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2020 – today
- 2024
[i7]The Tien Mai:
Concentration properties of fractional posterior in 1-bit matrix completion. CoRR abs/2404.08969 (2024)- [i6]The Tien Mai:
Misclassification excess risk bounds for PAC-Bayesian classification via convexified loss. CoRR abs/2408.08675 (2024) - 2023
- [j4]The Tien Mai
:
An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography. Comput. Stat. 38(2): 827-843 (2023) - [j3]The Tien Mai:
From Bilinear Regression to Inductive Matrix Completion: A Quasi-Bayesian Analysis. Entropy 25(2): 333 (2023) - [j2]The Tien Mai:
A reduced-rank approach to predicting multiple binary responses through machine learning. Stat. Comput. 33(6): 136 (2023) - [i5]The Tien Mai:
Misclassification excess risk bounds for 1-bit matrix completion. CoRR abs/2312.12945 (2023) - 2022
- [c3]The Tien Mai:
On Regret Bounds for Continual Single-Index Learning. SAI (1) 2022: 545-559 - 2021
- [j1]The Tien Mai, Paul Turner, Jukka Corander:
Boosting heritability: estimating the genetic component of phenotypic variation with multiple sample splitting. BMC Bioinform. 22(1): 164 (2021) - [i4]The Tien Mai:
On continual single index learning. CoRR abs/2102.12961 (2021) - [i3]The Tien Mai:
Numerical comparisons between Bayesian and frequentist low-rank matrix completion: estimation accuracy and uncertainty quantification. CoRR abs/2103.11749 (2021) - [i2]The Tien Mai:
Bayesian matrix completion with a spectral scaled Student prior: theoretical guarantee and efficient sampling. CoRR abs/2104.08191 (2021)
2010 – 2019
- 2019
- [c2]The Tien Mai, Leiv Rønneberg, Zhi Zhao, Manuela Zucknick, Jukka Corander:
Learning Cancer Drug Sensitivities in Large-Scale Screens from Multi-omics Data with Local Low-Rank Structure. CIBB 2019: 67-79 - 2017
- [c1]Pierre Alquier, The Tien Mai, Massimiliano Pontil:
Regret Bounds for Lifelong Learning. AISTATS 2017: 261-269 - 2016
- [i1]Pierre Alquier, The Tien Mai, Massimiliano Pontil:
Regret Bounds for Lifelong Learning. CoRR abs/1610.08628 (2016)
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