In: Entropy, 2021, vol. 23, no. 1, p. 27 p
Recent advances in statistical inference have significantly expanded the toolbox of probabilistic modeling. Historically, probabilistic modeling has been constrained to very restricted model classes, where exact or approximate probabilistic inference is feasible. However, developments in variational inference, a general form of approximate probabilistic inference that originated in statistical...
|
In: Foundations of Physics, 2015, vol. 45, no. 5, p. 471-482
|
In: Probability Theory and Related Fields, 2015, vol. 163, no. 1-2, p. 89-121
|
In: Environmental and Ecological Statistics, 2015, vol. 22, no. 3, p. 513-534
|
Thèse de doctorat : Università della Svizzera italiana, 2020 ; 2020INFO024.
Understanding the performance of software is complicated. For several performance metrics, in addition to the algorithmic complexity, one must also consider the dynamics of running a program within different combinations of hardware and software environments. Such dynamical aspects are not visible from the code alone, and any kind of static analysis falls short. For example, in reality, the...
|
Thèse de doctorat : Università della Svizzera italiana, 2019 ; 2019INFO007.
Linear barycentric rational interpolants are a particular kind of rational interpolants, defined by weights that are independent of the function f. Such interpolants have recently proved to be a viable alternative to more classical interpolation methods, such as global polynomial interpolants and splines, especially in the equispaced setting. Other kinds of interpolants might indeed suffer...
|
In: Journal of Fourier Analysis and Applications, 2014, vol. 20, no. 6, p. 1179-1211
|
In: Mathematical Programming, 2014, vol. 146, no. 1-2, p. 525-554
|
In: Designs, Codes and Cryptography, 2013, vol. 69, no. 1, p. 95-106
|
In: Cognitive Computation, 2009, vol. 1, no. 2, p. 177-193
|