On Multilevel Monte Carlo Unbiased Gradient Estimation for Deep Latent Variable Models. - Yuyang Shi 002; Rob Cornish (AISTATS, 2021)

Online Variational Filtering and Parameter Learning. - Andrew Campbell; Yuyang Shi 002; Thomas Rainforth; Arnaud Doucet (NeurIPS, 2021)

On PAC-Bayesian reconstruction guarantees for VAEs. - Badr-Eddine Chérief-Abdellatif; Yuyang Shi 002; Arnaud Doucet; Benjamin Guedj (AISTATS, 2022)

Conditional simulation using diffusion Schrödinger bridges. - Yuyang Shi 002; Valentin De Bortoli; George Deligiannidis; Arnaud Doucet (UAI, 2022)

From Denoising Diffusions to Denoising Markov Models. - Joe Benton; Yuyang Shi 002; Valentin De Bortoli; George Deligiannidis; Arnaud Doucet (CoRR, 2022)

Diffusion Schrödinger Bridge Matching. - Yuyang Shi 002; Valentin De Bortoli; Andrew Campbell; Arnaud Doucet (NeurIPS, 2023)

Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics. - Kamélia Daudel; Joe Benton; Yuyang Shi 002; Arnaud Doucet (J. Mach. Learn. Res., 2023)