Program

A preliminary version of the book of abstracts is available at

http://www.irisa.fr/dionysos/pages_perso/tuffin/Program-MCQMC2018 -V1.pdf.

It includes all informations and will be updated before the conference

 

 

Belown we provide  a general idea of the provisional program.

Sunday, July, 1: tutorials

14h-15h30: Alexander Keller

15h30-16h: coffee break

16h-17h30: Gerardo Rubino

Monday, July, 2

8h20-8h30: Opening

8h30-9h30: Plenary talk, Christophe Andrieu

9h30-10h: Coffee break

10h-12h: Parallel sessions

12h-13h45: Lunch break (on your own)

13h45-14h45: Plenary talk, Christoph Schwab

14h45-15h45: Parallel sessions

15h45-16h15: Coffee break

16h15-17h45: Parallel sessions

18h30: Welcome reception (City Hall)

Tuesday, July, 3

8h30-9h30: Plenary talk, Barry Nelson

9h30-10h: Coffee break

10h-12h: Parallel sessions

12h-13h45: Lunch break (on your own)

13h45-14h45: Plenary talk, Pierre Henry Labordère

14h45-15h45: Parallel sessions

  • Points on the Sphere and Other Manifolds: New Frontiers and Recent Progress (2)
  • MC in finance
  • Practice of QMC methods (2)
  • Acceleration of MCMC
  • Multilevel Monte Carlo methods
  • 15h45-16h15: Coffee break

    16h15-17h45: Parallel sessions

    18h30: Wine & Cheese (expected)

    Wednesday, July, 4

    8h30-9h30: Plenary talk, Eric Moulines

    9h30-10h: Coffee break

    10h-12h: Parallel sessions

    12h-13h45: Lunch break (on your own)

    13h45-15h45: Parallel sessions

    16h: Guided visit of Rennes

    19h: Banquet at “Chateau d’Apigné

    Thursday, July, 5

    8h25-8h30: Journal of Computing Young Researcher Award 2018

    8h30-9h30: Plenary talk, Friedrich Pillichshammer 

    9h30-10h: Coffee break

    10h-12h: Parallel sessions

    12h-13h45: Lunch break (on your own)

    13h45-14h45: Plenary talk, Clémentine Prieur

    14h45-15h45: Parallel sessions

    15h45-16h15: Coffee break

    16h15-17h45: Parallel sessions

     

    Friday, July, 6

    8h30-9h30: Plenary talk, Marvin Nakayama

    9h30-10h: Coffee break

    10h-12h: Parallel sessions

    12h-13h45: Lunch break (on your own)

    13h45-15h15: Parallel sessions

    15h15:  Goodbye coffee

     

    Sessions Description:

    Numerical approximation of SDEs under non-standard assumptions (1)

    • Larisa Yaroslavtseva: On loss of regularity in the initial value for SDEs with non-globally Lipschitz continuous coefficients
    • Diyora Salimova: Numerical approximations of nonlinear stochastic  differential equations
    • Michaela Szölgyenyi: Euler-type schemes for SDEs with discontinuous drift
    • Holger Stroot: Strong Approximation of Stochastic Mechanical Systems with Nonlinear Holonomic Constraints

    Numerical approximation of SDEs under non-standard assumptions (2)

    • Mario Hefter: Lower Error Bounds for Strong Approximation of Scalar SDEs with non-Lipschitzian Coefficients
    • Mike Giles: Multilevel Monte Carlo Method for Ergodic SDEs without Contractivity
    • Dai Taguchi: Semi-implicit Euler-Maruyama scheme for non-colliding particle systems
    • Sotirios Sabanis: MCMC algorithms based on numerical approximations of SDEs with locally Lipschitz coefficients

    Non-Reversible Markov Chain Monte Carlo (1)

    • Alex Beskos: Geometric MCMC for Infinite-Dimensional Inverse Problems
    • Alex Thiery: Discrete-Time Bouncy Particle Samplers and Generalisations
    • Alain Durmus: On the convergence of Hamiltonian Monte Carlo
    • Arnak Dalalyan: User-friendly guarantees for the Langevin Monte Carlo

    Non-Reversible Markov Chain Monte Carlo (2)

