A Compressed Sensing Approach for Distribution Matching

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A Compressed Sensing Approach for Distribution Matching

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HIERARCHICAL MARKOV CHAIN MONTE CARLO METHODS FOR BAYESIAN INVERSE PROBLEMS

Planted XY model: Thermodynamics and inference

Learning Self-Exciting Temporal Point Processes Under Noisy Observations

A Variational Inference Approach to Learning Multivariate Wold Processes

Bayesian Decision Making in Groups is Hard

Adaptive Path Interpolation Method for Sparse Systems: Application to a Censored Block Model

Statistical limits of high-dimensional inference problems

Bayesian Methods for the Identification of Distribution Networks

Learning in Volatile Environments With the Bayes Factor Surprise