Concept
Unconditional convergence
Related publications (4)
Convergence without Convexity: Sampling, Optimization, and Games
Many important problems in contemporary machine learning involve solving highly non- convex problems in sampling, optimization, or games. The absence of convexity poses significant challenges to convergence analysis of most training algorithms, and in some ...
EPFL2020Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization
Generalized linear models, where a random vector x is observed through a noisy, possibly nonlinear, function of a linear transform z = A x, arise in a range of applications in nonlinear filtering and regression. Approximate message passing (AMP) methods, b ...
IEEE2017Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization
Generalized Linear Models (GLMs), where a random vector x is observed through a noisy, possibly nonlinear, function of a linear transform z = A x arise in a range of applications in nonlinear filtering and regression. Approximate Message Passing (AMP) meth ...
IEEE2015Multistable randomly switching oscillators: The odds of meeting a ghost
We consider oscillators whose parameters randomly switch between two values at equal time intervals. If random switching is fast compared to the oscillator's intrinsic time scale, one expects the switching system to follow the averaged system, obtained by ...
Springer Verlag2013