    • Christian Robert: Generalized Bouncy Particle Sampler
    • Pierre Monmarché: Geometric ergodicity for the Bouncy Particle Sampler
    • Chris Sherlock: Explicit, non-reversible, contour-hugging MCMC moves
    • Michela Ottobre: Sampling and irreversibility

    Construction of QMC point sets and sequences

    • Frances Kuo: Discrete least squares approximation on multivariate polynomial spaces using lattice points
    • Kosuke Suzuki: Lattice Rules in Non-periodic Subspaces of Sobolev Spaces
    • Ralph Kritzinger: Haar Analysis of Digital Nets and Sequences
    • Dirk Nuyens: Lattice rules with random number of points and near $O(n^{-\alpha-1/2})$ convergence

    QMC and applications

    • Ian Sloan: On the generation of random fields
    • Roswitha Hofer: Kronecker–Halton sequences in ${\mathbb F}_p((X^{-1}))$
    • Gunther Leobacher: ON HIGHER-ORDER INTEGRATION ALGORITHMS IN (WEIGHTED) HERMITE SPACES
    • Mario Neumueller: Asymptotic Behaviour of the Sudler Product of Sines for Quadratic Irrationals

    Stochastic Computation and Complexity (1)

    • Thomas Mueller-Gronbach: On sub-polynomial lower error bounds for strong approximation of SDEs
    • Andreas Roessler: Algorithms for the Approximation of Iterated Stochastic Integrals in Infinite Dimensions
    • Timo Welti: Deep optimal stopping: Solving high-dimensional optimal stopping problems with deep learning
    • Monika Eisenmann: A Randomized Time-Stepping Method for Differential Equations with Time-Irregular Coefficients

    Stochastic Computation and Complexity (2)

    • Steffen Dereich: Central limit theorems for multilevel stochastic approximation algorithms
    • Raphael Kruse: On two quadrature rules for stochastic integrals with fractional Sobolev regularity
    • Sonja Cox: Stochastic integration in quasi-Banach spaces: what Besov regularity does the stochastic heat equation posess?
    • Mihaly Kovacz: Weak and strong approximation of fractional order elliptic equations with spatial white noise

    Stochastic Computation and Complexity (3)

    • Alvin Tse: Multilevel Monte Carlo for McKean-Vlasov SDEs
    • Martin Redmann: Solving parabolic rough partial differential equations using regression
    • Yue Wu: Randomized Numerical Schemes for SDE/SPDEs
    • Stefan Heinrich: Lower bounds for stochastic integration in fractional Sobolev classes

    Forward and inverse UQ with hierarchical models (1)

    • Benjamin Peherstorfer: Multifidelity Monte Carlo estimation with adaptive low-fidelity  models
    • Ahmed Kebaier: Adaptive Importance Sampling for Multilevel Monte Carlo Euler method
    • Sebastian Krumsheid: Multilevel Monte Carlo Approximation of Functions
    • Abdul-Lateef Haji-Ali: Multilevel Nested Simulation for Efficient Risk Estimation

    Forward and inverse UQ with hierarchical models (2)

    • Jonas Latz: Multilevel Sequential${}^2$ Monte Carlo for Bayesian Inverse Problems
    • Hakon Hoel: Multilevel ensemble Kalman filtering for spatio-temporal processes
    • Joakim Beck: Hierarchical sampling methods for Bayesian experimental design
    • Kody Law: Inference using Multilevel Monte Carlo

    Forward and inverse UQ with hierarchical models (3)

    • Matteo Croci: Efficient white noise sampling and coupling for multilevel Monte Carlo
    • Lukas Mayer: Multilevel Monte Carlo for the Quadrature of SDEs Based on Random Bits
    • Soeren Wolfers: Multilevel weighted least squares polynomial approximation
    • Andreas Stein: An adaptive Multilevel Monte Carlo algorithm for advection-diffusion PDEs with random discontinuous coefficients

    New applications of QMC in physics, energy and environment (1)

