Satellite events 12-14 March
Bayes Comp 15-17 March
Levi, Finland

Satellite events 12-14 March Bayes Comp 15-17 March Levi, FinlandSatellite events 12-14 March Bayes Comp 15-17 March Levi, FinlandSatellite events 12-14 March Bayes Comp 15-17 March Levi, Finland
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Satellite events 12-14 March
Bayes Comp 15-17 March
Levi, Finland

Satellite events 12-14 March Bayes Comp 15-17 March Levi, FinlandSatellite events 12-14 March Bayes Comp 15-17 March Levi, FinlandSatellite events 12-14 March Bayes Comp 15-17 March Levi, Finland
Home
Programme
Abstracts
Registration
Travel
Sponsors
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Conference arrangements

Onsite participation

Conference facilities include an auditorium and 3 lecture rooms. We have a maximum of 4 parallel sessions.

Online participation

We will stream the auditorium session and one of the parallel sessions from Sunday to Friday. Two lecture rooms do not have streaming. The streaming will be handled by EventWorks.

Satellite programmes

Satellite session programmes are in:

  • Bayesian Inference of Epidemics (online participation available)
  • Bayesian computing without exact likelihoods (online participation available)
  • Uncertainty quantification and inverse problems (no online participation)


Note that satellite schedules below are indicative. Please see the satellite websites for exact scheduling.

Sunday 12 March

18.00-20.00 Satellite ice-breaker

20.00-22.00 Satellite opening

Monday 13 March

08.30-09.20 Transport to Levi Summit

Levi Express gondola opens at 08.30. Alternatively, Bayes Comp bus service from Zero Point to Levi Summit.

09.20-10.10 Satellite I

10.10-10.30 Coffee

10.30-12.00 Satellite II

12.00-15.00 Lunch & Ski

15.00-18.30 Satellites III-IV

Tuesday 14 March

08.30-09.20 Transport to Levi Summit

Levi Express gondola opens at 08.30. Alternatively, Bayes Comp bus service from Zero Point to Levi Summit.

09.20-10.10 Satellite I

10.10-10.30 Coffee

10.30-12.00 Satellite II

12.00-15.00 Lunch & Ski

15.00-18.30 Satellites III-IV

Wednesday 15 March

08.30-09.15 Transport to Levi Summit

Levi Express gondola opens at 08.30. Alternatively, Bayes Comp bus service from Zero Point to Levi Summit.

09.15-09.20 Opening remarks: Lassi Roininen & Matt Moores

09.20-10.10 Keynote I: Tamara Broderick, Massachusetts Institute of Technology, USA

An Automatic Finite-Sample Robustness Check for Bayes and Beyond: Can Dropping a Little Data Change Conclusions?

Chair: Lassi Roininen, LUT University, Finland

10.10-10.30 Coffee

10.30-12.00 Parallel I: 4 invited sessions

Auditorium & Online I
State-space modelling and particle filtering - Chair: Nicolas Chopin, ENSAE, France

10.30-11.00 Adrien Corenflos, Aalto University, Finland

11.00-11.30 Hai-Dang Dau, University of Oxford, United Kingdom

11.30-12.00 Axel Finke, Loughborough University, United Kingdom


Room I

Stein Discrepancies - Chair: Jeremias Knoblauch, University College London, United Kingdom

10.30-11.00 Chris Oates, Newcastle University, United Kingdom

11.00-11.30 Heishiro Kanagawa, Newcastle University, United Kingdom

11.30-12.00 Marina Riabiz, King's College London, United Kingdom 


Room II

Measuring Quality of MCMC Samples - Chair: Dootika Vats, Indian Institute of Technology, India

10.30-11.00 Hyebin Song, Pennsylvania State University, USA

11.00-11.30 Medha Agarwal, University of Washington, USA

11.30-12.00 James Flegal, University of California, Riverside, USA


Room III & Online II

What lies beneath - Some recent advances in Bayesian nonparametrics - Chair: Jim Griffin, University College London, United Kingdom 

