Advanced Statistical Methods Meet Machine Learning

Name: Advanced Statistical Methods Meet Machine Learning
Start: 2018-09-24T09:00:00-05:00
End: 2018-09-25T17:00:00-05:00
Location: Argonne - Bldg 241

24 Sep 2018, 09:00 → 25 Sep 2018, 17:00 US/Central

D172 (Argonne - Bldg 241)

D172

Argonne - Bldg 241

9700 Cass Ave, Lemont, IL 60439

Salman Habib (Argonne National Laboratory)

Description

The workshop on "Advanced Statistical Methods Meet Machine Learning" will cover a number of topics in Bayesian statistics, non-parametric regression, model selection and object classification in the presence of noisy and low-dimensional data, unsupervised learning contrasting classical methods and deep learning, parameter sampling in high-dimensional spaces, applications of optimization and iterative methods, and the use of high-performance computing in modern data-intensive science, with a focus on cosmological applications and statistical inverse problems.

Participants

Ahmed Attia
Andrew Hearin
Antonio Villarreal
Arindam Fadikar
Boya Zhang
Carlo Graziani
Chi-Ting Chiang
Dan Korytov
David Blyth
David Higdon
Derek Bingham
Earl Lawrence
Emil Constantinescu
Esteban Rangel
Eve Kovacs
JD Emberson
Joe Hollowed
Julio Jonas Chaves Montero
Katrin Heitmann
Marcel Demarteau
Mason Kehs
Matthew Becker
Matthew Plumlee
Nesar Ramachandra
Nicholas Frontiere
Patricia Larsen
Prasanna Balaprakash
Rajeev Thakur
Robert Gramacy
Salman Habib
Sandeep Madireddy
Sergei Chekanov
Shinjae Yoo
Stefan Wild
Vallary Bhopatkar
Vishwas Rao
Xiao-Yong Jin
Yuewei Lin
Zarija Lukic

Monday, 24 September
- Sun, 23 Sep
- Mon, 24 Sep
- 09:00 → 09:30
  
  SciDAC-4 project overview 30m
- 09:30 → 10:30
  
  Emulation applications/discussion 1 1h
  
  "Classical" methods
- 10:30 → 11:00
  
  Coffee Break / Informal Discussion 30m
- 11:00 → 12:00
  
  Emulation applications/discussion 2 1h
  
  AI Methods
- 12:00 → 13:00
  
  Working Lunch 1h
- 13:00 → 14:00
  
  Statistical inverse problems 1 1h
  
  "Classical" Methods
- 14:00 → 15:00
  
  Statistical inverse problems 2 1h
  
  AI Methods
- 15:00 → 15:30
  
  Coffee Break / Informal Discussions 30m
- 15:30 → 16:30
  
  Discussion on model based vs. model-free methods 1h
- 16:30 → 17:00
  
  Summary of Day 1 -- Action Items 30m
Tuesday, 25 September
- Sun, 23 Sep
- Mon, 24 Sep
- 09:00 → 09:30
  
  Open problem priorities 30m
- 09:30 → 10:30
  
  Optimization applications in emulation and inverse problems 1h
- 10:30 → 11:00
  
  Coffee Break / Informal Discussion 30m
- 11:00 → 12:00
  
  HPC and ML applications/discussion 1 1h
- 12:00 → 13:00
  
  Working Lunch 1h
- 13:00 → 14:00
  
  HPC and ML applications/discussion 2 1h
- 14:00 → 15:00
  
  Discussion on new science cases 1 1h
- 15:00 → 15:30
  
  Coffee Break / Informal Discussion 30m
- 15:30 → 16:30
  
  Discussion on new science cases 2 1h
- 16:30 → 17:00
  
  Summary of Meeting 30m