    • Chieh-Han Lee: A DATA FUSION APPROACH FOR SPATIO-TEMPORAL PM2.5 ESTIMATION WITH QMC METHOD
    • Werner Roemisch: Randomized QMC methods for two-stage stochastic optimization problems: Recent progress
    • Hernan Leovey: Tensor Products, Classical Weighted Sobolev Spaces, Quasi-Monte Carlo and Energy Management

    New applications of QMC in physics, energy and environment (2)

    • Karl Jansen: Lattice Field Theory: a physics case for high dimensional integration
    • Julia Volmer: Improving Monte Carlo integration by symmetrization

    Points on the Sphere and Other Manifolds: New Frontiers and Recent Progress (1)

    • Johann Brauchart: Overview/Hyperuniformity in the Compact Setting: Deterministic and Random Aspects
    • Jordi Marzo: Determinantal Point Processes and Optimality

    Points on the Sphere and Other Manifolds: New Frontiers and Recent Progress (2)

    • Damir Ferizovic: Bounds for the Green Energy on SO(3)
    • Maria De Ujue Etayo: t-Designs on Manifolds: an Asymptotic Bound on the Number of Points

    Points on the Sphere and Other Manifolds: New Frontiers and Recent Progress (3)

    • Peter D. Dragnev: Universal Bounds on Energy of Codes and Designs in Various Settings
    • Tetiana Stepaniuk: Estimates for numerical integration errors on unit spheres of arbitrary dimension

    Practice of QMC methods (1)

    • Adrian Ebert:     Efficient usage and construction of QMC methods
    • Michael_Gnewuch: Probabilistic discrepancy bounds for Latin hypercube sampling with and without padding

    Practice of QMC methods (2)

    • Yuya Suzuki: Rank-1 lattices and higher-order exponential splitting for the multi-dimensional time-dependent Schrodinger equation
    • Domingo Gomez Perez: Generation of True Random Numbers using quasi-Monte Carlo Methods

    Acceleration of MCMC

    • Thomas Catanach: Sequential Tempered Markov Chain Monte Carlo for Bayesian Inference
    • Maksym Byshkin: Fast Maximum Likelihood estimation via Equilibrium Expectation for large network data

    Multilevel Monte Carlo methods

    • Emil Løvbak: Multilevel Monte Carlo for Asymptotic-Preserving Particle Schemes
    • Andreas Van Barel: Robust Optimization of PDE Constrained Systems

    Feynman-Kac

    • Arnaud Lionnet: The Numerical Approximation Of Polynomial-Growth Backward Stochastic Differential Equations
    • Marie BILLAUD FRIESS: Stochastic methods for solving partial differential equations in high dimension

    Rare event simulation

    • Pierre Nyquist: Rare-event simulation in machine learning: Infinite swapping and restricted Boltzmann machines
    • Art Owen: ALOE importance sampler for the union of rare events
    • Chang-Han Rhee: Efficient Rare-Event Simulation for Multiple Jump Events in Regularly Varying Random Walks and Compound Poisson Processes

    Simulation in finance and operation management

    • Lihua Sun: A Nonprametric Method for Pricing and Hedging American Options
    • Jun Luo: Speeding Up Ranking and Selection Procedures for Large Scale Problems Using Cloud Computing
    • Guangxin Jiang: Constructing Surface for Derivative Pricing and Sensitivity Analysis

    Markov Chain QMC

    • Shin Harase : An Implementation of Short-Period Tausworthe Generators for Markov Chain quasi-Monte Carlo Method
    • Tobias Schwedes: Adaptive Importance Sampling for Markov Chain Quasi-Monte Carlo
    • Rami El Haddad: Sudoku Sampling For Markov Chains Simulation

    MCMC and large size

    • Paulo Orenstein: Scalable MCMC for Bayes Shrinkage Priors
    • James Johndrow: Scaling MCMC to Large Problem Sizes
    • Jack Baker: Stochastic Sampling from the Probability Simplex and Dirichlet Processes

    Algorithms for High-Dimensional Approximation (and Integration) Problems

    • Yuhan Ding: An Optimal Automatic Algorithm Employing Continuous Linear Functionals
    • Aicke Hinrichs: How good is random information? – Approximation in the Hilbert space setting
    • Klaus Ritter: Integration and $L_2$-Approximation on Hermite Spaces of Functions of Infinitely-Many Variables
    • Henryk Wozniakowski: Tractability of Multivariate Approximation over Weighted Standard Sobolev Spaces

