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: "universal coding on infinite alphabets exponentially decreasing envelopes"
  Abstract: This paper deals with the problem of universal lossless coding on a countable infinite alphabet. It focuses on some classes of sources defined by an envelope condition on the marginal distribution, namely exponentially decreasing envelope classes with exponent . The minimax redundancy of exponentially decreasing envelope classes is proved to be equivalent to . Then, an adaptive algorithm is proposed, whose maximum redundancy is equivalent to the minimax redundancy.

Connected through hyperedge HE-1 (induced by source paper "pattern coding meets censoring almost adaptive coding on countable alphabets"):
  with members:
    - "minimax estimation of functionals of discrete distributions"
    - "universal compression of envelope classes tight characterization via poisson sampling"
    - "bounded expected delay in arithmetic coding"

Connected through hyperedge HE-2 (induced by source paper "universal compression of envelope classes tight characterization via poisson sampling"):
  with members:
    - "about adaptive coding on countable alphabets max stable envelope classes"
    - "on redundancy of memoryless sources over countable alphabets"
    - "universal source coding for monotonic and fast decaying monotonic distributions"

Connected through hyperedge HE-3 (induced by source paper "large alphabet compression and predictive distributions through poissonization and tilting"):
  with members:
    - "horizon independent optimal prediction with log loss in exponential families"

Connected through hyperedge HE-4 (induced by source paper "some properties of renyi entropy over countably infinite alphabets"):
  with members:
    - "r enyi divergence and majorization"

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.IT(Information Theory)