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Computational Mathematics & Statistics Seminar

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Computational Mathematics and Statistics Seminar Archive

Hadis Anahideh, Research Assistant Professor of Mechanical and Industrial Engineering, UIC
Nov 8, 2019 - 11:25am to 12:40pm
College of Science, Applied Mathematics - Seminar - RE 036
imited informative data remains the primary challenge for optimization the expensive complex systems. Learning from limited data and finding the set of variables that optimizes an expected output arise practically everywhere from molecular structure design for drug discovery to a deep neural... read more
Fri.
Nov 8
Lulu Kang, associate professor of Applied Mathematics, Illinois Tech
Oct 18, 2019 - 11:25am to 12:40pm
College of Science, Applied Mathematics - Seminar - RE 036
A/B testing refers to the statistical procedure of conducting an experiment to compare two treatments applied to different testing subjects. The subjects participating in the online A/B testing experiments are users who are connected in social networks. Two connected users are similar in terms of... read more
Fri.
Oct 18
Jagadeeswaran Rathinavel, Illinois Tech Ph.D. candidate (AMAT)
Oct 11, 2019 - 11:25am to 12:40pm
College of Science, Applied Mathematics - Seminar - RE 036
Automatic cubatures approximate integrals to user-specified error tolerances. For high dimensional problems, it is difficult to adaptively change the sampling pattern, but one can automatically determine the sample size, $n$, given a reasonable, fixed sampling pattern. We take this approach here... read more
Fri.
Oct 11
Romà Domènech Masana, Illinois Tech Ph.D. candidate (AMAT)
Oct 4, 2019 - 11:25am to 12:40pm
College of Science, Applied Mathematics - Seminar - RE 036
The idea focuses on making more complex splits. A Random Tree is grown by several steps. A Random Tree needs a dataset to start with. This data set DF must contain a response variable y, and a set of predictors x1,..,xm. In each step the dataset DF is split into two according to a condition x1... read more
Fri.
Oct 4
Kan Zhang, Illinois Tech Ph.D. candidate (AMAT)
Sep 27, 2019 - 2:00pm to 3:30pm
College of Science, Applied Mathematics - Seminar - IIT Tower, 7th Floor conference room
Computing the expected value of a parameter via Bayesian inference involves the numerical approximation of the quotient of two intractable integrals. Traditional Markov Chain Monte Carlo methods suffer from slow convergence. An adaptive quasi-Monte Carlo(QMC) method is proposed to evaluate this... read more
Fri.
Sep 27
Yiou Li - Department of Mathematical Sciences, Depaul University
Sep 20, 2019 - 11:25am to 12:40pm
College of Science, Applied Mathematics - Seminar - Rettaliata Engineering Center, Room 036
A/B tests (or "A/B/n tests") refer to the experiments and the corresponding inference on the treatment effect(s) of a two-level or multi-level controllable experimental factor. The common practice is to use a randomized design and perform hypothesis tests on the estimates. However, such estimations... read more
Fri.
Sep 20
Lulu Kang - Department of Applied Mathematics, Illinois Institute of Technology
Sep 6, 2019 - 11:25am to 12:40pm
College of Science, Applied Mathematics - Seminar - Rettaliata Engineering Center, Room 036
Gaussian process regression is a popular machine learning tool. But it is difficult to be applied to analyze large-scale experiment data with high dimension input (large \(p\)) and large sample size (large \(N\)). To overcome such issues, we propose a novel dimension reduction method that finds the... read more
Fri.
Sep 6
Fred Hickernell - Department of Applied Mathematics, Illinois Institute of Technology
Aug 30, 2019 - 11:25am to 12:40pm
College of Science, Applied Mathematics - Seminar - Rettaliata Engineering Center, Room 106
Function approximation is relatively simple compared to many other continuous numerical problems, such as solving (stochastic and/or partial) differential equations. Interpolation is often used in the case of noiseless data, and regression can handle the case of noisy data. For functions of one... read more
Fri.
Aug 30
Jiuhai Chen - Department of Applied Mathematics, Illinois Institute of Technology
Apr 30, 2019 - 1:50pm to 3:05pm
College of Science, Applied Mathematics - Seminar - Rettaliata Engineering Center, Room 103
PDE and ODE are commonly used to describe a wide variety of physical phenomena such as sound, heat, diffusion, electrostatics, electrodynamics, fluid dynamics, elasticity, and quantum mechanics, etc. Discovering the governing equations from noisy data is an essential challenge in many areas of... read more
Tue.
Apr 30
Juan Hu - Department of Mathematical Sciences, Depaul University
Mar 26, 2019 - 1:50pm to 3:05pm
College of Science, Applied Mathematics - Seminar - Rettaliata Engineering Center, Room 103
Low rank representation for massive spatial data has become popular recently. Model cross covariance structure for multivariate spatial data can be challenging due to the non-negative definite restriction of the covariance function. The commonly used models, such as Linear model of... read more
Tue.
Mar 26

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