    Uncertainty Quantification and Sensitivity Analysis in Computational Finance

    • Sergei Kucherenko: Application of QMC and Global Sensitivity Analysis to Option Pricing and Greeks
    • Emanouil Atanassov: Sensitivity Analysis of Quasi-Monte Carlo methods for the Heston Model
    • Giray Okten: Sensitivity and Robustness of Financial Models
    • Alexender Kreinin: Sensitivities of Exotic Portfolios

    MC in Finance

    • Daniel Roth: Monte Carlo pathwise sensitivities for barrier options
    • Warren Volk-Makarewicz: Detecting the Presence of Jumps in Option Prices

    Design and testing of random number generators

    • Sebastiano Vigna: xoshiro/xoroshiro: new families of high-quality, high-speed PRNGs
    • Hiroshi Haramoto: Testing the Reliability of Statistical Tests for Pseudorandom Number Generators
    • Pierre L’Ecuyer: On the Lattice Structure of MIXMAX Random Number Generators

    Computational challenges in finance

    • Christian Bayer: Smoothing the payoff for computation of basket options
    • Jean-François Chassagneux: Cubature method to solve BSDEs: error expansion and complexity control
    • Gilles Pagès: The Parareal Algorithm for American Options

    Rare events

    • Jere Koskela: Sequential Monte Carlo for efficient sampling of rare trajectories in reverse time
    • Harsha Honnappa: Large Deviations of Gaussian Block Extrema
    • Ad Ridder: Monte Carlo Methods for Insurance Risk Computation

    Approximating Markov chain Monte Carlo

    • Krzysztof Latuszynski: Barkerâ??s algorithm for Bayesian inference with intractable likelihoods
    • Blazej Miasojedow: On a new approach of the Unadjusted Langevin Algorithm via convex optimization
    • Nikolaus Schweizer: Approximation of geometrically ergodic Metropolis-Hastings algorithms
    • Matti Vihola: Importance Sampling Type Estimators based on Approximate Marginal MCMC

    Importance Splitting for Rare Event Simulation

    • Charles-Edouard Brehier: New results concerning Adaptive Multilevel Splitting algorithms
    • Gregoire Ferre: Numerical analysis and long time stability of Feynman-Kac dynamics
    • Nicolas Champagnat: Convergence of Fleming-Viot particle systems to the mininal quasi-stationary distribution
    • Henri Louvin: Application of an importance splitting method to radiation shielding simulations

    Dispersion and Applications

    • Mario Ullrich: The inverse of the dispersion depends logarithmically on the dimension
    • David Krieg: On the Dispersion of Sparse Grids
    • Daniel Rudolf: Recovery algorithms for high-dimensional rank one tensors
    • Jan Vybiral: On further aspects of dispersion

    When to stop a simulation

    • Fred Hickernell: Fast Adaptive Bayesian Cubature Using Low Discrepancy Sampling
    • Robert Kunsch: Solvable Integration Problems and Optimal Sample Size Selection
    • Wojciech Niemiro: Estimation of Poisson Intensity with Fixed Relative Precision
    • Mark Huber: Improved Light Tailed Sample Averages for Robust Estimation of the Mean

    Recent advances in particle filtering

    • Mathieu Gerber: Interacting Particles for Online Inference on Static Parameters Using Streaming Data
    • Anna Wigren: Improving the particle filter for high–dimensional problems using artificial process noise
    • Pierre Del Moral: On the stability and the uniform propagation of chaos properties of ensemble Kalman–Bucy filters
    • Nicolas Chopin: Convergence of resampling algorithms

    Nuclear applications

    • Bert Mortier: Study of Source Term Estimators in Coupled Finite-Volume/Monte-Carlo Methods for Plasma Edge Simulations in Nuclear Fusion
    • Dmitry Savin: Monte Carlo simulation of multiple particle spectra with energy and momentum conservation
    • Zhicheng Ji: A Batch on Patch Parallel Scheme in Monte Carlo Particle Transport Program
    • Gang Li: High Precision Shielding Calculation For Qinshan-I Reactor Model With Monte Carlo Particle Transport Code JMC

