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Methods for Scalable Probabilistic Inference - IPAM at UCLA
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- 1 Introduction
- 2 Why Im here
- 3 Punchlines
- 4 Tools
- 5 Integrals
- 6 Highdimensional integral
- 7 Physical mod
- 8 Monte Carlo
- 9 Good sampler
- 10 Fast probability calculations
- 11 There are other answers
- 12 Gradients
- 13 Higherorder information
- 14 Potential energy
- 15 Multiple parameters
- 16 Integrating a dynamical system
- 17 Any questions right now
- 18 Any other questions
- 19 Derivatives
- 20 Hamiltonian Sampling
- 21 Automatic differentiation
- 22 What is automatic differentiation
- 23 Example from my work
- 24 Open source tools
- 25 Deep learning tools
- 26 JAX
- 27 Exoplanet
- 28 Solarite
- 29 Nonstationarity
- 30 Scaling linearly
- 31 Summary
- 32 Documentation
- 33 Interfaces
