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Program for stream Advances in Stochastic Modelling and Learning Methods
Sunday
Monday
Monday, 10:30-12:00
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
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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
Monday, 12:30-14:00
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
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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
Monday, 14:30-16:00
MD-40: Stochastic Modelling
Stream: Advances in Stochastic Modelling and Learning Methods
Room: 96 (building: 306)
Chair(s):
Flora Spieksma
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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
Tuesday
Tuesday, 8:30-10:00
TA-40: Queueing Models with Strategic Customers
Stream: Advances in Stochastic Modelling and Learning Methods
Room: 96 (building: 306)
Chair(s):
Odysseas Kanavetas
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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
Tuesday, 10:30-12:00
TB-40: Reinforcement Learning: Methods and Applications
Stream: Advances in Stochastic Modelling and Learning Methods
Room: 96 (building: 306)
Chair(s):
Konstantin Avrachenkov
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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
Tuesday, 12:30-14:00
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
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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