    Non-uniform Random Variate Generation (1)

    • Josef Leydold: Optimal Importance Sampling Density 1: Approximation Methods
    • Wolfgang Hormann: Optimal Importance Sampling Density 2: Evaluating CDF and PDF of the Sum of Lognormals
    • Luca Martino: Parsimonious Adaptive Rejection Sampling Schemes
    • Efraim Shmerling: Acceptance Tail Sampling Method

    Non-uniform Random Variate Generation (2)

    • Moran Peri: A Table Method for Sampling from Multivariate Distrbutions with Unbounded Support
    • Yael Hagbi: Generation of Waiting Time in a Markovian Trial Sequence

    Low discrepancy sequences and point sets – devoted to the 80th birthday of Henri Faure (1)

    • Christiane Lemieux: Counting Points in Boxes with Henri Faure: From Discrepancy Bounds to Dependence Structures
    • Peter Kritzer: Discrepancy Bounds for Nets and Sequences
    • Takashi Goda: Quasi-Monte Carlo integration over a triangle
    • Florian Pausinger: On the intriguing search for good permutations

    Low discrepancy sequences and point sets – devoted to the 80th birthday of Henri Faure (2)

    • Gerhard Larcher: On discrepancy and pair correlation of sequences in the unit interval
    • Josef Dick: Richardson Extrapolation of Polynomial Lattice Rules

    Simulation of mean-field stochastic differential equations

    • Mireille Bossy: Particle algorithm for McKean SDE: rate of convergence  for some non-smooth drift interaction  kernel
    • Denis Belomestny: Variance reduction for mean-field stochastic differential equations
    • Lukasz Szpruch: Weak error expansion for mean-field SDEs
    • Alexandre Zhou: Numerical Analysis of a Particle Calibration Procedure for Local and Stochastic Volatility Models

    Analysis of low-discrepancy sequences

    • Lisa Kaltenböck: On Bounded Remainder Sets for Sequences $(\{a_n\alpha\})_{n\geq 1}$ with $(a_n)_{n \geq 1}$ a Lacunary Integer Sequence
    • Hiroki Kajiura: Characterization of Matrices B such that (I,B,B^2) Generates a Digital Net with t-value Zero
    • Wolfgang Stockinger : SOME NEGATIVE RESULTS RELATED TO POISSONIAN PAIR CORRELATION PROBLEMS
    • Raffaelo Seri : The Asymptotic Distribution of Riesz’ Energy

    Jittered sampling

    • Benjamin Doerr: A Sharp Discrepancy Bound for Jittered Sampling
    • Matasake Hirao: On p-frame potential of random point configurations on the sphere

    Improving MC and QMC integration

    • Florian Puchhammer: Density estimation by randomized quasi-Monte Carlo
    • Yuji Nakatsukasa: Variance reduction in Monte Carlo integration via function approximation

    Variance reduction/estimator efficiency/rare-event probability

    • Nadhir Ben Rached: Variance Reduction Techniques for the Accurate Computation of the Distribution of the sum of Ordered Random Variables
    • Guo-Jhen Wu: Infinite swapping using iid samples
    • Thomas Taimre: Exploiting Asymptotics and Polar Coordinates for Rare Tail Estimation
    • Fan Zhang: Data-Driven Distributionally Robust Optimization via Optimal Transport: Algorithms and Applications

    Efficient Sampling

    • Benjamin Jourdain: Sampling of probability measures in the convex order and approximation of Martingale Optimal Transport problems
    • Daniele Bigoni: Adaptive Construction of Transport Maps for Efficient Sampling
    • Andrés F. López-Lopera: Efficiently approximating Gaussian Process Emulators with Inequality Constraints using MC/MCMC

    Stochastic Differential Equations

    • Ankush Agarwal: FINITE VARIANCE UNBIASED ESTIMATION OF STOCHASTIC DIFFERENTIAL EQUATIONS
    • Przemyslaw Zielinski: Micro-macro acceleration method with relative entropy moment matching for scale-separated SDEs
    • Andreas Petersson: Rapid covariance based sampling of finite element approximations of linear SPDE in MLMC

