Optimization over the Space of Probability Measures
This is the talk I presented in the Optimization Group Seminar, titled: An Introduction to Optimization over the Space of Probability Measures: From Sampling to Wasserstein Gradient Flow.
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Categories
- Abstract Algebra20
- Approximation Theory1
- Calculus of Variations1
- Functional Analysis1
- Generative Modeling2
- Gradient Flows5
- Investment and Trends4
- Lie Algebra3
- Markov Chain1
- Mean-Field Langevin Dynamics2
- Numerical Linear Algebra1
- Optimal Transport8
- Optimization1
- Optimization over the Space of Probability Measures1
- Probability Theory8
- Reproducing Kernel Hilbert Space1
- Sampling1