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05/24/2023
Learning Rate Free Bayesian Inference in Constrained Domains
We introduce a suite of new particle-based algorithms for sampling on co...
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05/24/2023
CoinEM: Tuning-Free Particle-Based Variational Inference for Latent Variable Models
We introduce two new particle-based algorithms for learning latent varia...
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01/26/2023
Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates
In recent years, particle-based variational inference (ParVI) methods su...
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10/10/2022
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models
We introduce Sequential Neural Posterior Score Estimation (SNPSE) and Se...
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06/14/2022
Two-Timescale Stochastic Approximation for Bilevel Optimisation Problems in Continuous-Time Models
We analyse the asymptotic properties of a continuous-time, two-timescale...
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10/08/2021
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits
Generative modelling is an important unsupervised task in machine learni...
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06/25/2021
Parameter Estimation for the McKean-Vlasov Stochastic Differential Equation
In this paper, we consider the problem of parameter estimation for a sto...
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09/18/2020
Joint Online Parameter Estimation and Optimal Sensor Placement for the Partially Observed Stochastic Advection-Diffusion Equation
In this paper, we consider the problem of jointly performing online para...
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07/31/2020