(Almost) Gradient-based Markov chain Monte Carlo Algorithms

Speakers

• Dr. Francesca Romana Crucinio, King’s College London
• Dr. Zhihao Wang, University of Copenhagen
• Dr. Siddharth Vishwanath, University of California, San Diego

Chair/Organiser

• Dr. Dootika Vats, Indian Institute of Technology Kanpur

Advanced Langevin Methods for Bayesian Sampling

Speakers

• Dr. Sam Power, University of Bristol
• Dr. Andi Wang, University of Warwick
• Dr. Peter Whalley, ETH Zurich

Chair/Organiser

• Dr. Neil K. Chada, City University of Hong Kong

Advances in efficient Bayesian inference for complex multivariate models

Speakers

• Prof. Nadja Klein, Karlsruhe Institute of Technology, Germany
• Dr. Luca Maestrini, Australian National University, Australia
• Associate Prof. Hien Nguyen, La Trobe University, Australia

Chair/Organiser

• Dr. Linda Tan, National University of Singapore

Advances in Heavy-Tailed Sampling: Bridging Theory and Practice

Speakers

• Dr. Federica Milinanni KTH Royal Institute of Technology
• Dr. Ye He, Georgia Institute of Technology
• Dr. Chang-Han Rhee, Northwestern University

Chair/Organiser

• Dr. Alex Shestopaloff, Queen Mary University of London
• Dr. Jun Yang, University of Copenhagen

Advances in MCMC methods

Speakers

• Prof. Alexandros Beskos, University College London
• Prof. Antonietta Mira, Università della Svizzera italiana, Lugano and Insubria University, Como
• Dr. Pariya Behrouzi, Wageningen University and Research, The Netherlands

Chair/Organiser

• Prof. Maria De Iorio, National University of Singapore

Advances in Methodology for Sequential Monte Carlo in High Dimensions

Speakers

• Prof. Sumeetpal Singh, University of Wollongong
• Dr. Axel Finke, Loughborough University
• Prof. Victor Elvira, University of Edinburgh

Chair/Organiser

• Prof. Alexandros Beskos, University College London

Advances in Variational Inference

Speakers

• Dr. Jeremias Knoblauch, University College London
• Dr. Charles Margossian, Flatiron Institute
• Dr. Kamélia Daudel, ESSEC Business School

Chair/Organiser

• Prof. Randal Douc, Télécom Sud Paris

Approximate Methods for Accelerated Sampling

Speakers

• Prof. Debdeep Pati, University of Wisconsin-Madison
• Associate Prof. Yun Yang, University of Maryland, College Park
• Dr. Leo Duan, University of Florida

Chair/Organiser

• Asst. Prof. Yuexi Wang, University of Illinois Urbana-Champaign

Bayesian computation in astrophysics

Speakers

• Dr. Avi Vajpeyi , University of Auckland
• Dr. Alvin Chua, National University of Singapore
• Dr. Joshua S. Speagle, University of Toronto

Chair/Organiser

• Dr. Kate Lee, University of Auckland

Bayesian Federated Learning

Speakers

• Dr. Louis Aslett, University of Durham, UK
• Dr. Conor Hassan, Aalto University
• Prof Jean-Michel Marin, Universite de Montpellier

Chair/Organiser

• Prof. Christian Robert

Comparison theory for modern MCMC methods

Speakers

• Rocco Caprio, University of Warwick
• Dr. Qian Qin, University of Minnesota
• Associate Prof. Giacomo Zanella, Bocconi University

Chair/Organiser

• Dr. Andi Q. Wang, University of Warwick

Computation and model criticism for highly parametrized Bayesian models

Speakers

• Prof. Maria De Iorio, National University of Singapore
• Dr. Lucas Kock, National University of Singapore
• Prof. Michael Smith, University of Melbourne

Chair/Organiser

• Associate Prof. David Nott, National University of Singapore

Computation-enabled Bayesian inference and prediction

Speakers

• Asst. Prof. Edwin Fong, Department of Statistics, University of Hong Kong
• Asst. Prof. Yan Shuo Tan, Department of Statistics, National University of Singapore
• Asst. Prof. Naoki Awaya, Faculty of Political Science and Economics, Waseda University, Japan

Chair/Organiser

• Prof. Li Ma, Duke University, USA

Cutting Feedback: Methods and Applications in Bayesian Settings

Speakers

• Dr. Mikolaj Kasprzak, ESSEC Business School, Paris
• Associate Prof. David Nott, National University of Singapore
• Dr. Pantelis Samartsidis, MRC Biostatistics Unit, University of Cambridge

