Program for stream Advances in Stochastic Modelling and Learning Methods

MB-40: Advances in Stochastic Modelling and Applied Probability Ι
Stream: Advances in Stochastic Modelling and Learning Methods
Room: 96 (building: 306)
Chair(s): Ioannis Dimitriou, Tuan Phung-Duc

• A discrete choice model for multi-product pricing based on the Markov Chain Choice Model combined with reservation prices
  Ivo Adan, Laura Sprenkels, Zumbul Atan
• Call center data analysis and model validation
  Ger Koole, Siqiao Li, Sihan Ding
• Analysis of Waiting Times in a Novel Two-Class Queueing Model Motivated by Road Traffic
  Joris Walraevens, Sara Sasaninejad, Sabine Wittevrongel
• On dual risk models with dependence structure
  Ioannis Dimitriou

MC-40: Advances in Stochastic Modelling and Applied Probability II
Stream: Advances in Stochastic Modelling and Learning Methods
Room: 96 (building: 306)
Chair(s): Ioannis Dimitriou, Tuan Phung-Duc

• Fair and efficient sharing: dynamic pricing control in batch service system with strategic customers
  Ayane Nakamura, Tuan Phung-Duc
• Data-Driven Population Tracking in Large Service Systems
  Fernando Bernstein
• Effects of spectrum handoff delay on secondary users in cognitive radio networks
  Yuta Kamioka, Ken'ichi Kawanishi, Tuan Phung-Duc
• Externalities in the M/G/1 queue: LCFS-PR versus FCFS
  Nikki Levering, Royi Jacobovic, ONNO BOXMA

MD-40: Stochastic Modelling
Stream: Advances in Stochastic Modelling and Learning Methods
Room: 96 (building: 306)
Chair(s): Flora Spieksma

• An Application to Markov Decision Models in Healthcare Screening
  Masayuki Horiguchi
• Markovian Degradation Modeling of Rails
  Steven Harrod, Albert Skovgaard Bisgaard
• Learning to Simulate: Generative Metamodeling via Quantile Regression
  Qingkai Zhang
• On the Deviation matrix of an ergodic denumerable Markov process in continuous time with applications
  Flora Spieksma

TA-40: Queueing Models with Strategic Customers
Stream: Advances in Stochastic Modelling and Learning Methods
Room: 96 (building: 306)
Chair(s): Odysseas Kanavetas

• Reneging behavior of customers in a queueing system subject to breakdowns and repairs
  Dimitrios Logothetis, Odysseas Kanavetas
• Learning and pricing in queues with unobserved balking
  Shreehari Bodas, Michel Mandjes, Liron Ravner
• Strategic reneging in service systems with working breakdowns
  Odysseas Kanavetas, Dimitrios Logothetis, Athanasia Manou

TB-40: Reinforcement Learning: Methods and Applications
Stream: Advances in Stochastic Modelling and Learning Methods
Room: 96 (building: 306)
Chair(s): Konstantin Avrachenkov

• Influence Maximization in Dynamic Networks Using Reinforcement Learning
  Seyedehhaleh Seyeddizaji, Konstantin Avrachenkov
• Online Learning Linear Programming Heuristic for Weakly Coupled MDP
  Alexandre Reiffers
• Algorithms to solve Risk Sensitive MDPs, Games and Applications
  Veeraruna Kavitha, Vartika Singh, Tushar Walunj
• Learning Whittle and LP indices in Average-Reward Restless Multi-Armed Bandits
  Konstantin Avrachenkov

TC-40: Data mining biomedical applications
Stream: Advances in Stochastic Modelling and Learning Methods
Room: 96 (building: 306)
Chair(s): Javier Cabrera, Michael Katehakis, Nuria Diaz-Tena

• A Natural Hermite dissimilarity index randomization for the design of pre-clinical studies, based on a genetic algorithm.
  Sofia Weigle
• Principal Phrase Mining: An Automated Method for Extracting Meaningful Phrases from Text
  Ellie Small
• Forecasting high dimensional Tensor with relatively few observations.
  Nuria Diaz-Tena