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 "network revenue management with limited switches known and unknown demand distributions"):
  Abstract: Our work is motivated by a common business constraint in the retail industry. While retailers respect the advantages of dynamic pricing and price experimentation, they must limit the number of price changes (i.e., switches) to be within some range due to various practical reasons.#R##N##R##N#We study the classical price-based network revenue management problem, where a retailer has finite initial inventory of multiple resources to sell over a finite time horizon. We consider both known and unknown demand distribution settings, and derive policies with limited switches that achieve the best-possible asymptotic performance in both settings. Our results suggest an intrinsic difference between the expected revenue associated with how many switches are allowed: in the distributionally-known setting, a resource-dependent amount of switching budget proves to be a sharp threshold for achieving sublinear revenue loss; and in the distributionally-unknown setting, a resource-dependent piecewise-constant function of the switching budget proves to completely characterize the optimal regret rate.#R##N##R##N#To the best of our knowledge, our results are the first to exhibit a separation in regret rates between online learning problems with different number of inventory constraints. Practically, retailers may benefit from our study in designing their budgets of price switches.

Includes members:
  Member "the bayesian prophet a low regret framework for online decision making":
    also connected through other hyperedges:
      (none)
  Member "phase transitions and cyclic phenomena in bandits with switching constraints":
    also connected through other hyperedges:
      (none)
  Member "dynamic pricing under a static calendar":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "assortment auctions a myersonian characterization for markov chain based choice models")
  Member "bandits with knapsacks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "exploration exploitation in constrained mdps")

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.LG(Machine Learning)