, or advertiser in Indianapolis, IN on May 2025 to reach a broad domestic and international audience through the 9th BFF Conference.
| Benefits | Gold Level (5,000 and more) |
Silver Level (3,000 and more) |
Bronze Level (1,000 and more) |
| Acknowledgement during the opening remarks | Yes | Yes | Yes |
| All plenary sessions will shown as “sponsored by your company” | Yes | Yes | Yes |
| Your company’s name and logo featured in the conference program and materials | Yes | Yes | |
| The poster session will be named “Poster session sponsored by your company” | Yes | Yes | |
| Exhibition booth | Yes | ||
| Acknowledgement during the dinner banquet | Yes |