Event Content - (B)

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	Dec 9, 12:00 - 13:00, Backward Error Analysis for Nonlinear Differential Equations (KAUST), David Ketcheson, Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	Jan 27, 12:00 - 13:00, Backward induction: from theory to empirics (KAUST), Konrad Grabiszewski, Instructional Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	Nov 29, 14:00 - 15:00, Basic Algebraic Structures (B3 L5 R5220), Prof. Efim Zelmanov	Galois, Structures, Lecture
	Mar 6, 12:00 - 13:00, Bayesian Deep Learning (B9 L3 R3128), Maurizio Filippone, Associate Professor, EURECOM, France	Bayesian computational statistics, Deep learning, Graduate Seminar
	Dec 4, 08:00 - Dec 6, 17:00, Big Data Analyses in Evolutionary Biology (B9 H2)	big data, Big data analysis, evolutionary biology, Conference
	Apr 14, 12:00 - 13:00, Biomedical research: a world of statistical challenges (B9 L2 H2), Prof. David Gomez-Cabrero, Biological, Environmental Science and Eng, KAUST	Graduate Seminar
	Sep 20, 15:00 - 16:00, Breiman’s Samplers or Models? There is a little but important difference: Models, including priors, can be wrong! (B1 L2 R2202), Dr. Yannis Yatracos	Seminar
	Feb 9, 12:00 - 13:00, Bridging Optimal Control and Modern AI Techniques (Auditorium between 2 and 3), Tingwei Meng, Assistant Professor, Computational and Applied Mathematics, University of California,	Seminar