Discussant

• Prof. Daniela De Angelis, MRC Biostatistics Unit, University of Cambridge

Chair

• Prof. Daniela De Angelis, MRC Biostatistics Unit, University of Cambridge

Organisers

• Dr. Anne Presanis

Flexible approximate inference methods

Speakers

• Prof. Robert Kohn, University of New South Wales
• Dr. Linda Tan, National University of Singapore
• Dr. David Chen, National University of Singapore

Chair/Organiser

• Associate Prof. David Nott, National University of Singapore

High-dimensional discrete model search

Speakers

• Prof. Yves Atchadé, Boston University
• Dr. Hyunwoong Chang, University of Texas at Dallas
• Dr. Déborah Sulem, Universitá de la Svizzera Italiana

Chair/Organiser

• Prof. David Rossell, Pompeu Fabra University

Manifold Markov chain Monte Carlo and beyond

Speakers

• Dr. Mareike Hasenpflug, University of Passau
• Dr. Cameron Bell, University of Warwick
• Dr. Björn Sprungk, University of Freiberg

Chair/Organiser

• Prof. Daniel Rudolf, University of Passau

Model misspecification and simulation-based Bayesian inference

Speakers

• Prof. David Frazier, Monash University
• Asst. Prof. Yuexi Wang, University of Illinois Urbana-Champaign
• Ryan Kelly, PhD student, Queensland University of Technology

Discussant

• Dr. Clara Grazian, University of Sydney

Chair/Organiser

• Prof. Chris Drovandi, Queensland University of Technology

Model Misspecification in Simulation-based Inference

Speakers

• Associate Prof. François-Xavier Briol, University College London, UK
• Prof. Paul Bürkner, TU Dortmund University, Germany
• Dr. Antoine Wehenkel, Apple

Chair/Organiser

• Dr. Ayush Bharti, Aalto University, Finland

Optimization and Control for Sampling

Speakers

• Dr. Lorenz Richter, Zuse Institute Berlin
• Dr. Nikolas Nusken, King's College London
• Dr. Nikolay Malkin, University of Edinburgh

Chair/Organiser

• Associate Prof. Alexandre Thiery, National University of Singapore

Parallel Computations for Markov chain Monte Carlo

Speakers

• Prof. Dootika Vats, Department of Mathematics and Statistics, Indian Institute of Technology
• Asst. Prof. Lu Yu, Department of Data Science, City University of Hong Kong
• Dr. Sebastiano Grazzi, Department of Decision Sciences, Bocconi University

Chair

• Dr. Charles Margossian, Flatiron Institute, Simons Foundation

Organisers

• Dr. Sebastiano Grazzi

PDMPs in Practice

Speakers

• Prof. Kengo Kamatani, The Institute of Statistical Mathematics
• Mr. Luke Hardcastle, University College London
• Dr. Jere Koskela, University of Newcastle

Discussant

• Dr. Samuel Livingstone, University College London

Chair

• Dr. Samuel Livingstone, University College London

Organisers

• Mr. Luke Hardcastle

Recalibration methods for improved Bayesian inference from approximate models

Speakers

• Dr. Jeong E (Kate) Lee, University of Auckland
• Dr. Guilherme Souza Rodrigues, University of Brasilia
• Adam Bretherton, Queensland University of Technology

Discussant

• Prof. Scott Sisson, University of New South Wales

Chair/Organiser

• Dr. Joshua Bon, Université Paris Dauphine

Recent advances in Sequential Monte Carlo methods

Speakers

• Prof. Pierre Del Moral, INRIA Bordeaux
• Dr. Adrien Corenflos, University of Warwick
• Asst. Prof. Ning Ning, Texas A&M University

Chair/Organiser

• Dr. Hai-Dang Dau, National University of Singapore

Scalable Causal Inference

Speakers

• Prof. Michael J. Daniels, University of Florida
• Prof. Hui Guo, University of Manchester
• Dr. Jack Kuipers, ETH Zürich

Chair/Organiser

• Prof. Maria De Iorio, National University of Singapore

Surrogate Models and Kernel Methods

Speakers

• Prof. Dino Sejdinovic, University of Adelaide
• Dr. Karina Koval, Heidelberg University
• Dr. Aretha Teckentrup, University of Edinburgh

Chair/Organiser

• Prof. Chris. J. Oates, Newcastle University

Variational Bayes for Uncertainty Quantification

Speakers

• Associate Prof. Trevor Campbell, University of British Columbia
• Associate Prof. Tamara Broderick, Massachusetts Institute of Technology
• Dr. Yuling Yao, University of Texas, Austin

Chair/Organiser

• Dr. Ryan Giordano and Dr. Alex Strang, University of California, Berkeley