Event Content - (S)

First Letter

A (12) | B (8) | C (3) | D (7) | E (5) | G (2) | H (4) | K (1) | M (7) | O (5) | P (5) | Q (1) | R (7) | S (17) | T (2) | U (3) | V (1) | W (3)

	Apr 10, 12:00 - 13:00, Scalable hierarchical algorithms for PDEs and UQ By Dr. Alexander Litvinenko and Dr. Rio Yokota (B9 H1), Alexander Litvinenko, Senior Research Scientist, Stochastic Numerics Research Group	Seminar
	Mar 27, 14:00 - 15:00, SDEs with irregular coefficients By Prof. Arturo Kohatsu (Ritsumeikan University, Japan) (B1 R4214), Prof. Arturo Kohatsu, Ritsumeikan University, Japan	stochastic differential equations, Seminar
	Oct 14, 11:00 - 12:30, Sequential Monte Carlo Methods By Prof. Ajay Jasra (National University of Singapore) (B1 R4214), Prof. Ajay Jasra, National University of Singapore	Monte carlo methods, Seminar
	Feb 26, 09:00 - Sep 18, 10:30, Sequential Monte Carlo Samplers for Applications in High Dimensions Short course By Prof. Alexandros Beskos (Associate Professor at NUS, Singapore) (B1 R4214), Prof. Alexandros Beskos	Seminar
	Sep 17, 15:00 - 16:00, Sharp Complexity Bounds For Computing Quadrature Formulas for Marginal Distribution of SDEs By Prof. Thomas Mueller (University of Passau, Germany) (B1 R4214), Prof. Thomas Mueller, University of Passau, Germany	Seminar
	Jan 26, 14:00 - 15:00, Simulation and Statistical Inference of Stochastic Reaction Networks with Applications to Epidemic Models by Alvaro Moraes (Al Marsa Yacht Club), Alvaro Moraes, Postdoctoral Research Fellow, Stochastic Numerics Research Group	Ph.D. Dissertation Defense
	Oct 13, 14:00 - 15:00, Some aspects of time inconsistence in stochastic optimal control (B9 H1), Professor of mathematical statistics, KTH, Sweden	Seminar
	Mar 26, 10:00 - 12:00, Some Contributions to Particle and Unbiased Simulation Methods (B3 L5 R5209, Zoom Meeting 95303621356), Elsiddig Awadelkarim Elsiddig, Postdoctoral Research Fellow, Statistics	Bayesian Statistics, machine learning, Ph.D. Dissertation Defense
	Apr 26, 09:00 - Apr 30, 17:00, SRI UQ Annual Workshop 2013 (Auditorium L0 Between B4 and B5), Raul Tempone, Professor, Applied Mathematics and Computational Science	uncertainty quantification, Workshop
	May 8, 12:30 - 13:30, Static and Sequential Probabilistic Inverse Problems: An Extreme-Scale Challenge Application By Dr. Kody Law (B9 H2), Kody J. H. Law, Senior Research Scientist, Stochastic Numerics Research Group	Seminar
	Sep 26, 16:00 - 17:30, Statistical analysis and Bayesian methods for fatigue life prediction and inverse problems in linear time dependent PDEs with uncertainties by Zaid Sawlan (B3 R5209), Zaid Sawlan, Postdoctoral Research Fellow, Stochastic Numerics Research Group	Ph.D. Dissertation Defense
	Jul 15, 15:00 - 16:00, Stochastic Model Hyperreduction for Modeling and Quantifying Model-Form Uncertainties by Professor Charbel Farhat (B3 L5 R5220), Professor Charbel Farhat	Seminar
	May 15, 08:00 - May 28, 17:00, Stochastic Numerics and Statistical Learning: Theory and Applications Workshop (KAUST Campus), Stochastic Numerics PI Professor Raul Tempone (Chair) and Computational Probability PI Professor Ajay Jasra (Co-Chair)	Workshop
	May 21, 08:00 - Jun 1, 17:00, Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2023 (B9), Stochastic Numerics PI Professor Raul Tempone (Chair) and Computational Probability PI Professor Ajay Jasra (Co-Chair)	machine learning, statistical learning, stochastic algorithms, Workshop
	May 19, 08:00 - May 30, 17:00, Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2024 (B2 B3 A0215), Stochastic Numerics PI Professor Raul Tempone (Chair) and Computational Probability PI Professor Ajay Jasra (Co-Chair)	machine learning, statistical learning, stochastic algorithms, Workshop
	May 18, 09:00 - May 25, 15:30, Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2025 (Auditorium 0215 between B2 & B3)	machine learning, statistical learning, stochastic algorithm, Workshop
	Nov 22, 08:30 - Dec 2, 13:30, Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2026 (B2/3 A0215)	numerical analysis, statistical learning, stochastic algorithm, Workshop