Event Content - (B)

First Letter

2 (1) | 5 (1) | A (65) | B (10) | C (22) | D (23) | E (42) | F (27) | G (10) | H (16) | I (13) | J (2) | K (2) | L (12) | M (59) | N (24) | O (29) | P (39) | Q (6) | R (23) | S (39) | T (54) | U (4) | V (4) | W (13)

	Dec 9, 12:00 - 13:00, Backward Error Analysis for Nonlinear Differential Equations (KAUST), David Ketcheson, Professor, Applied Mathematics and Computational Science	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, Lecture, Structures
	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
	Oct 16, 12:00 - 13:00, Bias-Reduced Estimation of Structural Equations Models (B9 L2 R2325), Haziq Jamil, Research Specialist, Statistics	Graduate Seminar
	Dec 4, 08:00 - Dec 6, 17:00, Big Data Analyses in Evolutionary Biology (B9 H2)	big data, Big data analysis, Conference, evolutionary biology
	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
	Oct 9, 12:00 - 13:00, Block Low-Rank Matrices for Modern Scientific Computing (B9 L2 R2325), Daria Sushnikova, Postdoctoral Research Fellow, Computer, Electrical and Mathematical Sciences and Engineering	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