1:10:20"Equilibrium Computation and the Foundations of Deep Learning" — Constantinos Daskalakis (MIT)
A 70-minute video from Math and Data Plus: “"Equilibrium Computation and the Foundations of Deep Learning" — Constantinos Daskalakis (MIT)”.
Math and Data Plus
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1:10:20
53:55"Hierarchical community detection by recursive partitioning"- Liza Levina (University of Michigan)
A 54-minute video from Math and Data Plus: “"Hierarchical community detection by recursive partitioning"- Liza Levina (University of Michigan)”.
57:30"On estimating the mean of a random vector"- Gabor Lugosi (Pompeu Fabra University)
A 58-minute video from Math and Data Plus: “"On estimating the mean of a random vector"- Gabor Lugosi (Pompeu Fabra University)”.
53:40"On the benefit of over-parametrization in artificial neural networks" — Giulio Biroli (ENS Paris)
A 54-minute video from Math and Data Plus: “"On the benefit of over-parametrization in artificial neural networks" — Giulio Biroli (ENS Paris)”.
52:54"Optimization of mean-field spin glass Hamiltonians"- Ahmed El Alaoui (Stanford)
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A 53-minute video from Math and Data Plus: “"Optimization of mean-field spin glass Hamiltonians"- Ahmed El Alaoui (Stanford)”.
1:00:07"Self-regularizing Property of Nonparametric Maximum Likelihood Estimator" —Yury Polyanskiy (MIT)
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A 60-minute video from Math and Data Plus: “"Self-regularizing Property of Nonparametric Maximum Likelihood Estimator" —Yury Polyanskiy (MIT)”.
48:55"Some Recent Insights on Transfer-Learning" — Samory Kpotufe (Columbia)
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A 49-minute video from Math and Data Plus: “"Some Recent Insights on Transfer-Learning" — Samory Kpotufe (Columbia)”.
59:24"Some recent progress in predictive inference" - Emmanuel Candes (Stanford) @ MAD+
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A 59-minute video from Math and Data Plus: “"Some recent progress in predictive inference" - Emmanuel Candes (Stanford) @ MAD+”.
53:38"Statistical Frameworks for Mapping 3D Shape Variation" — Lorin Crawford (Brown/Microsoft Research)
A 54-minute video from Math and Data Plus: “"Statistical Frameworks for Mapping 3D Shape Variation" — Lorin Crawford (Brown/Microsoft Research)”.
57:52"Statistical Limits for the Matrix Tensor Product" — Galen Reeves (Duke University)
A 58-minute video from Math and Data Plus: “"Statistical Limits for the Matrix Tensor Product" — Galen Reeves (Duke University)”.
48:37Learning via early stopping and untrained neural nets - Mahdi Soltanolkotabi (USC) MAD+ 8 July 2020
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A 49-minute video from Math and Data Plus: “Learning via early stopping and untrained neural nets - Mahdi Soltanolkotabi (USC) MAD+ 8 July 2020”.
59:15Statistical and Computational aspects of Wasserstein Barycenters - P. Rigollet @ MAD+ (8 Apr 2020)
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A 59-minute video from Math and Data Plus: “Statistical and Computational aspects of Wasserstein Barycenters - P. Rigollet @ MAD+ (8 Apr 2020)”.
53:39The generalization error of overparametrized models - Andrea Montanari (Stanford) MAD+ 24 Jun 2020
A 54-minute video from Math and Data Plus: “The generalization error of overparametrized models - Andrea Montanari (Stanford) MAD+ 24 Jun 2020”.
1:04:49``A Mathematical Perspective of Machine Learning'' - Weinan E (Princeton) @ MAD+ (1 Arpil 2020)
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A 65-minute video from Math and Data Plus: “``A Mathematical Perspective of Machine Learning'' - Weinan E (Princeton) @ MAD+ (1 Arpil 2020)”.
58:22``Matrix Concentration for Products'' - Jonathan Niles-Weed (NYU) @ MAD+ (25 March 2020)
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A 58-minute video from Math and Data Plus: “``Matrix Concentration for Products'' - Jonathan Niles-Weed (NYU) @ MAD+ (25 March 2020)”.
58:38``Overlap Gap Property'' - David Gamarnik (MIT) @ MAD+ (22 April 2020)
A 59-minute video from Math and Data Plus: “``Overlap Gap Property'' - David Gamarnik (MIT) @ MAD+ (22 April 2020)”.
50:43``Total variation regularization'' - Sara van de Geer (ETHZ) @ MAD+ (29 April 2020)
A 51-minute video from Math and Data Plus: “``Total variation regularization'' - Sara van de Geer (ETHZ) @ MAD+ (29 April 2020)”.