The Bregman method is an iterative algorithm to solve certain convex optimization problems involving regularization. The original version is due to Lev...

mathematics, specifically statistics and information geometry, a Bregman divergence or Bregman distance is a measure of difference between two points, defined...

inequality nor symmetry Bregman method, iterative algorithm to solve certain convex optimization problems Bing Sings Whilst Bregman Swings, Bing Crosby's...

primal dual method. Due in part to much research in compressed sensing in the mid-2000s, there are many algorithms, such as the split-Bregman method, that solve...

programming (see above) Bregman method — row-action method for strictly convex optimization problems Proximal gradient method — use splitting of objective...

known for his many contributions in shock capturing, level-set methods, and PDE-based methods in computer vision and image processing. Osher is a professor...

Regularized least squares (RLS) is a family of methods for solving the least-squares problem while using regularization to further constrain the resulting...

Gradient descent is a method for unconstrained mathematical optimization. It is a first-order iterative algorithm for minimizing a differentiable multivariate...

alternating-direction method of multipliers, alternating split Bregman are special instances of proximal algorithms. For the theory of proximal gradient methods from the...

Geschiedenis van de Mens) is a 2019 non-fiction book by Dutch historian Rutger Bregman. It was published by Bloomsbury in May 2021. It argues that people are...

called Bregman methods or row-action methods. These methods solve convex programming problems with linear constraints. They are iterative methods where...

The Bregman-Lagrangian framework permits a systematic understanding of the matching rates associated with higher-order gradient methods in discrete and...

Laurentiis purchased the rights from Maas. Agent Martin Bregman joined the film as co-producer. Bregman suggested Pacino for the main part, and John G. Avildsen...

University. Bregman is author of several textbooks and dozens of publications in international journals. Brègman, L. M. A relaxation method of finding...

been improved by extending its stress function using left Bregman divergence and right Bregman divergence. Prefrontal cortex basal ganglia working memory...

the log-evidence of the data. By the generalized Pythagorean theorem of Bregman divergence, of which KL-divergence is a special case, it can be shown that:...

specific divergences and classes of divergences, notably f-divergences and Bregman divergences (see § Examples). Given a differentiable manifold M {\displaystyle...

biographical crime drama film directed by Sidney Lumet and produced by Martin Bregman and Martin Elfand. The film stars Al Pacino, John Cazale, James Broderick...

Research methods in experimental psychology, Learning Theory, Auditory Perception, Psychological Theory, and honors research seminars. Many of Bregman's McGill...

Multiplicative weight update method Hedge algorithm Bregman divergence Arkadi Nemirovsky and David Yudin. Problem Complexity and Method Efficiency in Optimization...

components and can be solved through an iterative method. The Itakura-Saito distance is the Bregman divergence associated with the Gamma exponential family...

In discrete mathematics, the Bregman–Minc inequality, or Bregman's theorem, allows one to estimate the permanent of a binary matrix via its row or column...

approximation error with, for example, the Kullback–Leibler divergence, Bregman divergence, and the Hellinger distance. With indefinitely large samples...

New Play. Martin Bregman saw the play and became Pacino's manager, a partnership that became fruitful in the years to come, as Bregman encouraged Pacino...

Anthony Bregman, with whom he had just worked on a film that was made for Bregman's employer, Good Machine. The delay was fortuitous, as Bregman and Good...

James Steven Bregman (born November 17, 1941, in Arlington, Virginia) was a member of the first American team to compete in judo at the Summer Olympics...

Euclidean distance, which is minimized by the least squares method; this is the most basic Bregman divergence. The most important in information theory is...

the dissimilarity function can be arbitrary. One example is asymmetric Bregman divergence, for which the triangle inequality does not hold. The nearest...

no. 1, 1–46. Cai, Jian-Feng; Osher, Stanley; Shen, Zuowei, "Split Bregman methods and frame based image restoration". Multiscale Model. Simul. 8 (2009/10)...

8 April 2010. Bregman 2002, pp. 169–170: "In hindsight we can say that 1977 was a turning point ..." Bregman 2002, pp. 171–174. Bregman 2002, pp. 186–187...