09:00 - 10:30
Henry Wynn’s Legacy: A Tribute Session
Organizer: Chiara Tommasi
Chair: Chiara Tommasi
Speakers:
Giovagnoli Alessandra
(retired)
Working with Henry Wynn: the Quest for Orderings
Riccomagno Eva
(University of Genova)
Working with Henry Wynn: from Fourier to Gröbner
Pronzato Luc
(CNRS)
Working with Henry Wynn: Over 30 years of collaboration in a few slides (and photos)
Youssef Noha
(The American University in Cairo)
Working with Henry Wynn: Henry's ASCM dream
Fontana Roberto
(Politecnico di Torino - Dept. of Mathematical Sciences)
Working with Henry Wynn: From PhD Student to Co-Author, and Beyond
Müller Werner
(TU Dortmund)
Working with Henry Wynn: a few words on ABCD
11:00 - 12:30
Invited Session - Theoretical and methodological advances in probabilistic kernel methods
Organizer: Anatoly Zhigljavsky, David Ginsbourger, Luc Pronzato
Chair: David Ginsbourger
Speakers:
Bect Julien
(L2S / CentraleSupélec)
Uncertainty functionals revisited: Concavity and Jensen’s inequality
abstract
Karvonen Toni
(Lappeenranta–Lahti University of Technology LUT)
Good and bad kernels
abstract
Mojmir Mutny
(ETH Zurich, Broad Institute)
Active Exploration via Experiment Design in Markov Chains
abstract
16:00 - 17:30
Invited Session - Computational Challenges in Optimal Design of Experiments
Organizer: Harman Radoslav
Chair: Darius Ucinski
Speakers:
Ahipasaoglu Selin
(University of Southampton)
Optimal experimental design under linear constraints: a column generation framework
abstract
Jones Bradley
(Retired)
Unrestricted Bridge (U-Bridge) Designs
abstract
Rosa Samuel
(Comenius University Bratislava)
Removing nonoptimal points for D-optimal exact designs
abstract
09:00 - 10:30
Invited Session - Sensor location for spatiotemporal processes
Organizer: Dariusz Uciński
Chair: Dariusz Uciński
Speakers:
Bertoglio Cristóbal
(University of Groningen)
OED with k-space data: application to inverse hemodynamics
abstract
Koval Karina
(Heidelberg University)
Measure transport for Bayesian optimal experimental design
abstract
Patan Maciej
(University of Zielona Góra)
Maximin efficient sensor location for estimation of subsets of parameters
abstract
11:00 - 12:30
Invited Session - Subsampling
Organizer: Jesús Lopez-Fidalgo
Chair: Jesús Lopez-Fidalgo
Speakers:
de la Calle Carlos
(University of Oviedo)
Optimal subsampling in presence of model misspecification
abstract
Stufken John
(George Mason University)
Data subsampling strategies
abstract
Wang HaiYing
(University of Connecticut)
Antithetic Designs and Stratification for Subsampling
abstract
Yang Min
(University of Illinois at Chicago)
Subdata Selection for Measurement-Constrained Linear Regression under Model Misspecification
abstract
14:00 - 15:30
Poster Session
Deldossi Laura
(Università Cattolica del Sacro Cuore - Milan)
Random-X prediction error under model misspecification
abstract
de Vries Klazien
(University of Groningen)
Bayesian D-optimal designs for GAMLSS in psychological test norming
abstract
Eichhorn Julia
(TU Dortmund University)
Detecting structural variations between different concentration-response experiments
abstract
Filova Lenka
(Comenius University Bratislava)
Optimal Exact Designs of Multiresponse Experiments under Linear and Sparsity Constraints
abstract
Flournoy Nancy
(University of Missouri)
Results and challenges in estimation for dose-finding designs
abstract
Lane Adam
(Cincinnati Children's Hospital)
Improving Efficiency with Relevant Subset Designs
abstract
Marshall Daniel
(Brunel University of London)
Experimental Design on Networks: Exploring Nonlinear Social Influence
abstract
Muñoz del Río Alba
(Universidad a Distancia de Madrid)
Efficient Isothermal Experimental Designs for Parameter Estimation in Predictive Microbiology
abstract
Reckermann Katharina
(Roche)
Design of Experiments (DoE) in Pharmaceutical Technical Development
abstract
Riccomagno Eva
(University of Genova)
Data-Driven Strategies for Detecting and Sampling Misrepresented Subgroups
abstract
Rodriguez Diaz Juan M.
(University of Salamanca)
Optimal designs for drug detection in the human body and further applications
abstract
Sada Allo Maider
(Universidad Pública de Navarra)
oint Estimation of Target Dose and Slope in Binary Response Models: A Geometric Approach
abstract
Singh Arpan
(CTRU, University of Leeds)
Non-Orthogonal Factorial Designs for Trials of Therapist-Delivered Interventions: Allowing for Therapist Capacity, Availability and Turnover
abstract
Solinus Robin
(Ruhr-Universität Bochum)
Optimal Design for Stochastic Processes
abstract
Somogyi Pál
(Department of Applied Mathematics and Statistics, Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava, Slovakia)
Computing optimal designs of experiments for multivariate-response models
abstract
Spangl Bernhard
(BOKU University)
Stratified sampling optimum allocation for fixed precision
abstract
Stadler Alexandra
(Johannes Kepler University Linz)
Improving AI Explainability through Design of Experiments
abstract
Youssef Noha
(The American University in Cairo)
NA
abstract
Zhu Hao
(Johannes Kepler University Linz)
Amortized Predictive Expected Information Gain for Adaptive Path-Constrained Experimental Design
abstract
11:00 - 12:30
Invited Session - Sequential design methodology with GP and latent GP models
Organizer: Anatoly Zhigljavsky, David Ginsbourger, Luc Pronzato
Chair: Luc Pronzato
Speakers:
Eidsvik Jo
(NTNU, Norway)
Adaptive spatio-temporal sampling with marine robots
abstract
Friedli Lea
(Technical University of Munich)
CRPS-Based Targeted Sequential Design with Application in Chemical Space
abstract
Gautier Athénaïs
(ONERA)
SLGP-based surrogates for spatially dependent discrete outputs: modelling, uncertainty quantification, and data acquisition.
abstract
09:00 - 10:30
Invited Session - Space Filling and MMD-based design
Organizer: Anatoly Zhigljavsky, David Ginsbourger, Luc Pronzato
Chair: David Ginsbourger
Speakers:
Chazal Clémentine
(ENSAE, Paris)
A Computable Measure of Suboptimality for Entropy-Regularised Variational Objectives
abstract
Kang Lulu
(University of Massachusetts Amherst)
Robust and Sparse Generalized Linear Models for High-Dimensional Data via Maximum Mean Discrepancy (DPP)
abstract
Pronzato Luc
(CNRS)
Random and Quasi-Random Designs for Quantisation in High Dimension
abstract