Lectures
Total : 141
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[Colloquium]A probabilistic approach to non-local equations
박대한 교수(강원대학교)
2024. 11. 19. -
[Colloquium]Mathematical Theory of Neural Network Approximation
홍영준 교수(KAIST)
2024. 11. 5. -
[Colloquium]Wave turbulence and some well-posednessresults
라준현 교수(KIAS)
2024. 10. 15. -
[Colloquium]Generalization Properties of Overparametrized Models
손영탁 교수(Brown University)
2024. 10. 8. -
[Colloquium]Large random matrices with given margins, Schrödinger bridge, and Sinkhorn algorithm
류한백 교수(University of Wisconsin-Madison)
2024. 10. 2. -
[Summer School on Optimal Transport, Stochastic Analysis and Application to Machine Learning] Wasserstein Limit for Empirical Me
Feng-Yu Wang (Tianjin University)
2024.06.07. -
[Summer School on Optimal Transport, Stochastic Analysis and Application to Machine Learning] Optimal transport and gradient flo
Dejan Slepcev (Carnegie Mellon University)
2024.06.07. -
[Summer School on Optimal Transport, Stochastic Analysis and Application to Machine Learning] Wasserstein gradient flows for sam
Sinho Chewi (Institute for Advanced Study)
2024.06.07. -
[Summer School on Optimal Transport, Stochastic Analysis and Application to Machine Learning] Wasserstein Mirror Gradient Flow a
Nabarun Deb (University of Chicago)
2024.06.06. -
[Summer School on Optimal Transport, Stochastic Analysis and Application to Machine Learning] Understanding Modern Data Augmenta
Chulhee Yun (KAIST)
2024.06.06. -
[Summer School on Optimal Transport, Stochastic Analysis and Application to Machine Learning] Maximizing Marginal Variance in Ma
Tongseok Lim (Purdue University)
2024.06.06. -
[Summer School on Optimal Transport, Stochastic Analysis and Application to Machine Learning] Wasserstein principal curves
Andrew Warren (University of British Columbia)
2024.06.05. -
[Summer School on Optimal Transport, Stochastic Analysis and Application to Machine Learning] Statistical inference of convex or
Jakwang Kim (University of British Columbia)
2024.06.05. -
[Summer School on Optimal Transport, Stochastic Analysis and Application to Machine Learning] Wasserstein gradient flows for sam
Sinho Chewi (Institute for Advanced Study)
2024.06.05. -
[Summer School on Optimal Transport, Stochastic Analysis and Application to Machine Learning] Wasserstein Limit for Empirical Me
Feng-Yu Wang (Tianjin University)
2024.06.05. -
[Summer School on Optimal Transport, Stochastic Analysis and Application to Machine Learning] Optimal transport and gradient flo
Dejan Slepcev (Carnegie Mellon University)
2024.06.05 -
[Summer School on Optimal Transport, Stochastic Analysis and Application to Machine Learning] Sliced and Disintegrated Monge--Ka
Asuka Takatsu (Tokyo Metropolitan University)
2024.06.04. -
[Summer School on Optimal Transport, Stochastic Analysis and Application to Machine Learning] Tensorized stochastic localization
Dan Mikulincer (MIT)
2024.06.04. -
[Summer School on Optimal Transport, Stochastic Analysis and Application to Machine Learning] Wasserstein gradient flows for sam
Sinho Chewi (Institute for Advanced Study)
2024.06.04 -
[Summer School on Optimal Transport, Stochastic Analysis and Application to Machine Learning] Wasserstein Limit for Empirical Me
Feng-Yu Wang (Tianjin University)
2024.06.04.