Event Content - (F)

First Letter

(1) | 2 (2) | 5 (1) | A (21) | B (13) | C (19) | D (21) | E (28) | F (16) | G (11) | H (6) | I (6) | J (4) | K (2) | L (8) | M (18) | N (6) | O (14) | P (11) | Q (4) | R (12) | S (30) | T (21) | U (3) | V (3) | W (8)

	Nov 12, 15:30 - 16:30, Family of Mean-Mixtures of Multivariate Normal Distributions (B1 L4 R4102), Prof. Narayanaswamy Balakrishnan, Department of Mathematics and Statistics, McMaster University	Seminar
	Nov 27, 12:00 - 13:00, Finite Element Approximation of Eigenvalue Problems in Mixed Form (B9 L2 R2325), Daniele Boffi, Associate Dean for Faculty, Computer, Electrical and Mathematical Sciences and Engineering	Graduate Seminar
	Oct 11, 12:00 - 13:00, Finite element approximation of parameter dependent eigenvalue problems (B9 L2 R2322), Daniele Boffi, Associate Dean for Faculty, Computer, Electrical and Mathematical Sciences and Engineering	approximation, dependent eigenvalue, element, Finite, Graduate Seminar, of parameter, problems
	Nov 13, 12:00 - 13:00, First Provably Optimal Asynchronous SGD for Homogeneous and Heterogeneous Data (B9 L2 R2325), Arto Maranjyan, Ph.D. Student, Computer Science	asynchronous algorithms, Graduate Seminar, machine learning, optimization, Training
	May 31, 16:00 - 18:00, Flexible Covariance Models for Spatio-Temporal and Multivariate Spatial Random Fields (KAUST), Ghulam A. Qadir, Ph.D. Student, Statistics	Ph.D. Dissertation Defense
	Oct 25, 15:00 - 18:00, Flexible Extremal Dependence Models for Multivariate and Spatial Extremes (B5 L5 R5220), Zhongwei Zhang, Ph.D. Student, Statistics	spatial statistics, Statistics of extremes, Ph.D. Dissertation Defense
	Mar 28, 16:00 - 19:00, Flexible Multivariate, Spatial, and Causal Models for Extremes (B4 L5 R5220), Yan Gong, Ph.D. Student, Statistics	risk assessment, statistical analysis, Ph.D. Dissertation Defense
	Nov 18, 12:00 - 13:00, Forecasting High-Frequency Spatio-Temporal Wind Power with Dimensionally Reduced Echo State Networks (KAUST), Huang Huang, Ph.D., Statistics	Graduate Seminar
	Apr 25, 16:00 - 17:00, Forecasting Multiple Time Series with One-Sided Dynamic Principal Components (B1 L4 R4102), Prof. Daniel Peña Sánchez de Rivera, Department of Statistics, Universidad Carlos III de Madrid	big data, Time Series, Seminar
	Feb 18, 12:00 - 13:00, Forward-prediction and Backward-design by Machine Learning (KAUST), Prof. Xiangliang Zhang	Graduate Seminar
	Nov 2, 12:00 - 13:00, Free Boundary Problems in Science and Engineering (B9 L2 H2), Rafayel Teymurazyan, Research Scientist, Applied Mathematics and Computational Science	Graduate Seminar
	Sep 7, 12:00 - 13:00, From Euler flows with friction to gradient flows and applications (B9 L2 H2), Athanasios Tzavaras, Professor, Applied Mathematics and Computational Science	Graduate Seminar
	Sep 4, 12:00 - 13:00, From the Ball-Proximal (Broximal) Point Method to Efficient Training of LLMs (B9 L2 R2325), Peter Richtarik, Professor, Computer Science	AI, algorithms, Graduate Seminar, LLM, machine learning, optimization
	Mar 12, 12:00 - 13:00, Functional data depth and its application in the visualization of spatio-temporal covariance structures (KAUST)	functional data analysis, Graduate Seminar, spatio-temporal statistics
	Nov 15, 12:00 - 13:00, Functional Differential Equations in Models of Collective Behavior - Graduate Seminar (B9 L2 R2322), Jan Haskovec, Senior Research Scientist, Applied Mathematics and Computational Science	Differential Equation, Functional, Graduate Seminar
	Feb 15, 12:00 - 13:00, Fuzzy clustering of circular time series based on a new distance with applications to wind data (B9 L2 H2 H2), Ángel López Oriona, Postdoctoral Research Fellow, Statistics	Graduate Seminar