I am a Research Fellow working with Theo Damoulas and Adam Johansen on the development of robust, scalable and automated MCMC methods. Before that I was a research fellow (at Warwick) with Wilfrid Kendall exploring the use of Dirichet forms to investigate theoretical properties (particularly optimal scaling) of MCMC methods. From April 2017 until September 2018 I was a postdoctoral research assistant at Queen Mary University of London with John Moriarty, working on simulation of rare events and other applications of MCMC methods to energy related problems. I did my PhD (2013-2017) at Imperial College London with Alex Mijatović on the topic of variance reduction using control variates obtained by approximately solving the Poisson equation. My main research interest focuses on methodological and theoretic aspects of computational statistical algorithms.

I was co-organising Algorithms & Computationally Intensive Inference seminarLink opens in a new window between May 19 and Jul 21

Preprints:

• L. Riou-Durand, J. Vogrinc. "Metropolis Adjusted Langevin Trajectories: a robust alternative to Hamiltonian Monte Carlo"

Selected Publications (see Google Scholar for the full list):

• L. Riou-Durand, P. Sountsov, J. Vogrinc, C. C. Margossian, & S. Power "Adaptive Tuning for Metropolis Adjusted Langevin TrajectoriesLink opens in a new window" accepted to AISTATS 2023
• J. Vogrinc, S. Livingstone, & G. Zanella. "Optimal design of the Barker proposal and other locally-balanced Metropolis-Hastings algorithms." Biometrika
• M. Goodridge, J. Moriarty, J. Vogrinc, A. Zocca. "Hopping between distant basins." Journal of Global Optimization, 1-25
• J. Vogrinc & W. S. Kendall (2021). "Counterexamples for optimal scaling of Metropolis-Hastings chains with rough target densities." The Annals of Applied Probability, Video
• J. Moriarty, J. Vogrinc & A. Zocca (2021). "The Skipping Sampler: A new approach to sample from complex conditional densities." Statistics and Computing
• A. Mijatović & J. Vogrinc. (2019) "Asymptotic variance for Random Walk Metropolis chains in high dimensions: logarithmic growth via the Poisson equation." Advances in Applied Probability
• A. Mijatović & J. Vogrinc. (2018) "On the Poisson equation for Metropolis-Hastings chains." Bernoulli

Mathematical Sciences Building
Rm MB2.13, Dept of Statistics

University of Warwick
Coventry, CV4 7AL

Email:
Jure.Vogrinc(at)warwick(dot)ac(dot)uk