Search for tag: "data set"
REU presentation Tuesday 7/14/2020Zoom Recording ID: 96251374359 UUID: z8AUYGlzQ/qWUEvVGtXAJQ== Meeting Time: 2020-07-14T13:47:26Z
From James Overhiser
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Milstein Invited Lecture - Keyon VafaZoom Recording ID: 96610307248 UUID: Ulr/E83kRWGGHY19KZmk9A== Meeting Time: 2020-06-25T23:47:07Z
From Tapan Parikh
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Milstein Invited Lecture - Josh BlumenstockZoom Recording ID: 96610307248 UUID: ZKt8uGHKTia/xxR8qjMqjg== Meeting Time: 2020-06-11T23:48:57Z
From Tapan Parikh
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Intro ML II - (Stochastic) Gradient DescentZoom Recording ID: 8760640863 UUID: u8EViBtWSpqx0LZw4ZbeLQ== Meeting Time: 2020-04-23T15:22:31Z
From Bharath Hariharan
384 plays
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Intro ML I - Framing the problemZoom Recording ID: 8760640863 UUID: g5UgMq0DQcWoPHsejiECtw== Meeting Time: 2020-04-22T14:30:54Z
From Bharath Hariharan
287 plays
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ORIE Colloquium, 3/18/2020 - Ashia Wilson“Variational Perspectives on Machine Learning: Algorithms, Inference, and Fairness”Machine learning plays a key role in shaping the decisions made by a growing number of institutions.…
From E. Cornelius
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ORIE 9000 Colloquium - Madeleine Udell: Generalized Low Rank ModelsPrincipal components analysis (PCA) is a well-known technique for approximating a data set represented by a matrix by a low rank matrix. Here, we extend the idea of PCA to handle arbitrary data sets…
From E. Cornelius
7 plays
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ORIE Colloquium on 1/29/2015 - Jason Lee: Selective Inference via the Condition on Selection Framework: Applications to Inference After Variable SelectionSelective Inference is the problem of testing hypotheses that are chosen or suggested by the data. Inference after variable selection in high-dimensional linear regression is a common example of…
From E. Cornelius
10 plays
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