Event Content - (W)

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	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
	May 4, 12:00 - 13:00, What Survives When Code Doesn’t? (B9 R2325), Dr. Laurent Bindschaedler, Research Group Leader, Max Planck Institute for Software Systems (MPI-SWS)	AI, axplainable AI, coding, Graduate Seminar, software development, Trustworthy AI, trustworthy machine learning
	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, Professor, Computer Science	Graduate Seminar
	Nov 27, 10:00 - 11:30, Why ML Works: It’s Not Magic, It’s Networked Systems Wizardry! (B9, L2, R2322), Marco Canini, Professor, Computer Science	computing system, machine learning, Public Colloquium
	Dec 4, 12:00 - 13:00, Will AI Replace Professors? (B2/B3 L0 A0215), Pavel Pevzner, Ronald R. Taylor Chair and Distinguished Professor, Computer Science and Engineering, University of California, San Diego	Dean's Distinguished Lecture
	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