10.30-11.00 Jeff Miller, Harvard University, USA

11.00-11.30 Botond Szabo, Bocconi University, Italy

11.30-12.00 Raffaele Argiento, Università degli Studi di Bergamo, Italy

12.00-15.00 Lunch & Ski

15.00-16.30 Parallel II: 4 invited sessions

Auditorium & Online I
Advances in twisted models for sequential Monte Carlo - Chair: Anthony Lee, University of Bristol, United Kingdom

15.00-15.30 Adam Johansen, University of Warwick, United Kingdom

15.30-16.00 Nicolas Chopin, ENSAE, France

16.00-16.30 Joshua Bon, Queensland University of Technology, Australia


Room I

Robust innovations in gradient-based MCMC - Chair: Samuel Livingstone, University College London, United Kingdom

15.00-15.30 Chris Sherlock, Lancaster University, United Kingdom 

15.30-16.00 Mauro Camara Escudero, University of Bristol, United Kingdom

16.00-16.30 Lionel Riou-Durand, University of Warwick, United Kingdom


Room II

Bayesian computation to track the pandemic - Chair: Theodore Kypraios, University of Nottingham, United Kingdom 

15.00-15.30 Christopher Jewell, Lancaster University, United Kingdom

15.30-16.00 Alfonso Diz-Lois Palomares, Norwegian Institute of Public Health, Norway

16.00-16.30 Daniela De Angelis, University of Cambridge, United Kingdom


Room III & Online II

Bayesian statistics for environmental data - Chair: Mari Myllymäki, Natural Resources Institute Finland 

15.00-15.30 Jeffrey W. Doser, Michigan State University, USA

15.30-16.00 Jarno Vanhatalo, University of Helsinki, Finland

16.00-16.30 Janine Illian, University of Glasgow, United Kingdom

16.30-18.00 Parallel III: lightning talks and 3 invited sessions

Auditorium & Online I
Lightning talks about the posters - Chair: Christian Robert, Université Paris-Dauphine, France

Sanket Agrawal, University of Warwick, Optimal scaling of MCMC beyond Metropolis

Luca Alessandro Silva, Bocconi university, Robust Leave-one-out cross validation for high dimensional Bayesian models

Jonas Bauer, Universität Bielefeld, Efficient sampling from high-dimensional Bayesian mixture models for scRNA data

Stephen Berg, Penn State University, Control Variates and Rao-Blackwellization for Deterministic Sweep Markov Chains

Nicola Branchini, The University of Edinburgh, Generalized Self-Normalized Importance Sampling

Josefina Correa, Massachusetts Institute of Technology, A State-Space Random Effects Point Process Model for Estimating Spike Rate Functions

Richard Everitt, University of Warwick, ABC-SMC^2

Xitong (Tony) Liang, University College London, Adaptive Random Neighbourhood Informed MCMC on Bayesian Variable Selection

Tamas Papp, Lancaster University, Asymptotically optimal coupling for the random walk Metropolis

Bernardo Williams Moreno Sánchez, University of Helsinki, Geometric No-U-Turn-Sampler

Marvin Schmitt, University of Stuttgart, Detecting Model Misspecification in Amortized Simulation-Based Inference

Nikolas Siccha, Aalto University, A novel warm-up for HMC based samplers


Room I

Optimisation meets sampling - Chair: Chris Nemeth, Lancaster University, United Kingdom

16.30-17.00 Louis Sharrock, Lancaster University, United Kingdom

17.00-17.30 Nikolas Nüsken, King's College London, United Kingdom

17.30-18.00 Adil Salim, Microsoft research, USA


Room II

Robustness to model misspecification - Chair: Jeff Miller, Harvard University, USA

16.30-17.00 Jonathan Huggins, Boston University, USA

17.00-17.30 Catherine Xue, Harvard University, USA

17.30-18.00 Ryan Giordano, Massachusetts Institute of Technology, USA


Room III & Online II

Bayesian regression on networks - Chair: Sameer Deshpande, University of Wisconsin-Madison, USA

16.30-17.00 Anna Menacher, University of Oxford, United Kingdom

17.00-17.30 Alexander Nikitin, Aalto University, Finland

17.30-18.00 Sameer Deshpande, University of Wisconsin-Madison, USA

18.00-20.00 Posters

Poster size: A0 portrait or A1 landscape.


