Each year the MPLS Division recruits a group of talented individuals who are passionate about equality, diversity and inclusion and are dedicated to making positive change within our institution. Together, these EDI Fellows work to develop initiatives, inform and implement our EDI action plan, and lead on activity to enable supportive and inclusive cultures within their departments and across MPLS.
Sequential monte carlo samplers
Del Moral, P
Doucet, A
(31 Dec 2002)
doi:10.48550/arxiv.cond-mat/0212648
Fluctuations of Interacting Markov Chain Monte Carlo Methods
Bercu, B
Del Moral, P
Doucet, A
(02 Jan 2012)
doi:10.48550/arxiv.1201.0480
Scalable Monte Carlo inference for state-space models
Yıldırım, S
Andrieu, C
Doucet, A
(07 Sep 2018)
doi:10.48550/arxiv.1809.02527
Noisy Adaptive Group Testing using Bayesian Sequential Experimental Design
Cuturi, M
Teboul, O
Berthet, Q
Doucet, A
Vert, J
(22 Jul 2020)
doi:10.48550/arxiv.2004.12508
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting
Vono, M
Paulin, D
Doucet, A
(08 Dec 2021)
doi:10.48550/arxiv.1905.11937
Mitigating Statistical Bias within Differentially Private Synthetic Data
Ghalebikesabi, S
Wilde, H
Jewson, J
Doucet, A
Vollmer, S
Holmes, C
(19 May 2022)
doi:10.48550/arxiv.2108.10934
On PAC-Bayesian reconstruction guarantees for VAEs
Chérief-Abdellatif, B
Shi, Y
Doucet, A
Guedj, B
(23 Feb 2022)
doi:10.48550/arxiv.2202.11455
Importance Weighting Approach in Kernel Bayes' Rule
Xu, L
Chen, Y
Doucet, A
Gretton, A
(10 Aug 2022)
doi:10.48550/arxiv.2202.02474
Reinforced Self-Training (ReST) for Language Modeling
Gulcehre, C
Paine, T
Srinivasan, S
Konyushkova, K
Weerts, L
Sharma, A
Siddhant, A
Ahern, A
Wang, M
Gu, C
Macherey, W
Doucet, A
Firat, O
de Freitas, N
(21 Aug 2023)
doi:10.48550/arxiv.2308.08998