Summary of Kernel Semi-implicit Variational Inference, by Ziheng Cheng et al.
Kernel Semi-Implicit Variational Inferenceby Ziheng Cheng, Longlin Yu, Tianyu Xie, Shiyue Zhang, Cheng ZhangFirst submitted…
Kernel Semi-Implicit Variational Inferenceby Ziheng Cheng, Longlin Yu, Tianyu Xie, Shiyue Zhang, Cheng ZhangFirst submitted…
Simulating infinite-dimensional nonlinear diffusion bridgesby Gefan Yang, Elizabeth Louise Baker, Michael L. Severinsen, Christy Anna…
Deterministic and statistical calibration of constitutive models from full-field data with parametric physics-informed neural networksby…
Bayesian Inference with Deep Weakly Nonlinear Networksby Boris Hanin, Alexander ZlokapaFirst submitted to arxiv on:…
Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantificationby Shang Liu, Zhongze Cai,…
Gaussian Measures Conditioned on Nonlinear Observations: Consistency, MAP Estimators, and Simulationby Yifan Chen, Bamdad Hosseini,…
Accelerating Multilevel Markov Chain Monte Carlo Using Machine Learning Modelsby Sohail Reddy, Hillary FairbanksFirst submitted…
Bayesian Prediction-Powered Inferenceby R. Alex Hofer, Joshua Maynez, Bhuwan Dhingra, Adam Fisch, Amir Globerson, William…
Outlier-robust Kalman Filtering through Generalised Bayesby Gerardo Duran-Martin, Matias Altamirano, Alexander Y. Shestopaloff, Leandro Sánchez-Betancourt,…
Variance Control for Black Box Variational Inference Using The James-Stein Estimatorby Dominic B. DaytaFirst submitted…