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: "on the complexity of constrained determinantal point processes"
  Abstract: Determinantal Point Processes (DPPs) are probabilistic models that arise in quantum physics and random matrix theory and have recently found numerous applications in computer science. DPPs define distributions over subsets of a given ground set, they exhibit interesting properties such as negative correlation, and, unlike other models, have efficient algorithms for sampling. When applied to kernel methods in machine learning, DPPs favor subsets of the given data with more diverse features. However, many real-world applications require efficient algorithms to sample from DPPs with additional constraints on the subset, e.g., partition or matroid constraints that are important to ensure priors, resource or fairness constraints on the sampled subset. Whether one can efficiently sample from DPPs in such constrained settings is an important problem that was first raised in a survey of DPPs by \cite{KuleszaTaskar12} and studied in some recent works in the machine learning literature. #R##N#The main contribution of our paper is the first resolution of the complexity of sampling from DPPs with constraints. We give exact efficient algorithms for sampling from constrained DPPs when their description is in unary. Furthermore, we prove that when the constraints are specified in binary, this problem is #P-hard via a reduction from the problem of computing mixed discriminants implying that it may be unlikely that there is an FPRAS. Our results benefit from viewing the constrained sampling problem via the lens of polynomials. Consequently, we obtain a few algorithms of independent interest: 1) to count over the base polytope of regular matroids when there are additional (succinct) budget constraints and, 2) to evaluate and compute the mixed characteristic polynomials, that played a central role in the resolution of the Kadison-Singer problem, for certain special cases.

Connected through hyperedge HE-1 (induced by source paper "fair and diverse dpp based data summarization"):
  with members:
    - "semantics derived automatically from language corpora contain human like biases"
    - "measuring fairness in ranked outputs"
    - "efficient sampling for k determinantal point processes"
    - "learning mixtures of submodular shells with application to document summarization"
    - "fairness through awareness"

Connected through hyperedge HE-2 (induced by source paper "stability and complexity of mixed discriminants"):
  with members:
    - "a generalization of permanent inequalities and applications in counting and optimization"
    - "an efficient tree decomposition method for permanents and mixed discriminants"

Connected through hyperedge HE-3 (induced by source paper "maximum entropy distributions bit complexity and stability"):
  with members:
    - "fair and diverse dpp based data summarization"
    - "a generalization of permanent inequalities and applications in counting and optimization"
    - "much faster algorithms for matrix scaling"
    - "matrix scaling and balancing via box constrained newton s method and interior point methods"
    - "algorithmic and optimization aspects of brascamp lieb inequalities via operator scaling"
    - "real stable polynomials and matroids optimization and counting"
    - "entropy optimization and counting"

Connected through hyperedge HE-4 (induced by source paper "subdeterminant maximization via nonconvex relaxations and anti concentration"):
  with members:
    - "a generalization of permanent inequalities and applications in counting and optimization"
    - "how to be fair and diverse"
    - "real stable polynomials and matroids optimization and counting"
    - "analysis of boolean functions"
    - "on largest volume simplices and sub determinants"
    - "randomized rounding for the largest simplex problem"
    - "a robust khintchine inequality and algorithms for computing optimal constants in fourier analysis and high dimensional geometry"

Connected through hyperedge HE-5 (induced by source paper "ranking with fairness constraints"):
  with members:
    - "fair and diverse dpp based data summarization"
    - "multiwinner voting with fairness constraints"
    - "sequential voting promotes collective discovery in social recommendation systems"
    - "inherent trade offs in the fair determination of risk scores"
    - "man is to computer programmer as woman is to homemaker debiasing word embeddings"
    - "fairness through awareness"

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.DS(Data Structures and Algorithms)