A multicut outer-approximation approach for competitive facility location under random utilities von Mai, Tien, Lodi, Andrea

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Undiscounted Recursive Path Choice Models: Convergence Properties and Algorithms von Mai, Tien, Frejinger, Emma

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Robust maximum capture facility location under random utility maximization models von Dam, Tien Thanh, Ta, Thuy Anh, Mai, Tien

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A method of integrating correlation structures for a generalized recursive route choice model von Mai, Tien

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Bike route choice modeling using GPS data without choice sets of paths von Zimmermann, Maëlle, Mai, Tien, Frejinger, Emma

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Induction of Nrf2 and xCT are involved in the action of the neuroprotective antibiotic ceftriaxone in vitro von Lewerenz, Jan, Albrecht, Philipp, Tien, Mai-Ly Tran, Henke, Nadine, Karumbayaram, Saravanan, Kornblum, Harley I, Wiedau-Pazos, Martina, Schubert, Dave, Maher, Pamela, Methner, Axel

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Routing policy choice prediction in a stochastic network: Recursive model and solution algorithm von Mai, Tien, Yu, Xinlian, Gao, Song, Frejinger, Emma

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Joint chance-constrained staffing optimization in multi-skill call centers von Dam, Tien Thanh, Ta, Thuy Anh, Mai, Tien

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High‐dimensional sparse classification using exponential weighting with empirical hinge loss von Mai, The Tien

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Improved Prediction of Bacterial Genotype-Phenotype Associations Using Interpretable Pangenome-Spanning Regressions von Lees, John A, Mai, T Tien, Galardini, Marco, Wheeler, Nicole E, Horsfield, Samuel T, Parkhill, Julian, Corander, Jukka

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From Bilinear Regression to Inductive Matrix Completion: A Quasi-Bayesian Analysis von Mai, The Tien

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On a multistage discrete stochastic optimization problem with stochastic constraints and nested sampling von Ta, Thuy Anh, Mai, Tien, Bastin, Fabian, L’Ecuyer, Pierre

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Misclassification Excess Risk Bounds for 1‐Bit Matrix Completion von Tien Mai, The

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A decomposition method for estimating recursive logit based route choice models von Mai, Tien, Bastin, Fabian, Frejinger, Emma

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Boosting heritability: estimating the genetic component of phenotypic variation with multiple sample splitting von Mai, The Tien, Turner, Paul, Corander, Jukka

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Pseudo-Bayesian quantum tomography with rank-adaptation von Mai, The Tien, Alquier, Pierre

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On a Low-Rank Matrix Single-Index Model von Mai, The Tien

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Reliable Genetic Correlation Estimation via Multiple Sample Splitting and Smoothing von Mai, The Tien

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A reduced-rank approach to predicting multiple binary responses through machine learning von Mai, The Tien

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Inferring the heritability of bacterial traits in the era of machine learning von Mai, T Tien, Lees, John A, Gladstone, Rebecca A, Corander, Jukka

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