human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "guaranteed bounds on information theoretic measures of univariate mixtures using piecewise log sum exp inequalities"
  Abstract: Information-theoretic measures, such as the entropy, the cross-entropy and the Kullback–Leibler divergence between two mixture models, are core primitives in many signal processing tasks. Since the Kullback–Leibler divergence of mixtures provably does not admit a closed-form formula, it is in practice either estimated using costly Monte Carlo stochastic integration, approximated or bounded using various techniques. We present a fast and generic method that builds algorithmically closed-form lower and upper bounds on the entropy, the cross-entropy, the Kullback–Leibler and the α-divergences of mixtures. We illustrate the versatile method by reporting our experiments for approximating the Kullback–Leibler and the α-divergences between univariate exponential mixtures, Gaussian mixtures, Rayleigh mixtures and Gamma mixtures.

Connected through hyperedge HE-1 (induced by source paper "a generalization of the α divergences based on comparable and distinct weighted means"):
  with members:
    - "on conformal divergences and their population minimizers"
    - "the burbea rao and bhattacharyya centroids"

Connected through hyperedge HE-2 (induced by source paper "on the jensen shannon symmetrization of distances relying on abstract means"):
  with members:
    - "on power chi expansions of f divergences"
    - "an elementary introduction to information geometry"
    - "monte carlo information geometry the dually flat case"
    - "optimal interval clustering application to bregman clustering and statistical mixture learning"
    - "on the chi square and higher order chi distances for approximating f divergences"
    - "generalized bhattacharyya and chernoff upper bounds on bayes error using quasi arithmetic means"
    - "bootstrap methods for the empirical study of decision making and information flows in social systems"
    - "jeffreys centroids a closed form expression for positive histograms and a guaranteed tight approximation for frequency histograms"

Connected through hyperedge HE-3 (induced by source paper "developing an app to interpret chest x rays to support the diagnosis of respiratory pathology with artificial intelligence"):
  with members:
    - "chestx ray8 hospital scale chest x ray database and benchmarks on weakly supervised classification and localization of common thorax diseases"
    - "cyclical learning rates for training neural networks"
    - "adam a method for stochastic optimization"

Connected through hyperedge HE-4 (induced by source paper "on power chi expansions of f divergences"):
  with members:
    - "on the chi square and higher order chi distances for approximating f divergences"
    - "statistical exponential families a digest with flash cards"

Connected through hyperedge HE-5 (induced by source paper "on the chain rule optimal transport distance"):
  with members:
    - "guaranteed deterministic bounds on the total variation distance between univariate mixtures"
    - "monte carlo information geometry the dually flat case"
    - "on w mixtures finite convex combinations of prescribed component distributions"
    - "fashion mnist a novel image dataset for benchmarking machine learning algorithms"
    - "on the chi square and higher order chi distances for approximating f divergences"
    - "generalized bhattacharyya and chernoff upper bounds on bayes error using quasi arithmetic means"
    - "a closed form expression for the sharma mittal entropy of exponential families"
    - "on renyi and tsallis entropies and divergences for exponential families"

Connected through hyperedge HE-6 (induced by source paper "an elementary introduction to information geometry"):
  with members:
    - "on holder projective divergences"
    - "on the chi square and higher order chi distances for approximating f divergences"
    - "on conformal divergences and their population minimizers"
    - "cramer rao lower bound and information geometry"
    - "the burbea rao and bhattacharyya centroids"
    - "statistical exponential families a digest with flash cards"
    - "hyperbolic voronoi diagrams made easy"

Connected through hyperedge HE-7 (induced by source paper "guaranteed deterministic bounds on the total variation distance between univariate mixtures"):
  with members:
    - "f divergence inequalities"
    - "on reverse pinsker inequalities"
    - "on the chi square and higher order chi distances for approximating f divergences"
    - "generalized bhattacharyya and chernoff upper bounds on bayes error using quasi arithmetic means"
    - "generalised pinsker inequalities"
    - "statistical exponential families a digest with flash cards"

Connected through hyperedge HE-8 (induced by source paper "monte carlo information geometry the dually flat case"):
  with members:
    - "on w mixtures finite convex combinations of prescribed component distributions"
    - "fast exact k means k medians and bregman divergence clustering in 1d"
    - "optimal interval clustering application to bregman clustering and statistical mixture learning"
    - "the burbea rao and bhattacharyya centroids"
    - "a family of statistical symmetric divergences based on jensen s inequality"
    - "statistical exponential families a digest with flash cards"

Question: Please tell me which class the center node 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.LG(Machine Learning)