The full programme, including abstracts and details of all contributed talks, is now available online and from this website which includes tips on recording talks.
Monday, August 10
2:00 – 3:30 Tutorial 1 -- Aretha Teckentrup, University of Edinburgh (Chair: Mike Giles)
Title: Markov chain Monte Carlo methods
3:45 – 5:15 Tutorial 2 -- Fred Hickernell, Illinois Institute of Technology (Chair: Mike Giles)
Title: Quasi-Monte Carlo Software
Tuesday, August 11
2:00 – 2:15 Welcome -- Mike Giles
2:15 – 3:15 Plenary 1 -- Mario Ullrich, JKU Linz (Chair: Aicke Hinrichs)
Title: Random vs. optimal information for L_2-approximation
3:15 – 4:00 Breakout sessions
4:00 – 5:00 Plenary 2 -- Jing Dong, Columbia University (Chair: Pierre L'Ecuyer)
Title: Can Algorithms Collaborate? The Replica Exchange Method
5:00 – 5:30 Breakout sessions
Wednesday, August 12
2:00 – 3:00 Plenary 3 -- Mark Jerrum, Queen Mary University London (Chair: Matti Vihola)
Title: A complexity-theoretic perspective on MCMC
3:15 – 4:15 Plenary 4 -- David Pfau, Google Deepmind (Chair: Geoff Nicholls)
Title: Quantum Monte Carlo and Solving the Many-Electron Schroedinger Equation with Deep Neural Networks
4:30 – 5:30 Plenary 5 -- Yves Atchade, Boston University (Chair: Christophe Andrieu)
Title: Approximate spectral gap for MCMC mixing times in high-dimensions
Thursday, August 13
2:00 – 3:00 Plenary 6 -- Peter Kritzer, RICAM Linz (Chair: Fred Hickernell)
Title: Exponential tractability
3:00 – 3:45 Breakout sessions
3:45 – 4:45 Plenary 7 -- Thomas Muller, NVIDIA (Chair: Alex Keller)
Title: Variance Reduction using Neural Networks
4:45 – 5:15 MCQMC 2022 announcement -- Alex Keller (Chair: Mike Giles)
Friday, August 14
2:00 – 3:00 Plenary 8 -- Claudia Schillings, University of Mannheim (Chair: Aretha Teckentrup)
Title: Optimization approaches for Bayesian inverse problems: Preconditioning integration methods in the small
noise or large data limit
3:00 – 3:30 Breakout sessions
3:30 – 4:30 Plenary 9 -- Pierre L'Ecuyer (Chair: Art Owen)
Title: Quasi-Monte Carlo for Density Estimation
4:30 – 4:45 Goodbyes -- Mike Giles
