HJ-sampler: A Bayesian sampler for inverse problems of a stochastic process by leveraging Hamilton-Jacobi PDEs…
A Primer on Variational Inference for Physics-Informed Deep Generative Modellingby Alex Glyn-Davies, Arnaud Vadeboncoeur, O.…
Amortized Bayesian Workflow (Extended Abstract)by Marvin Schmitt, Chengkun Li, Aki Vehtari, Luigi Acerbi, Paul-Christian Bürkner,…
Half-VAE: An Encoder-Free VAE to Bypass Explicit Inverse Mappingby Yuan-Hao Wei, Yan-Jie Sun, Chen ZhangFirst…
Inverse decision-making using neural amortized Bayesian actorsby Dominik Straub, Tobias F. Niehues, Jan Peters, Constantin…
Distributionally Robust Optimisation with Bayesian Ambiguity Setsby Charita Dellaporta, Patrick O'Hara, Theodoros DamoulasFirst submitted to…
Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of Multipliersby Alexandros…