Subsampling is a computationally effective approach to extract information from massive data sets when computing resources are limited. After a subsample is taken from the full data, most available methods

# Subleading BMS Charges and The Lorentz Group. (arXiv:2011.06008v1 [hep-th])

The extended BMS group includes supertranslation, dual supertranslation and Lorentz transformations. The generators of these symmetries can be classified according to their parity into “electric” and “magnetic” types. Using a

# Extremal Eigenvalues Of The Conformal Laplacian Under Sire-Xu Normalization. (arXiv:2011.06018v1 [math.DG])

Let $(M^n,g)$ be a closed Riemannian manifold of dimension $n\ge 3$. We study the variational properties of the $k$-th eigenvalue functional $\tilde g\in[g] \mapsto \lambda_k(L_{\tilde g})$ under a non-volume normalization

# Gelfand-Tsetlin modules: canonicity and calculations. (arXiv:2011.06029v1 [math.RT])

In this paper, we give a more down-to-earth introduction to the connection between Gelfand-Tsetlin modules over $\mathfrak{gl}_n$ and diagrammatic KLRW algebras, and develop some of its consequences. In addition to

# Recovery of nonlinear terms for reaction diffusion equations from boundary measurements. (arXiv:2011.06039v1 [math.AP])

We consider the inverse problem of determining a general semilinear term appearing in nonlinear parabolic equations. For this purpose, we derive a new criterion that allows to prove global recovery

# Robust multi-stage model-based design of optimal experiments for nonlinear estimation. (arXiv:2011.06042v1 [stat.ME])

We study approaches to robust model-based design of experiments in the context of maximum-likelihood estimation. These approaches provide robustification of model-based methodologies for the design of optimal experiments by accounting

# Saturating stable matchings. (arXiv:2011.06046v1 [cs.GT])

A bipartite graph consists of two disjoint vertex sets, where vertices of one set can only be joined with an edge to vertices in the opposite set. Hall’s theorem gives

# Optimization under rare chance constraints. (arXiv:2011.06052v1 [math.OC])

Chance constraints provide a principled framework to mitigate the risk of high-impact extreme events by modifying the controllable properties of a system. The low probability and rare occurrence of such

# On Weakly Symmetric Pseudo-Riemannian Manifolds. (arXiv:2011.06054v1 [math.DG])

Weakly symmetric space theory is a natural generalization of the theory of Riemannian symmetric spaces. It includes a theory of weakly symmetric Riemannian nilmanifolds. Much of the recent progress there

# Tamarkin-Tsygan Calculus and Chiral Poisson Cohomology. (arXiv:2011.06055v1 [math.AG])

We construct and study some vertex theoretic invariants associated to Poisson varieties, specialising in the conformal weight $0$ case to the familiar package of Poisson homology and cohomology. In order