Conference facilities include an auditorium and 3 lecture rooms. We have a maximum of 4 parallel sessions.
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 session programmes are in:
Note that satellite schedules below are indicative. Please see the satellite websites for exact scheduling.
Levi Express gondola opens at 08.30. Alternatively, Bayes Comp bus service from Zero Point to Levi Summit.
Levi Express gondola opens at 08.30. Alternatively, Bayes Comp bus service from Zero Point to Levi Summit.
Levi Express gondola opens at 08.30. Alternatively, Bayes Comp bus service from Zero Point to Levi Summit.
An Automatic Finite-Sample Robustness Check for Bayes and Beyond: Can Dropping a Little Data Change Conclusions?
Chair: Lassi Roininen, LUT University, Finland
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
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
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
Poster size: A0 portrait or A1 landscape.
Snacks and drinks.
Levi Express gondola opens at 08.30. Alternatively, Bayes Comp bus service from Zero Point to Levi Summit.
How many steps are needed for random walk Metropolis? Explicit convergence bounds for Metropolis Markov chains
Chair: Matti Vihola, University of Jyväskylä, Finland
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
15.00-15.45 Grand Challenges for Bayesian Computation
15.45-16.30 Probabilistic Programming
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
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
Levi Express gondola opens at 08.30. Alternatively, Bayes Comp bus service from Zero Point to Levi Summit.
Adversarial Bayesian Simulation
Chair: Antonietta Mira, Università della Svizzera italiana, Switzerland, and University of Insubria, Italy
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
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
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
Chairs: Lassi Roininen and Matt Moores
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