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  1. 1-Wasserstein metric and generalizations
  2. 2-Wasserstein Metric and Ricci curvature
  3. 201A Distraction Recommendations
  4. 2 layer neural networks as Wasserstein gradient flows
  5. Asymptotic equivalence of W 2 and H^-1
  6. Auction Algorithm
  7. Banach-Tarski Paradox
  8. Beppo-Levi Theorem
  9. Cantor Function
  10. Convergence in Measure
  11. Convergence of Measures and Metrizability
  12. Cute puppies
  13. Distraction Recommendations
  14. Dominated Convergence Theorem
  15. Dual space of C 0(x) vs C b(x)
  16. Egerov's Theorem
  17. Egerov's Theorem/Bounded Convergence Theorem
  18. Entropic Regularization
  19. Fatou's Lemma
  20. Fenchel-Moreau and Primal/Dual Optimization Problems
  21. Fenchel-Rockafellar and Linear Programming
  22. Geodesics and generalized geodesics
  23. Intersections of Open Sets and Unions of Closed Sets
  24. Isomorphism of Measure Spaces
  25. Isoperimetric inequality and OMT
  26. Kantorovich Dual Problem (for c(x,y) = d(x,y)^2 where d is a metric)
  27. Kantorovich Dual Problem (for general costs)
  28. Kantorovich Problem
  29. Key Topics from Undergraduate Analysis
  30. L1 Space
  31. L1 convergence
  32. Lebesgue-Stieljes Measures
  33. Littlewood's First Principle
  34. Lower semicontinuous functions
  35. Lusin's Theorem
  36. Machine Learning
  37. Martingale optimal transport and mathematical finance
  38. Monge Problem
  39. Monotone Convergence Theorem
  40. Multi-marginal optimal transport and density functional theory
  41. New MT Article Ideas
  42. Optimal Transport Wiki:Emailconfirmed
  43. Optimal Transport and Ricci curvature
  44. Optimal Transport in One Dimension
  45. Pointwise a.e. Convergence
  46. Regularity of optimal transport maps and the Monge-Ampére equation
  47. Semidiscrete Optimal Transport
  48. Shallow neural networks as Wasserstein gradient flows
  49. Sliced Wasserstein Distance
  50. The continuity equation

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