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Bayesian statistics

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Approximation of Non-decaying Signals from Shift-Invariant Subspaces

Robust Biophysical Parameter Estimation with a Neural Network Enhanced Hamiltonian Markov Chain Monte Carlo Sampler

Overlapping Multi-Bandit Best Arm Identification

Interactive Generation of Calligraphic Trajectories from Gaussian Mixtures

Mirrored Langevin Dynamics

Mirrored Langevin Dynamics

Bayesian adaptation of chaos representations using variational inference and sampling on geodesics

Expectation propagation in the large data limit

Bayesian Uncertainty Quantification of Physical Models in Thermal-Hydraulics System Codes

Mean-Field methods for Structured Deep-Learning in Computer Vision

Approximation of Non-decaying Signals from Shift-Invariant Subspaces

Bayesian adaptation of chaos representations using variational inference and sampling on geodesics

Expectation propagation in the large data limit

Bayesian Uncertainty Quantification of Physical Models in Thermal-Hydraulics System Codes

Mirrored Langevin Dynamics

Overlapping Multi-Bandit Best Arm Identification

Mean-Field methods for Structured Deep-Learning in Computer Vision

Mirrored Langevin Dynamics

Interactive Generation of Calligraphic Trajectories from Gaussian Mixtures

Robust Biophysical Parameter Estimation with a Neural Network Enhanced Hamiltonian Markov Chain Monte Carlo Sampler