human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "rigorous guarantees for tyler s m estimator via quantum expansion"):
  Abstract: Estimating the shape of an elliptical distribution is a fundamental problem in statistics. One estimator for the shape matrix, Tyler's M-estimator, has been shown to have many appealing asymptotic properties. It performs well in numerical experiments and can be quickly computed in practice by a simple iterative procedure. Despite the many years the estimator has been studied in the statistics community, there was neither a non-asymptotic bound on the rate of the estimator nor a proof that the iterative procedure converges in polynomially many steps. #R##N#Here we observe a surprising connection between Tyler's M-estimator and operator scaling, which has been intensively studied in recent years in part because of its connections to the Brascamp-Lieb inequality in analysis. We use this connection, together with novel results on quantum expanders, to show that Tyler's M-estimator has the optimal rate up to factors logarithmic in the dimension, and that in the generative model the iterative procedure has a linear convergence rate even without regularization.

Includes members:
  Member "spectral analysis of matrix scaling and operator scaling":
    also connected through other hyperedges:
      (none)
  Member "operator scaling via geodesically convex optimization invariant theory and polynomial identity testing":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "general linear group action on tensors a candidate for post quantum cryptography")
  Member "efficient algorithms for tensor scaling quantum marginals and moment polytopes":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "general linear group action on tensors a candidate for post quantum cryptography")
  Member "alternating minimization scaling algorithms and the null cone problem from invariant theory":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "general linear group action on tensors a candidate for post quantum cryptography")
  Member "maximum entropy distributions bit complexity and stability":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "fair distributions from biased samples a maximum entropy optimization framework")
  Member "computing maximum entropy distributions everywhere":
    also connected through other hyperedges:
      (none)
  Member "algorithmic and optimization aspects of brascamp lieb inequalities via operator scaling":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "from independent sets and vertex colorings to isotropic spaces and isotropic decompositions")
  Member "operator scaling theory and applications":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "spectral analysis of matrix scaling and operator scaling")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.DS(Data Structures and Algorithms)