Likelihood-Free Inference Workshop

Mar 18, 2019, 8:30 AM → Mar 22, 2019, 6:00 PM America/New_York

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

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

Monday, March 18

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

Tuesday, March 19

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

Wednesday, March 20

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

Thursday, March 21

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

Friday, March 22

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