    Sequential methods and efficiency

    • Andrea Arnold: Sequential Monte Carlo Methods for Time-Varying Parameter Estimation
    • Chris Drovandi: New Insights into History Matching via Sequential Monte Carlo
    • Victor Elvira: Rethinking the Effective Sample Size in Importance Sampling

    Monte Carlo in physics (1)

    • Matthias Baeten: Convergence Analysis of a Coupled Monte-Carlo/Pseudo-Timestepping Scheme Arising in Plasma Edge Simulation
    • DanHua ShangGuan: Efficient Strategy for Global Tallying in the Monte Carlo Criticality Calculation
    • Natalya Tracheva: Monte Carlo method projective estimators for angular and temporal characteristics evaluation of polarized radiation

    Monte Carlo in physics (2)

    • Naser Vosughi: NEUTRON SOURCE LOCALIZATION BY ANALYZING THE DETECTOR RESPONSES AND MARKOV CHAIN MONTE CARLO (MCMC) METHOD
    • Anna Korda: Monte-Carlo methods for reconstructing the aerosol scattering matrix
    • Mariya Korotchenko: Some Applications of Dynamics Simulation for Multi-Particle Systems in the Kinetic Model Framework

    o MCQMC in Computer Graphics

    • Nikolaus Binder: Fragmented Radix Trees for Efficient Sampling of Discrete Probability Distributions
    • Christophe Hery: On the Usage of Control Variates for Monte Carlo Direct Illumination in Movie Rendering
    • Wenzel Jacob: Reversible Jump Metropolis Light Transport using Inverse Mappings

    Monte Carlo for rare events

    • Javiera Barrera: Sharp Bounds for the Reliability of a k-out-of-n System Under Dependent Failures Using Cutoff Phenomenon Techniques
    • Gerardo Rubino: The Multi-Level Creation Process in Flow Network Reliability Estimation
    • Hector Cancela: Studying Metabolic Networks Through Monte Carlo Simulations
    • Ajit Rai: Availability Estimation of Markovian Reliability Systems with Logistics via Cross-Entropy

    QMC and quadrature strategies for integration

    • Pieterjan Robbe: A Multigrid Multilevel Quasi-Monte Carlo Method with Sample Reuse
    • Lutz Kammerer Combining Multiple Rank-1 Lattice Rules for Approximation
    • Mutsuo Saito: Experimental Comparison of Higher-Order Digital Nets for QMC
    • Matthias Sachs: Quadrature Points via Heat Kernel Repulsion

    MCMC : Model selection and convergence

    • Faming Liang: Average (E)BIC-like Criteria for Bayesian Model Selection
    • Georgy Sofronov: Spatial Segmentation via the Generalized Gibbs Sampler
    • Dootika Vats: MCMC for Bayesian penalized regression
    • Marie Vialaret: On the convergence time of some non-reversible Markov chain Monte-Carlo methods

    Handling Discontinuities in QMC with Applications to Computational Finance

    • Xiaoqun Wang: OVERCOMING THE CHALLENGES IN QMC METHODS FOR COMPUTATIONAL FINANCE
    • Fei Xie: AN IMPORTANCE SAMPLING-BASED SMOOTHING APPROACH FOR QUASI-MONTE CARLO SIMULATION OF
      DISCRETE BARRIER OPTIONS
    • Zhijian He: ON THE ERROR RATE OF CONDITIONAL QUASI-MONTE CARLO FOR DISCONTINUOUS FUNCTIONS

    SDE, solutions and convergence rate

    • Abir Ghannoum : Mean Reflected Stochastic Differential Equations with jumps : Simulation by using Particle System
    • Flavius Guias: High precision solvers for autonomous systems of differential equations based on Markov jump processes
    • Céline Labart : Approximation rate of BSDEs using random walk

    Applications of MC

    • Lingbin Bian; Network structure change point detection using randomize-then-optimize
    • Julien Roussel: A Perturbative Approach to Control Variates in Molecular Dynamics
    • Chi-Ok Hwang: Laplace Surface Green’s Function on a Spherical Surface for Last-passage Monte Carlo Methods