Luis Espath
- Approximating Hessian matrices using Bayesian inference: a new approach for quasi-Newton methods in stochastic optimization
2022/07/31 by André Gustavo Carlon, Luis Espath, Carlon, Andre +3 · 3 citations
Mathematics · Computer Science · #Statistical and numerical algorithms #Advanced Optimization Algorithms Research #Gaussian Processes and Bayesian Inference
- Deep NURBS -- Admissible Physics-informed Neural Networks
2022/10/25 by Hamed Ben Mohamed Saidaoui, Luis Espath, Saidaoui, Hamed +3 · 1 citation
Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
- Double-loop randomized quasi-Monte Carlo estimator for nested integration
2023/02/27 by Arved Bartuska, Bartuska, Arved, André Gustavo Carlon +7 · 1 citation
Economics, Econometrics and Finance · Mathematics · #FOS: Mathematics #Mathematical Approximation and Integration #Numerical Analysis (math.NA) #Statistical Methods and Inference #Stochastic processes and financial applications