Schedule
June 24 (Monday): 8:00 - 11:00am Pacific, 11:00am - 2:00pm Eastern, 4:00 - 7:00pm London
Talk abstracts can be found [here].
Session 1: Sampling and Analysis of Massive Data
Jiangrui Kang (Beijing Normal University / Hong Kong Baptist University)
Title: Enhancing Semi-Supervised Learning via Representative and Diverse Subdata Selection
Aleksei Sorokin (Illinois Institute of Technology)
Title: Fast Physics Informed Kernel Methods for Partial Differential Equations with Unknown Coefficients
Session 2: Sampling and Analysis of Complex Systems
Irene Ji (Duke University / SAS)
Title: BayesFLo: Bayesian fault localization of complex software systems
Benedetta Bruni (Duke University)
Title: ESPs: a new cost efficient sampler for expensive posterior distributions
Session 3: Tractability
Onyekachi Emenike (Illinois Institute of Technology)
Title: Generalized tractability for approximation problems defined on Hilbert spaces
Simon Mak (Duke University)
Title: Additive Multi-Index Gaussian process modeling, with application to multi-physics surrogate modeling of the quark-gluon plasma
June 25 (Tuesday): 8:00 - 11:00am Pacific, 11:00am - 2:00pm Eastern, 4:00 - 7:00pm London
Talk abstracts can be found [here].
Session 4: Sampling and Analysis of Surrogate Models
Chris Oates (Newcastle University)
Title: Richardson Extrapolation meets Multi-Fidelity Modelling
Kevin Li (Duke University)
Title: ProSpar-GP: scalable Gaussian process modeling with massive non-stationary datasets
Session 5: Bayesian Optimization for Engineering Innovations
John Miller (Duke University)
Title: Diverse Expected Improvement (DEI): Diverse Bayesian Optimization of Expensive Computer Simulators
Yen-Chun Liu (Duke University)
Title: Experimental design for expensive path planning simulators via integer programming
Session 6: Quasi Monte Carlo
Aadit Jain (Rancho Bernardo High School) and David Zhang (UIUC)
Title: Randomization Techniques for Low Discrepancy Sequences
Nathan Kirk (University of Waterloo)
Title: What can machine learning do for quasi-Monte Carlo methods?