Snacks and drinks.

Thursday 16 March

08.30-09.20 Transport to Levi Summit

Levi Express gondola opens at 08.30. Alternatively, Bayes Comp bus service from Zero Point to Levi Summit.

09.20-10.10 Keynote II: Anthony Lee, University of Bristol, United Kingdom

How many steps are needed for random walk Metropolis? Explicit convergence bounds for Metropolis Markov chains


Chair: Matti Vihola, University of Jyväskylä, Finland

10.10-10.30 Coffee

10.30-12.00 Parallel IV: 4 invited sessions

Auditorium & Online I

Scalable Monte Carlo - Chair: Paul Fearnhead, Lancaster University, United Kingdom 

10.30-11.00 Giacomo Zanella, Bocconi University, Italy

11.00-11.30 Francesca Crucinio, University of Warwick, United Kingdom

11.30-12.00 Nikola Surjanovic, University of British Columbia, Canada


Room I

Computational challenges in modeling complex data - Chair: Raffaele Argiento, Università degli Studi di Bergamo, Italy 

10.30-11.00 Amy Herring, Duke University, USA

11.00-11.30 Sirio Legramanti, University of Bergamo, Italy

11.30-12.00 Gregor Kastner, University of Klagenfurt, Austria


Room II

Evidence synthesis: conflicts, splits and cuts - Chair: Anne Presanis, University of Cambridge United Kingdom

10.30-11.00 Noa Kallioinen, Aalto University, Finland

11.00-11.30 Yu Xuejun, National University of Singapore, Singapore

11.30-12.00 Robert Goudie, University of Cambridge, United Kingdom


Room III & Online II

Trust and adding new algorithms to probabilistic programming frameworks - Chair: Aki Vehtari, Aalto University, Finland

10.30-11.00 Måns Magnusson, Uppsala University, Sweden

11.00-11.30 Lu Zhang, University of Southern California, USA

11.30-12.00 Mitzi Morris, Columbia University, USA

12.00-15.00 Lunch & Ski

15.00-16.30 Panel discussions

15.00-15.45 Grand Challenges for Bayesian Computation 

  • Moderator: Chris Oates, Newcastle University, United Kingdom
  • Janine Illian, University of Glasgow, United Kingdom
  • Nicolas Chopin, ENSAE, Institut Polytechnique de Paris, France
  • Jeremias Knoblauch, University College London
  • Mari Myllymäki, Natural Resources Institute Finland

15.45-16.30 Probabilistic Programming 

  • Moderator: Aki Vehtari, Aalto University, Finland
  • Mitzi Morris, Columbia University, USA
  • Junpeng Lao (Google, Switzerland)
  • Tor Fjelde, Turing.jl / Cambridge University, United Kingdom
  • Henri Pesonen, ELFI / Oslo University Hospital, Norway

16.30-18.00 Parallel V: 4 invited sessions

Auditorium & Online I
Piecewise deterministic Monte Carlo: Recent Advances - Chair: Gareth Roberts, University of Warwick, United Kingdom

16.30-17.00 Gareth Roberts, University of Warwick, United Kingdom

17.00-17.30 Sebastiano Grazzi, University of Warwick, United Kingdom

17.30-18.00 Paul Fearnhead, Lancaster University, United Kingdom


Room I

Likelihood-free inference with kernel distances - Chair: François-Xavier Briol, University College London, United Kingdom 

