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: "minimization problems based on relative alpha entropy ii reverse projection"
  Abstract: In part I of this two-part work, certain minimization problems based on a parametric family of relative entropies (denoted $\mathscr{I}_{\alpha}$) were studied. Such minimizers were called forward $\mathscr{I}_{\alpha}$-projections. Here, a complementary class of minimization problems leading to the so-called reverse $\mathscr{I}_{\alpha}$-projections are studied. Reverse $\mathscr{I}_{\alpha}$-projections, particularly on log-convex or power-law families, are of interest in robust estimation problems ($\alpha >1$) and in constrained compression settings ($\alpha <1$). Orthogonality of the power-law family with an associated linear family is first established and is then exploited to turn a reverse $\mathscr{I}_{\alpha}$-projection into a forward $\mathscr{I}_{\alpha}$-projection. The transformed problem is a simpler quasiconvex minimization subject to linear constraints.

Connected through hyperedge HE-1 (induced by source paper "generalized bayesian cramer rao inequality via information geometry of relative alpha entropy"):
  with members:
    - "cramer rao lower bounds arising from generalized csiszar divergences"
    - "information geometric approach to bayesian lower error bounds"
    - "performance of time delay estimation in a cognitive radar"
    - "minimization problems based on relative alpha entropy i forward projection"
    - "guessing under source uncertainty"

Connected through hyperedge HE-2 (induced by source paper "cramer rao lower bounds arising from generalized csiszar divergences"):
  with members:
    - "information geometric approach to bayesian lower error bounds"
    - "minimization problems based on relative alpha entropy i forward projection"
    - "guessing under source uncertainty"

Connected through hyperedge HE-3 (induced by source paper "the renyi capacity and center"):
  with members:
    - "a strong converse bound for multiple hypothesis testing with applications to high dimensional estimation"
    - "the sphere packing bound for memoryless channels"
    - "operational interpretation of renyi information measures via composite hypothesis testing against product and markov distributions"
    - "the sphere packing bound for dspcs with feedback a la augustin"
    - "the augustin capacity and center"
    - "the augustin center and the sphere packing bound for memoryless channels"
    - "analysis of remaining uncertainties and exponents under various conditional r e nyi entropies"
    - "on renyi entropy power inequalities"

Connected through hyperedge HE-4 (induced by source paper "a unified framework for problems on guessing source coding and task partitioning"):
  with members:
    - "encoding tasks and renyi entropy"
    - "guessing under source uncertainty"

Connected through hyperedge HE-5 (induced by source paper "projection theorems of divergences and likelihood maximization methods"):
  with members:
    - "encoding tasks and renyi entropy"
    - "minimization problems based on relative alpha entropy i forward projection"
    - "guessing under source uncertainty"

Connected through hyperedge HE-6 (induced by source paper "two measures of dependence"):
  with members:
    - "operational interpretation of renyi information measures via composite hypothesis testing against product and markov distributions"
    - "distributed task encoding"
    - "dependence measures bounding the exploration bias for general measurements"
    - "f divergence inequalities"
    - "encoding tasks and renyi entropy"
    - "minimization problems based on relative alpha entropy i forward projection"
    - "renyi divergence and kullback leibler divergence"
    - "guessing under source uncertainty"

Connected through hyperedge HE-7 (induced by source paper "minimization problems based on relative alpha entropy i forward projection"):
  with members:
    - "relative alpha entropy minimizers subject to linear statistical constraints"
    - "encoding tasks and renyi entropy"
    - "renyi divergence and kullback leibler divergence"
    - "minimization problems based on a parametric family of relative entropies ii reverse projection"
    - "further results on geometric properties of a family of relative entropies"
    - "guessing revisited a large deviations approach"
    - "guessing under source uncertainty"

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)