site stats

Lower bounds for finding stationary points

WebDec 7, 2024 · In this paper, we conduct a systematic study of quantum query lower bounds on finding ϵ-approximate stationary points of nonconvex functions, and we consider the following two important settings: 1) having access to p-th order derivatives; or 2) having access to stochastic gradients. WebAug 12, 2024 · As a general approach you could try to find a minimum point. y = ln ( 1 − 0.5 u). Differentiating, y ′ = log ( 2) 0.5 u 1 − u 0.5. To find stationary points, set equal to zero …

Federal Register :: National Emission Standards for Hazardous Air ...

Webdeterministic pth-order methods achieve the upper bounds, and the lower bounds apply to all randomized … WebLower Bounds for Finding Stationary Points II: First-Order Methods. Yair Carmon, John Duchi, Oliver Hinder and Aaron Sidford. Mathematical programming, 2024. See a summary of both lower bounds in our Neurips workshop paper. Interior point methods for problems with nonconvex constraints the guns of navarone 1961 film https://eurekaferramenta.com

Lower Bounds for Finding Stationary Points II: First-Order …

WebFeb 10, 2024 · Surprisingly, even for this seemingly restricted class, finding an ϵ-stationary point, i.e., a point ¯ x for which d (0, ∂ f (¯ x)) ≤ ϵ, is intractable. In other words, no algorithm can guarantee to find an ϵ-stationary point within a finite number of iterations. This intractability suggests that, to obtain meaningful non-asymptotic ... WebHowever, the low-dimensional complexity of computing stationary points remains open. Indeed, the main limitation ofCarmon et al.(2024) is that their lower bound constructions require the ambient dimension to be large: more precisely, they require d (1="2) for deterministic algorithms, and d (1e ="4) for randomized algorithms. The large ... WebDec 5, 2024 · We lower bound the complexity of finding ϵ-stationary points (with gradient norm at most ϵ) using stochastic first-order methods. In a well-studied model where algorithms access smooth, potentially non-convex functions through queries to an unbiased stochastic gradient oracle with bounded variance, we prove that (in the worst case) any … the barn antiques balsall common

Lower Bounds for Finding Stationary Points II: First-Order Methods

Category:Complexity Lower Bounds for Nonconvex-Strongly-Concave Min …

Tags:Lower bounds for finding stationary points

Lower bounds for finding stationary points

Find lower bound of function - Mathematics Stack Exchange

WebNov 2, 2024 · Lower Bounds for Finding Stationary Points II: First-Order Methods Yair Carmon, John C. Duchi, Oliver Hinder, Aaron Sidford We establish lower bounds on the … http://opt-ml.org/papers/OPT2024_paper_50.pdf

Lower bounds for finding stationary points

Did you know?

WebAbstract. We provide a first-order oracle complexity lower bound for finding stationary points of min-max optimization problems where the objective function is smooth, nonconvex in the minimization variable, and strongly concave in the maximization variable. We establish a lower bound of Ω(√κϵ−2) Ω ( κ ϵ − 2) for deterministic ... WebAug 12, 2024 · y ′ = log ( 2) 0.5 u 1 − u 0.5. To find stationary points, set equal to zero to obtain 0.5 u = 0, which has no solutions, so there are no stationary points. Hence, no minimum and so no lower bound. Share Cite Follow edited Aug 12, 2024 at 8:50 answered Aug 12, 2024 at 8:43 pathfinder 10.2k 5 45 77

WebLess is known about lower bounds for finding stationary points for f:Rd →R. Nesterov [39] proposes lower bounds for finding stationary points under a box constraint, but his … WebWe prove lower bounds on the complexity of finding ϵ -stationary points (points x such that ‖ ∇ f ( x) ‖ ≤ ϵ) of smooth, high-dimensional, and potentially non-convex functions f. We …

WebSpecifically, finding 𝜀-stationary point in 0,12, is reduced to finding a local minima on the discrete 1𝜀×1𝜀 grid. Dimension 2 – Random Algorithms Sun and Yao (06’) gave a Ω∗𝑛 lower bound for finding local minima in 𝑛×𝑛, which applies to random algorithms. WebThe key technique is to construct a function such that any noiseless oracle query reveals the index of at most a single “relevant” coordinate; the lower bound follows from the fact that any \epsilon -stationary point is non-zero in \Omega (L \Delta \epsilon ^ …

WebNov 2, 2024 · Lower Bounds for Finding Stationary Points II: First-Order Methods Authors: Yair Carmon John C. Duchi Oliver Hinder Aaron Sidford Abstract We establish lower …

WebLess is known about lower bounds for finding stationary points for f:Rd →R. Nesterov [39] proposes lower bounds for finding stationary points under a box constraint, but his construction does not extend to the unconstrained case when f(x(0)) −infx f(x) is bounded. Vavasis [44] considers the complexity of finding the guns of navarone alistair macleanWebJan 1, 2024 · We establish lower bounds on the complexity of finding ϵ-stationary points of smooth, non-convex high-dimensional functions using first-order methods. We prove that … the barn animal rescueWebApr 14, 2024 · In order to find the lowest loss point, we swept the reference at 1 nm spacing around the waveguide width of 1.3 μm and 2.7 μm. The two insets in the figure are zoomed in on the vicinity of the two BIC points in order to more clearly observe the trend of change near the two BIC points. the bar nano