The University of Florida Department of Statistic’s Annual Winter Workshop will take place on January 13-14, 2023 (Friday-Saturday). The workshop will be Hybrid with both in-person attendance in the J. Wayne Reitz Union and virtual via Zoom. To register, go to: https://reg.conferences.dce.ufl.edu/SSP/1400087169

TITLE: Modern Computational Statistics

ABSTRACT:

Contemporary problems in statistics and data science almost always involve solving an optimization or computation problem.  Therefore, effective computational algorithms are of crucial importance in both practical and theoretical world.  This workshop brings together experts who have done pathbreaking work in modern computational statistics.  The objectives of the workshop include discussing recent developments in nonconvex optimization, distributed optimization, MCMC, variational methods and more; identifying important problems and new research directions, stimulating interest and fostering collaborations among young researchers.

Invited Guest Speakers

Ten national researchers on AI will report on their latest research.  

Yuejie Chi, Professor, Department of Electrical & Computer Engineering, Carnegie Mellon University, (virtual speaker), “Offline Reinforcement Learning: Towards Optimal Sample Complexity and Distributional Robustness”
Matt Hoffman, Research Scientist, Google,(virtual speaker), “Running Many-Chain MCMC on Cheap GPUs”
Yufeng Liu, University of North Carolina, (virtual speaker), “Distribution-Free Contextual Dynamic Pricing”
Rajesh Ranganath, Assistant Professor, Computer and Data Science, New York University, “Out of Distribution Generalization”
Max Simchowitz, Postdoctoral Researcher, CSAIL, Massachusetts Institute of Technology, “Randomized Smoothing, Online Learning, and Planning Through Contact”
Ambuj Tewari, Professor, Department of Statistics and Department of EECS, University of Michigan, (virtual speaker), “The Tortoise and the Hare: How Learning Theory is Catching Up to Applied Machine Learning”
Martin Wainwright, Cecil H. Green Professor, Massachusetts Institute of Technology, “Computational‐statistical Interplay in Reinforcement Learning”
Yuting Wei, Assistant Professor, Department of Statistics & Data Science, Wharton School, University of Pennsylvania, (virtual speaker), “A Non-asymptotic Framework for Approximate Message Passing”
Hua Zhou, Professor, Department of Biostatistics, University of California, Los Angeles, (virtual speaker), “Orthogonal Trace-sum Maximization: Applications, Local Algorithms, and Global Optimality”
Hui Zou, Professor of Statistics, University of Minnesota, (virtual speaker), “High-dimensional Clustering via Latent Semiparametric Mixture Models”

PROGRAM: https://informatics.research.ufl.edu/wp-content/uploads/Stats-2023-WW-Program-Final.pdf

Agenda:

Friday, January 13, 2023

• 8:30AM – 9:00AM	Registration and Zoom waiting room open, Breakfast (Rm. 2365)	Auditorium
  9:00AM –   9:15AM	CONFERENCE WELCOME Michael Daniels, Chair, Department of Statistics	Auditorium
  9:15AM – 10:45AM	SESSION 1 Chair: Michel Daniels Martin Wainwright, “Computational‐statistical Interplay in Reinforcement Learning” Yuting Wei (virtual), “A Non-asymptotic Framework for Approximate Message Passing”	Auditorium
  10:45AM – 11:00AM	MORNING BREAK	Room 2365
  11:00AM – 11:45AM	SESSION 2 Chair: Aaron Molstad Rajesh Ranganath , “Out of Distribution Generalization”	Auditorium
  11:45AM – 1:00PM	LUNCH	Room 2365
  1:00PM – 2:30PM	SESSION 3 (VIRTUAL) Chair: Kshitij Khare Hui Zou (virtual), “High-dimensional Clustering via Latent Semiparametric Mixture Models” Ambuj Tewari (virtual), “The Tortoise and the Hare: How Learning Theory is Catching Up to Applied Machine Learning”	Auditorium
  2:30PM – 2:45PM	AFTERNOON BREAK	Room 2365
  2:45PM – 3:30PM	SESSION 4 (VIRTUAL) Chair: Hani Doss Matt Hoffman (virtual), “Running Many-Chain MCMC on Cheap GPUs”	Auditorium
  3:30PM – 4:30PM	POSTER SESSION	Room 2335

Travel Awards Competition for Poster Presenters [Deadline for abstract submissions is December 20, 2022]

The Poster Presentation Session is open to graduate students, postdoctoral researchers and junior faculty.

Travel awards will be awarded to poster presenters who are external to UF and attending live in-person.

In addition, applications will be accepted for review from both anyone attending live/in-person or virtual.

Poster requirements, should you be selected:
48 inches x 36 inches
Each poster display should include a lettered sign giving the title and name(s) of the presenter(s). This sign should be 6 inches with letters at least 2 inches high in a bold font.
Text should be limited to four or five pages of double-spaced, 16-20 point text.

All selected poster presenters will still be required to registers as normal attendees of the conference.

Submission of poster application, click HERE.

Conferences Organizers: Dr. Zhihua Su, Associate Professor and Workshop Chair, Dr. George Michailidis, Director of UF Informatics Institute, Dr. Aaron Molstad, Assistant Professor of Statistics, Dr. Michael Daniels, Chair of Dept. of Statistics

Conference Sponsors: UF Statistics Department, UF Informatics Institute, Infotech Consulting

UF Statistics 2023 Winter Workshop
Friday-Saturday, January 13-14, 2023
8:00AM – 5:00PM
Hybrid – In-person and virtual via Zoom
J. Wayne Reitz Union – Auditorium

The Stats Winter Workshop is co-sponsored by the University of Florida Informatics Institute, Department of Statistics, and InfoTech Consulting.

REGISTRATION FEES: Payable online by credit card.

For more information, contact workshop organizers at winterworkshop@stat.ufl.edu. 

The Program is Sponsored By:

LOCATION:

Friday-Saturday, January 13-14, 2023
J. Wayne Reitz Union
655 Reitz Union Drive 
Gainesville, FL 32611

Location and Hotels