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Optimality and neural codes: Bayesian inference meets Barlow's efficient coding hypothesis
Presenter
- Jonathan Pillow
May 6, 2013
MBI
Nonparametric priors for analyzing censored data and data from repair models
Presenter
- Jayaram Sethuraman
September 20, 2012
ICERM
Nonparametric priors for exchangeable graphs and arrays
Presenter
- Peter Orbanz
September 19, 2012
ICERM
Guang Lin - Scalable algorithms for Bayesian deep learning via stochastic gradient Monte Carlo
Presenter
- Guang Lin
July 16, 2025
IPAM
A (somewhat) gentle introduction to Bayesian optimization for materials
Presenter
- Sterling G.
April 23, 2025
IMSI
On feasible set estimation with Bayesian active learning
Presenter
- Cl\u00e9mentine Prieur
March 31, 2025
IMSI
Rate-Distortion Theoretical Views of Bayesian Learning Coefficients
Presenter
- Kazuho Watanabe
December 11, 2023
IMSI
Modeling Tumor Microenvironments with Zero-Inflated Bayesian Consensus Tensor Factorization
Presenter
- Neriman Tokcan
October 12, 2023
IMSI
Data-Driven Mechanistic Models -- Design and Inference
Presenter
- Babak Shahbaba
April 24, 2020
ICERM
Output-weighted optimal sampling for Bayesian regression and rare event statistics using few samples
Presenter
- Themistoklis Sapsis
April 23, 2020
ICERM
Transport and Multilevel Approaches for Large-Scale PDE-Constrained Bayesian Inference
Presenter
- Robert Scheichl
April 23, 2020
ICERM