Search for tag: "functional analysis"

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.…

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Diffraction (Part 1)

2017 PARADIM Diffraction part 1 David Muller

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From  James Overhiser 75 plays

26 - Projections and Least Squares Session 26

2009-03-25 09:06:27+00

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28 - Inner product spaces and function approximation Session 28

2009-03-30 09:08:02+00

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14 - Changing Basis Session 14

2009-02-18 11:55:34+00

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41 - SVD decomposition cont'd Session 41

2009-04-29 09:06:42+00

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24 - Examples of orthogonal matrices Session 24

2009-03-13 09:05:37+00

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20 - An example from vector spaces and orthogonality Session 20

2009-03-04 11:02:46+00

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25 - Orthogonal Matrices and Examples Session 25

2009-03-23 22:31:07+00

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CFEM Seminar - Dennis Ignatovich and Grant Passmore: Formal Verification for Safety and Fairness of Financial Algorithms

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CAM Colloquium - Mike Todd: Computation, Multiplicity, and Comparative Statics of Cournot Equilibria in Integers

We give an efficient algorithm for computing a Cournot equilibrium when the producers are confined to integers, the inverse demand function is linear, and costs are quadratic. The method also…

From  E. Cornelius 8 plays

ORIE Colloquium, 2014-02-06 - Po-Ling Loh (Cal-Berkeley): Nonconvex Methods for High-Dimensional Regression with Noisy and Missing Data

Thursday, February 6, 2014 at 4:15pm Frank H. T. Rhodes Hall, 253 ORIE Colloquium: Po-Ling Loh (Cal-Berkeley) - Nonconvex Methods for High-Dimensional Regression with Noisy and Missing Data Noisy and…

From  E. Cornelius 58 plays

ORIE Colloquium, 2014-02-04 - John Duchi (UC Berkeley): Machine Learning: a Discipline of Resource Tradeoffs

Tuesday, February 4, 2014 at 4:15pm Upson Hall, B17 ORIE Colloquium: John Duchi (UC Berkeley) - Machine Learning: a Discipline of Resource Tradeoffs Joint colloquium with Computer Science. How can…

From  E. Cornelius 78 plays

ORIE Colloquium, 2014-04-15 - Natesh Pillai (Harvard)

Tuesday, Apr 15, 2014 at 4:15 PM [.ics] 253 Rhodes Hall Natesh Pillai Assistant Professor, Department of Statistics Harvard University Category: ORIE Colloquium Seminars

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ORIE Colloquium, 2014-04-08 - Cynthia Rudin, Sloan School of Management (MIT): Methods for Interpretable Machine Learning

Tuesday, April 8, 2014, 253 Rhodes Hall Abstract: It is extremely important in many application domains to have transparency in predictive modeling. Domain experts do not tend to prefer "black…

From  E. Cornelius 30 plays