Poster sessions:

The JMP poster session is scheduled on October 14th 11:00AM - 12:30PM

Judges:

• Angela Dean, Ohio State University

• Dibyen Majumdar, University of Illinois-Chicago

• Max Morris, Iowa State University

• Werner G. Müller, Johannes Kepler University Linz

We have three winners and one honorable mentions for Student Best Poster Competition:

1. Nicholas Alfredo Larsen, North Carolina State University, Department of Statistics, for the poster: HODOR: A two-stage Hold-Out Design for Online Randomized experiments

2. Torsten Reuter, Otto von Guericke University Magdeburg, for the poster: Optimal Subsampling Design for Big Data Regression

3. Mohammed Saif Ismail Hameed, KU Leuven, for the poster: A tailored analysis of data from OMARS designs

4. (Honorable mention) Gautham Sunder, Carlson School of Management, for the poster: Hyperparameter Optimization of Deep Neural Networks with Application to Medical Device Manufacturing

All Posters:

1. Mario Becerra, KU Leuven. Bayesian D- and I-optimal designs for choice experiments with mixtures using a multinomial logit model. Abstract.

2. Alexandre Bohyn, KU Leuven. Enumeration of large mixed four-and-two-level regular designs. Abstract.

3. Carlos de la Calle-Arroyo, University of Castilla-La Mancha. Homoscedastic and Heteroscedastic response in Antoine’s Equation Optimal Designs. Abstract.

4. DUHAMEL, Université Grenoble Alpes, INRIA, IFPEN. A SUR version of the Bichon criterion for inversion. Abstract.

5. Subhadra Dasgupta, IITB-Monash Research Academy. G-optimal retrospective grid designs. Abstract.

6. Nick Doudchenko, Google. Optimal Design of Experiments in Panel-Data Settings. Abstract.

7. Mohammed Saif Ismail Hameed, KU Leuven. A tailored analysis of data from OMARS designs. Abstract.

8. Chaofan Huang, Georgia Institute of Technology. Constrained Minimum Energy Designs. Abstract.

9. Jeevan Jankar, University of Georgia. A General Equivalence Theorem for Crossover Designs under Generalized Linear Models. Abstract.

10. Nicholas Alfredo Larsen, North Carolina State University, HODOR: A two-stage Hold-Out Design for Online Randomized experiments. Abstract.

11. JooChul Lee, University of Pennsylvania. Sampling-based Gaussian Mixture Regression for Big Data . Abstract.

12. Abhyuday Mandal, University of Georgia. MaGP: Modeling and Active Learning for Experiments with Quantitative-Sequence Factors. Abstract.

13. Parisa Parsamaram, Otto-von-Guericke University. Approximation of the quasi Fisher information matrix for designing experiments in ordinal mixed models. Abstract.

14. Sergio Pozuelo-Campos, University of Castilla-La Mancha. Robust designs for toxicological test. Abstract.

15. Torsten Reuter, Otto von Guericke University Magdeburg. Optimal Subsampling Design for Big Data Regression. Abstract.

16. Mitchell Aaron Schepps, UCLA. Metaheuristics for finding efficient longitudinal designs for bipolar patients with and without a genetic covariate treated with sustained release lithium. Abstract.

17. Yao Shi, Arizona State University. Title: Optimal designs under logistic mixed model. Abstract.

18. Gautham Sunder, Carlson School of Management. Hyperparameter Optimization of Deep Neural Networks with Application to Medical Device Manufacturing. Abstract.

19. Hongzhi Wang, University of Georgia. Lioness Algorithm for Finding Optimal Design of Experiments. Abstract.

20. Jing Wang, University of Connecticut. Unweighted esitmation based on optimal sample under measurement constraints. Abstract.

21. Yaqiong Yao, Columbia University. Model Constraints Independent Optimal Subsampling Probabilities for Softmax Regression. Abstract.