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Likelihood-Free Inference Workshop

Mar 18 – 22, 2019
162 Fifth Ave.
America/New_York timezone

Contribution List

29 / 29
7. Kyle Cranmer
3/18/19, 9:30 AM
15. George Papamakarios: Density estimation for LFI
3/18/19, 11:00 AM
16. Johann Brehmer: "Mining gold" from implicit models to improve likelihood-free inference
3/18/19, 12:00 PM
18. Jan-Matthis Luekmann: Statistical methods for mechanistic models in neuroscience
3/18/19, 2:00 PM
17. Owen Thomas: BOLFI and LIFRE
3/18/19, 2:30 PM
6. Umberto Simola: Machine Learning Accelerated Likelihood-Free Event Reconstruction in Dark Matter Direct Detection
3/18/19, 3:00 PM
19. Rajesh Ranganath
3/18/19, 4:00 PM
20. Discussion Time
3/18/19, 4:30 PM
21. Tom Charnock: IMNN for dimensionality reduction
3/19/19, 9:30 AM
22. Pablo de Castro Manzano: INFERNO: Inference-Aware Neural Optimisation (REMOTE)
3/19/19, 10:00 AM
23. Will Handley: Compromise-free Bayesian sparse reconstruction
3/19/19, 11:00 AM
24. Ann Lee: Validation of Emulators and Approximate Likelihood Models
3/19/19, 11:30 AM
25. Danley Hsu: Estimating Exoplanet Occurrence Rates Using Approximate Bayesian Computation
3/19/19, 12:00 PM
26. Nesar Ramachandra: Suite of Gaussian Process emulators for cosmological inference problems
3/19/19, 2:00 PM
27. Chieh-An Lin: Simulate a universe on your laptop
3/19/19, 2:30 PM
12. Stephen Feeney: TSZ PDF LFI
3/19/19, 3:00 PM
28. Henri Pesonen: ELFI - Engine for Likelihood-free Inference
3/19/19, 4:00 PM
29. Discussion Time
3/19/19, 4:30 PM
11. Ann Lee: Validation of Emulators and Approximate Likelihood Models
4. Chieh-An Lin: Simulate a universe on your laptop
1. Danley Hsu: Estimating Exoplanet Occurrence Rates Using Approximate Bayesian Computation
8. George Papamakarios: Density estimation for LFI
14. Henri Pesonen: ELFI - Engine for Likelihood-free Inference
9. Jan-Matthis Luekmann: Statistical methods for mechanistic models in neuroscience
10. Johann Brehmer: "Mining gold" from implicit models to improve likelihood-free inference
5. Nesar Ramachandra: Suite of Gaussian Process emulators for cosmological inference problems
2. Pablo de Castro Manzano: INFERNO: Inference-Aware Neural Optimisation
3. Tom Charnock: IMNN for dimensionality reduction
13. Will Handley: Compromise-free Bayesian sparse reconstruction
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