Statistical Regularization of Inverse Problems. - Luis Tenorio (SIAM Rev., 2001)

Front Range Aggregates Optimizes Feeder Movements at Its Quarry. - Peter McKenzie; Alexandra M. Newman; Luis Tenorio (Interfaces, 2008)

Numerical methods for A-optimal designs with a sparsity constraint for ill-posed inverse problems. - Eldad Haber; Zhuojun Magnant; Christian Lucero; Luis Tenorio (Comput. Optim. Appl., 2012)

Derivation of the Maximum a Posterori Estimate for Discrete Time Descriptor Systems - Ali Al-Matouq; Tyrone Vincent; Luis Tenorio (CoRR, 2012)

Reduced complexity dynamic programming solution for Kalman filtering of linear discrete time descriptor systems. - Ali Al-Matouq; Tyrone L. Vincent; Luis Tenorio (ACC, 2013)

Efficient Learning of Practical Markov Random Fields with Exact Inference. - Yariv Dror Mizrahi; Nando de Freitas; Luis Tenorio (CoRR, 2013)

On the estimability of the PV single-diode model parameters. - Brian R. Zaharatos; Mark Campanelli; Luis Tenorio (Stat. Anal. Data Min., 2015)

Statistics of Parameter Estimates: A Concrete Example. - Oscar Aguilar; Moritz Allmaras; Wolfgang Bangerth; Luis Tenorio (SIAM Rev., 2015)

Optimal Low-rank Approximations of Bayesian Linear Inverse Problems. - Alessio Spantini; Antti Solonen; Tiangang Cui; James Martin; Luis Tenorio; Youssef M. Marzouk (SIAM J. Sci. Comput., 2015)

Stochastic Newton and Quasi-Newton Methods for Large Linear Least-squares Problems. - Julianne Chung; Matthias Chung; J. Tanner Slagel; Luis Tenorio (CoRR, 2017)

Goal-Oriented Optimal Approximations of Bayesian Linear Inverse Problems. - Alessio Spantini; Tiangang Cui; Karen Willcox; Luis Tenorio; Youssef M. Marzouk (SIAM J. Sci. Comput., 2017)

Sampled Limited Memory Methods for Massive Linear Inverse Problems. - Julianne Chung; Matthias Chung; J. Tanner Slagel; Luis Tenorio (CoRR, 2019)

A stochastic subspace approach to gradient-free optimization in high dimensions. - David Kozak; Stephen Becker; Alireza Doostan; Luis Tenorio (Comput. Optim. Appl., 2021)

Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the JKO Scheme. - Alexander Vidal; Samy Wu Fung; Luis Tenorio; Stanley J. Osher; Levon Nurbekyan (CoRR, 2022)

Zeroth-order optimization with orthogonal random directions. - David Kozak; Cesare Molinari; Lorenzo Rosasco; Luis Tenorio; Silvia Villa (Math. Program., 2023)

Estimating a Potential Without the Agony of the Partition Function. - Eldad Haber; Moshe Eliasof; Luis Tenorio (SIAM J. Math. Data Sci., 2023)