MCQMC 2020

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Laurent Meunier – Revisiting One-Shot-Optimization

Laurent Meunier – Revisiting One-Shot-Optimization

MCQMC 2020

217 views·5 years ago

Aicke Hinrichs – Lower Bounds for the Error of Quadrature Formulas for Hilbert Spaces

Aicke Hinrichs – Lower Bounds for the Error of Quadrature Formulas for Hilbert Spaces

MCQMC 2020

164 views·5 years ago

Christian Weiß – An Application of Faulhaber’s Formula to Star-Discrepancy

Christian Weiß – An Application of Faulhaber’s Formula to Star-Discrepancy

MCQMC 2020

192 views·5 years ago

Luiz Max Carvalho – Adaptive Markov chain Monte Carlo on the space of time-calibrated trees

Luiz Max Carvalho – Adaptive Markov chain Monte Carlo on the space of time-calibrated trees

MCQMC 2020

167 views·5 years ago

$Michael Gnewuch – Optimal cubature rules on Haar wavelet spaces and on spaces with fractional ...$ 36:17

Michael Gnewuch – Optimal cubature rules on Haar wavelet spaces and on spaces with fractional ...

MCQMC 2020

151 views·5 years ago

Nikolaus Binder – Solving Integral Equations in real-time

Nikolaus Binder – Solving Integral Equations in real-time

MCQMC 2020

108 views·5 years ago

Emanouil Atanassov – On the Use of Global Sensitivity Analysis for Optimisation of Numerical ...

Emanouil Atanassov – On the Use of Global Sensitivity Analysis for Optimisation of Numerical ...

MCQMC 2020

275 views·5 years ago

Tapio Helin – Consistency of hierarchical parameters in MAP estimation

Tapio Helin – Consistency of hierarchical parameters in MAP estimation

MCQMC 2020

98 views·5 years ago

Alexandre Bouchard – Non-Reversible Parallel Tempering

Alexandre Bouchard – Non-Reversible Parallel Tempering

MCQMC 2020

680 views·5 years ago

Laura Scarabosio – Model-based multilevel Monte Carlo methods for local quantities of interest in...

Laura Scarabosio – Model-based multilevel Monte Carlo methods for local quantities of interest in...

MCQMC 2020

204 views·5 years ago

Aretha Teckentrup – Convergence of Gaussian process regression with estimated hyper-parameters

Aretha Teckentrup – Convergence of Gaussian process regression with estimated hyper-parameters

MCQMC 2020

179 views·5 years ago

Jonas Latz – Fast and even faster sampling of parameterised Gaussian random fields

Jonas Latz – Fast and even faster sampling of parameterised Gaussian random fields

MCQMC 2020

491 views·5 years ago

Lassi Roininen – Non-Stationary Multi-layered Gaussian Priors via Stochastic Partial Differential...

Lassi Roininen – Non-Stationary Multi-layered Gaussian Priors via Stochastic Partial Differential...

MCQMC 2020

85 views·5 years ago

Marcin Wnuk – Reproducing Kernel Banach Spaces and QMC Integration

Marcin Wnuk – Reproducing Kernel Banach Spaces and QMC Integration

MCQMC 2020

189 views·5 years ago

Luc Pronzato – Design of Computer Experiments based on Bayesian Quadrature

Luc Pronzato – Design of Computer Experiments based on Bayesian Quadrature

MCQMC 2020

139 views·5 years ago

Stefan Grosskinsky – Mean-field Particle Systems and Rare Event Simulation

Stefan Grosskinsky – Mean-field Particle Systems and Rare Event Simulation

MCQMC 2020

139 views·5 years ago

Thomas A. Catanach – Multifidelity Sequential Tempered Markov Chain Monte Carlo for Bayesian ...

Thomas A. Catanach – Multifidelity Sequential Tempered Markov Chain Monte Carlo for Bayesian ...

MCQMC 2020

196 views·5 years ago

Deborshee Sen – Targeted Stochastic Gradient Markov Chain Monte Carlo for Hidden Markov Models ...

Deborshee Sen – Targeted Stochastic Gradient Markov Chain Monte Carlo for Hidden Markov Models ...

MCQMC 2020

124 views·5 years ago

Jon Cockayne – Multivariate Output Analysis for Markov Chain Monte Carlo

Jon Cockayne – Multivariate Output Analysis for Markov Chain Monte Carlo

MCQMC 2020

144 views·5 years ago

Adrian Ebert – Construction of QMC Finite Element Methods for Elliptic PDEs with Random ...

Adrian Ebert – Construction of QMC Finite Element Methods for Elliptic PDEs with Random ...

MCQMC 2020

143 views·5 years ago

Matthew A. Fisher – Adaptive Algorithms in Bayesian Quadrature

Matthew A. Fisher – Adaptive Algorithms in Bayesian Quadrature

MCQMC 2020

275 views·5 years ago

James Flegal – Multivariate Output Analysis for Markov Chain Monte Carlo

James Flegal – Multivariate Output Analysis for Markov Chain Monte Carlo

MCQMC 2020

144 views·5 years ago

Andrew Duncan – On the Geometry of Stein Variational Gradient Descent

Andrew Duncan – On the Geometry of Stein Variational Gradient Descent

MCQMC 2020

1.6K views·5 years ago

Robert Nasdala – Multivariate approximation based on transformed rank-1 lattices

Robert Nasdala – Multivariate approximation based on transformed rank-1 lattices

MCQMC 2020

57 views·5 years ago

Alexander Keller – Quasi-Monte Carlo and Neural Networks

Alexander Keller – Quasi-Monte Carlo and Neural Networks

MCQMC 2020

423 views·5 years ago

Nabil Kahalé – Randomized Dimension Reduction for Monte Carlo Simulations

Nabil Kahalé – Randomized Dimension Reduction for Monte Carlo Simulations

MCQMC 2020

129 views·5 years ago

Ad Ridder – Rare-Event Analysis and Simulation of Queues with Time-Varying Rates

Ad Ridder – Rare-Event Analysis and Simulation of Queues with Time-Varying Rates

MCQMC 2020

197 views·5 years ago

Marcello Longo – A-posteriori QMC error estimation

Marcello Longo – A-posteriori QMC error estimation

MCQMC 2020

149 views·5 years ago

Mark Huber – Improving Perfect Simulation for the Strauss Process Using Stitching

Mark Huber – Improving Perfect Simulation for the Strauss Process Using Stitching

MCQMC 2020

106 views·5 years ago

Pierre Marion – Algorithms and Software for Custom Digital Net Constructions

Pierre Marion – Algorithms and Software for Custom Digital Net Constructions

MCQMC 2020

291 views·5 years ago

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