Likelihood-Free Inference Workshop

America/New_York
5th Floor Classroom / 9th Floor Classroom (162 Fifth Ave.)

5th Floor Classroom / 9th Floor Classroom

162 Fifth Ave.

Description

For remote participants and presenters, please find the Zoom information below:

Topic: Likelihood-Free Inference Workshop
Time: Mar 18, 2019 8:30 AM Eastern Time (US and Canada)
    Every day, until Mar 19, 2019, 2 occurrence(s)
    Mar 18, 2019 8:30 AM
    Mar 19, 2019 8:30 AM
    Please download and import the following iCalendar (.ics) files to your calendar system.
    Daily: https://simonsfoundation.zoom.us/meeting/815689422/ics?icsToken=6379f1844e3d22aff0e2821fc0969a95bde78df4511bcf36d6f872c55bdf5b57

Join from PC, Mac, Linux, iOS or Android: https://simonsfoundation.zoom.us/j/815689422

Or Telephone:
    Dial(for higher quality, dial a number based on your current location): 
        US: +1 646 558 8656  or +1 669 900 6833
    Meeting ID: 815 689 422
    International numbers available: https://zoom.us/u/adsgvBesxF
Or an H.323 room system:
        162.255.36.11 (US East)
    Meeting ID: 815 689 422

    • 8:30 AM
      Breakfast & Registration

      5th Floor Classroom

    • Session 1
      • 1
        Kyle Cranmer
    • 10:30 AM
      AM Coffee Break
    • Session 2
      • 2
        George Papamakarios: Density estimation for LFI
      • 3
        Johann Brehmer: "Mining gold" from implicit models to improve likelihood-free inference
    • 12:30 PM
      Lunch
    • Session 3
      • 4
        Jan-Matthis Luekmann: Statistical methods for mechanistic models in neuroscience
      • 5
        Owen Thomas: BOLFI and LIFRE
      • 6
        Umberto Simola: Machine Learning Accelerated Likelihood-Free Event Reconstruction in Dark Matter Direct Detection
    • 3:30 PM
      PM Coffee Break
    • Session 4
      • 7
        Rajesh Ranganath
      • 8
        Discussion Time
    • 5:30 PM
      Reception
    • 8:30 AM
      Breakfast & Registration

      5th Floor Classroom

    • Session 1
      • 9
        Tom Charnock: IMNN for dimensionality reduction
      • 10
        Pablo de Castro Manzano: INFERNO: Inference-Aware Neural Optimisation (REMOTE)
    • 10:30 AM
      AM Coffee Break
    • Session 2
      • 11
        Will Handley: Compromise-free Bayesian sparse reconstruction
      • 12
        Ann Lee: Validation of Emulators and Approximate Likelihood Models
      • 13
        Danley Hsu: Estimating Exoplanet Occurrence Rates Using Approximate Bayesian Computation
    • 12:30 PM
      Lunch
    • Session 3
      • 14
        Nesar Ramachandra: Suite of Gaussian Process emulators for cosmological inference problems
      • 15
        Chieh-An Lin: Simulate a universe on your laptop
      • 16
        Stephen Feeney: TSZ PDF LFI
    • 3:30 PM
      PM Coffee Break
    • Session 4
      • 17
        Henri Pesonen: ELFI - Engine for Likelihood-free Inference
      • 18
        Discussion Time
    • 8:30 AM
      Breakfast & Registration

      9th Floor Classroom

    • Session 1: Morning Tag Up
    • 10:30 AM
      AM Coffee Break
    • Session 2: Breakout Sessions
    • 12:30 PM
      Lunch

      Lunch will be served in the 5th Floor Conference Room

    • Session 3: Breakout Sessions
    • 3:00 PM
      PM Coffee Break
    • Session 4: Breakout Sessions
    • Evening Wrap
    • 8:30 AM
      Breakfast & Registration

      9th Floor Classroom

    • Session 1: Morning Tag Up
    • 10:30 AM
      AM Coffee Break
    • Session 2: Breakout Sessions
    • 12:30 PM
      Lunch

      Lunch will be served in the 5th Floor Conference Room

    • Session 3: Breakout Sessions
    • 3:00 PM
      PM Coffee Break
    • Session 4: Breakout Sessions
    • Evening Wrap
    • 8:30 AM
      Breakfast & Registration

      9th Floor Classroom

    • Session 1: Morning Tag Up
    • 10:30 AM
      AM Coffee Break
    • Session 2: Breakout Sessions
    • 12:30 PM
      Lunch

      Lunch will be served in the 5th Floor Conference Room

    • Session 3: Breakout Sessions
    • 3:00 PM
      PM Coffee Break
    • Session 4: Wrap-up Discussion