Let f ℳ→ℝ be a Lipschitz and geodesically
convex function defined on a d...
We study the query complexity of geodesically convex (g-convex) optimiza...
We develop new tools to study the landscapes of nonconvex optimization
p...
Hamilton and Moitra (2021) showed that, in certain regimes, it is not
po...
We consider the problem of provably finding a stationary point of a smoo...
We propose a method to reconstruct the 3-D molecular structure from
micr...
Quasi-Newton techniques approximate the Newton step by estimating the He...
We describe the first gradient methods on Riemannian manifolds to achiev...
We consider the problem of estimating a cloud of points from numerous no...
Smooth, non-convex optimization problems on Riemannian manifolds occur i...
Motivated by the structure reconstruction problem in cryo-electron
micro...
We consider the multi-target detection problem of recovering a set of si...
Single-particle cryo-electron microscopy (cryo-EM) has recently joined X...
We consider semidefinite programs (SDPs) of size n with equality constra...
Semidefinite programs (SDP) are important in learning and combinatorial
...
Single-Particle Reconstruction (SPR) in Cryo-Electron Microscopy (cryo-E...
We propose a new algorithm to solve optimization problems of the form
f...
Optimization on manifolds is a rapidly developing branch of nonlinear
op...