Thanks for the great talk! I'm trying to compute the Wasserstein Metric with huge n and d=2, taking random projections is quite slow, I'm wondering if there have been any advances in computing the metric in 2D?
Loved the talk! Anyone know if there's any hope of computing (even via numerical methods) Wasserstein distances in high dimension where sampling is only available for one of our measures (and for the other we have only its density)?
Fantastic talk!
Very nice talk with cristal clarity.
My dad was amazing
Thanks for the great talk! I'm trying to compute the Wasserstein Metric with huge n and d=2, taking random projections is quite slow, I'm wondering if there have been any advances in computing the metric in 2D?
Loved the talk! Anyone know if there's any hope of computing (even via numerical methods) Wasserstein distances in high dimension where sampling is only available for one of our measures (and for the other we have only its density)?
There shouldn't be a prime at 4:30, right?