16.30-17.00 Charita Dellaporta, University of Warwick, United Kingdom

17.00-17.30 Lorenzo Pacchiardi, University of Oxford, United Kingdom

17.30-18.00 Ayush Bharti, Aalto University, Finland


Room II

New tools for high-dimensional Bayesian inference from physics and ML - Chair: Antonietta Mira, Università della Svizzera italiana, Switzerland, and University of Insubria, Italy

16.30-17.00 Aldo Glielmo, International School for Advanced Studies (SISSA) and Bank of Italy, Italy

17.00-17.30 Simone Ulzega, Swiss University of Applied Sciences, Switzerland

17.30-18.00 Dhiman Ray, Italian Institute of Technology, Italy


Room III & Online II

MCMC for Multi-Modal Distributions - Chair: Raiha Browning, University of Warwick, United Kingdom 

16.30-17.00 Saifuddin Syed, University of Oxford, United Kingdom

17.00-17.30 Matt Moores, University of Wollongong, Australia

17.30-18.00 Krzysztof Łatuszyński, University of Warwick, United Kingdom

18.00-21.00 Dinner in Saamen kammi

Saamen kammi

Dinner is at Saamen Kammi https://www.kammi.fi/menu-eng. — unfortunately dinner tickets were sold out long ago, so dinner is only for those who managed to reserve tickets early. If someone is not coming, please donate/sell your tickets to colleagues! 


The dinner schedule is limited and a bit tight. We have a restaurant booked from 18:00 and other customers will be arriving at the restaurant at 9pm (we need to be out of restaurant by that). As the scientific programme will end at 18.00, we will have to make a quick transition downhill. There are two buses leaving Levi Summit immediately after the sessions, so be quick. The return buses leave at 20.30.


18.05 Bus: Levi Summit - Saamen Kammi                           

20.30 Bus: Saamen Kammi - Levi Panorama

Friday 17 March

08.30-09.20 Transport to Levi Summit

Levi Express gondola opens at 08.30. Alternatively, Bayes Comp bus service from Zero Point to Levi Summit.

09.20-10.10 Keynote III: Veronika Rockova, University of Chicago Booth School of Business, USA

Adversarial Bayesian Simulation


Chair: Antonietta Mira, Università della Svizzera italiana, Switzerland, and University of Insubria, Italy

10.10-10.30 Coffee

10.30-12.00 Parallel VI: 3 invited sessions

Auditorium & Online I
Advances in theory and methodology of MCMC - Chair: Matti Vihola, University of Jyväskylä, Finland

10.30-11.00 Christophe Andrieu, University of Bristol, United Kingdom

11.00-11.30 Błażej Miasojedow, University of Warsaw, Poland

11.30-12.00 Jimmy Olsson, KTH Royal Institute of Technology, Sweden


Room I

Piecewise deterministic Monte Carlo - Chair: Sebastiano Grazzi, University of Warwick, United Kingdom

10.30-11.00 Ardjen Pengel, Delft University of Technology, Netherlands

11.00-11.30 Marc Corstanje, Vrije Universiteit Amsterdam, Netherlands

11.30-12.00 Joris Bierkens, Delft University of Technology, Netherlands


Room II

Approximate Bayesian Computation - Chair: Christian Robert, Université Paris-Dauphine, France

10.30-11.00 Umberto Picchini, Chalmers University of Technology and University of Gothenburg, Sweden

11.00-11.30 Giorgos Vasdekis, University College London, United Kingdom

11.30-12.00 Jeremias Knoblauch, University College London, United Kingdom


Room III & Online II

Normalising Flows to Enhance Bayesian Sampling - Chair: Joshua Bon, Queensland University of Technology, Australia

10.30-11.00 Marylou Gabrie, École Polytechnique, France

11.00-11.30 Michael Arbel, INRIA grenoble Rhône-Alpes, France

11.30-12.00 Laurence Davies, Queensland University of Technology, Australia

12.00-13.00 Lunch

13.00-14.30 Parallel VII: 4 invited sessions

Auditorium & Online I
Machine Learning meets Adaptive MCMC - Chair: Maxim Panov, Technology Innovation Institute, United Arab Emirates

