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Event Content - (W)

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(1) | 5 (1) | A (36) | B (17) | C (26) | D (30) | E (29) | F (9) | G (5) | H (7) | I (20) | K (7) | L (17) | M (25) | N (16) | O (15) | P (23) | R (22) | S (29) | T (38) | U (2) | V (7) | W (6) | Z (1) | Β (1)
Oct 19, 16:00 - 17:00, We used Reinforcement Learning; but did it work? (B9 L2 H2), Prof. Susan Murphy, Statistics and Computer Science and Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University
Digital Behavioral Health, Reinforcement Learning, Seminar
Apr 10, 12:00 - 13:00, Web-based 3D Visualization (B9 L2 H2 H2), Ivan Viola, Professor, Computer Science
3D graphics, computer graphics, Graduate Seminar, nanovisualization, WebAssmbly, WebGPU
Feb 20, 15:00 - 16:00, When Second Order Methods Shine: Big Batches, Bayes, and Bilevel (KAUST), Guodong Zhang, PhD student in University of Toronto
Seminar
Aug 29, 12:00 - 13:00, Which came first: the paper or the peer-review? (B9 L2 R2322 H1), Marco Canini, Associate Professor, Computer Science
Graduate Seminar
KAUST-CEMSE-Public-Colloquium-Marco-Canini-Why-ML-Works-Its-Not-Magic
Nov 27, 10:00 - 11:30, Why ML Works: It’s Not Magic, It’s Networked Systems Wizardry! (B9, L2, R2322), Marco Canini, Associate Professor, Computer Science
computing system, machine learning, Public Colloquium
Mar 13, 08:55 - 17:00, Workshop on Applied Geometry and Visual Computing (B4 L5 R5209)
applied geometry, discrete differential geometry, geometry processing, visual computing, Workshop

Computer Science (CS)

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