The following pages link to The Tien Mai (Q110581):
Displaying 11 items.
- Pierre Alquier (Q110586) (← links)
- Numerical comparisons between Bayesian and frequentist low-rank matrix completion: estimation accuracy and uncertainty quantification (Q123602) (← links)
- (Q511673) (redirect page) (← links)
- Pseudo-Bayesian quantum tomography with rank-adaptation (Q511674) (← links)
- A Bayesian approach for noisy matrix completion: optimal rate under general sampling distribution (Q2340879) (← links)
- A reduced-rank approach to predicting multiple binary responses through machine learning (Q6089192) (← links)
- An efficient adaptive MCMC algorithm for pseudo-Bayesian quantum tomography (Q6177006) (← links)
- On a low-rank matrix single index model (Q6414151) (← links)
- On high-dimensional classification by sparse generalized Bayesian logistic regression (Q6526731) (← links)
- On properties of fractional posterior in generalized reduced-rank regression (Q6532314) (← links)
- High-dimensional sparse classification using exponential weighting with empirical hinge loss (Q6668598) (← links)