13.00-13.30 Alain Durmus, École Polytechnique, France

13.30-14.00 Eric Moulines, École Polytechnique, France

14.00-14.30 Achille Thin, École Polytechnique, France


Room I

J-ISBA advances in scalable Bayesian methods - Chair: Ale Avalos, Technical University of Vienna, Austria

13.00-13.30 François-Xavier Briol, University College London, United Kingdom

13.30-14.00 Karla Monterrubio-Gómez, University of Edinburgh, United Kingdom

14.00-14.30 Andrea Bertazzi, Delft University of Technology, Netherlands


Room II

Statistical Computing for Phylogenetics - Chair: Luiz Max Carvalho, School of Applied Mathematics, Getulio Vargas Foundation, Brazil

13.00-13.30 Jason Xu, Duke University, USA

13.30-14.00 Luke Kelly, University College Cork, Ireland

14.00-14.30 Ian Roberts, University of Warwick, United Kingdom


Room III & Online II

Recent Advances in Variational Inference - Chair: Anna Menacher, University of Oxford, United Kingdom

13.00-13.30 Debdeep Pati, Texas A&M University, USA

13.30-14.00 Yingzhen Li, Imperial College London, United Kingdom

14.00-14.30 Trevor Campbell, University of British Columbia, Canada

14.30-16.00 Parallel VIII: 4 contributed sessions (talks 20 minutes or 30 minutes!!)

Auditorium & Online I

Chair: Heikki Haario, LUT University, Finland

14.30-15.00 Alexandros Beskos (University College London, United Kingdom), Manifold Markov chain Monte Carlo methods for Bayesian inference in diffusion models

15.00-15.30 Max Hird (University College London, United Kingdom), Preconditioning for MCMC

15.30-16.00 Elena Bortolato (University of Padova, Italy), Convergence of MCMC algorithms on manifolds through coupling techniques


Room I

Chair: Karla Monterrubio-Gomez, University of Edinburgh, United Kingdom

14.30-14.50 Filippo Ascolani (Bocconi University, Italy), Complexity of Gibbs Samplers through Bayesian asymptotics

14.50-15.10 Alberto Cabezas Gonzalez (Lancaster University, United Kingdom), Transport Elliptical Slice Sampling

15.10-15.30 Miika Kailas (University of Jyväskylä, Finland), Online mass matrix adaptation for Hamiltonian Monte Carlo

15.30-15.50 Federica Milinanni (KTH Royal Institute of Technology, Sweden), Large Deviation Principle for the Metropolis-Hastings algorithm


Room II

Chair: Lassi Roininen, LUT University, Finland

14.30-14.50 Junpeng Lao (Google, Switzerland), A Functional Programming Approach to Composable Bayesian Workflow

14.50-15.10 Jack Jewson (Universitat Pompeu Fabra, Spain), Graphical model inference with external network data

15.10-15.30 Ale Avalos (Technical University of Vienna, Austria), Bayesian Inference of Multiple Ising Models for Heterogeneous Data

15.30-15.50 Olivier Zahm, (INRIA, France) Gradient-based data and parameter dimension reduction for Bayesian models


Room III & Online II

Chair: Christophe Andrieu, University of Bristol, United Kingdom

14.30-15.00 Matti Vihola (University of Jyväskylä, Finland), Conditional particle filters with bridge backward sampling

15.00-15.30 Raiha Browning (University of Warwick, United Kingdom), Flexible estimation of the temporal excitation pattern of discrete-time self-exciting processes

15.30-16.00 Victor Elvira (University of Edinburgh, United Kingdom), Massively Recycled Importance Sampling

16.00-16.15 Poster Prizes, Closing Remarks

Chairs: Lassi Roininen and Matt Moores

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