Rainer Schlosser

Orcid: 0000-0002-6627-4026

Affiliations:
  • Hasso Plattner Institute, Potsdam, Germany
  • Humboldt University of Berlin, Institute of Operations Research, Germany


According to our database1, Rainer Schlosser authored at least 54 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Risk-averse dynamic pricing using mean-semivariance optimization.
Eur. J. Oper. Res., November, 2023

Robust Index Selection for Stochastic Dynamic Workloads.
SN Comput. Sci., 2023

Hieros: Hierarchical Imagination on Structured State Space Sequence World Models.
CoRR, 2023

A KNN-Based Non-Parametric Conditional Independence Test for Mixed Data and Application in Causal Discovery.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Reinforcement Learning Algorithms: Categorization and Structural Properties.
Proceedings of the Operations Research and Enterprise Systems, 2023

Welcome to the Jungle: A Conceptual Comparison of Reinforcement Learning Algorithms.
Proceedings of the 12th International Conference on Operations Research and Enterprise Systems, 2023

Dynamic Pricing under Competition: Challenges and Opportunities.
Proceedings of the 12th International Conference on Operations Research and Enterprise Systems, 2023

2022
Enterprise Platform and Integration Concepts Research at HPI.
SIGMOD Rec., December, 2022

Self-Adaptive Agents in a Dynamic Pricing Duopoly: Competition, Collusion, and Risk Considerations.
SN Comput. Sci., 2022

Budget-Conscious Fine-Grained Configuration Optimization for Spatio-Temporal Applications.
Proc. VLDB Endow., 2022

Understanding unforeseen production downtimes in manufacturing processes using log data-driven causal reasoning.
J. Intell. Manuf., 2022

Dynamic pricing with reference price effects in integrated online and offline retailing.
Int. J. Prod. Res., 2022

Das Fachgebiet "Enterprise Platform and Integration Concepts" am Hasso-Plattner-Institut.
Datenbank-Spektrum, 2022

GPU Acceleration for Information-theoretic Constraint-based Causal Discovery.
Proceedings of the KDD'22 Workshop on Causal Discovery, 15 August 2022, Washington DC, USA, 2022

Solver-based Approaches for Robust Multi-index Selection Problems with Stochastic Workloads and Reconfiguration Costs.
Proceedings of the 11th International Conference on Operations Research and Enterprise Systems, 2022

GPUCSL: GPU-Based Library for Causal Structure Learning.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

SWIRL: Selection of Workload-aware Indexes using Reinforcement Learning.
Proceedings of the 25th International Conference on Extending Database Technology, 2022

2021
Stochastic Dynamic Pricing Under Duopoly Competition with Mutual Strategy Adjustments.
Proceedings of the Operations Research Proceedings 2021, Selected Papers of the International Conference of the Swiss, German and Austrian Operations Research Societies (SVOR/ASRO, GOR e.V., ÖGOR), University of Bern, Switzerland, August 31, 2021

Towards Transfer Learning for Revenue and Pricing Management.
Proceedings of the Operations Research Proceedings 2021, Selected Papers of the International Conference of the Swiss, German and Austrian Operations Research Societies (SVOR/ASRO, GOR e.V., ÖGOR), University of Bern, Switzerland, August 31, 2021

Pricing Competition in a Duopoly with Self-adapting Strategies.
Proceedings of the 10th International Conference on Operations Research and Enterprise Systems, 2021

Joint Index, Sorting, and Compression Optimization for Memory-Efficient Spatio-Temporal Data Management.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Memory-Efficient Database Fragment Allocation for Robust Load Balancing when Nodes Fail.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

A Probabilistic Location Prediction Approach to Optimize Dispatch Processes in the Ride-Hailing Industry.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

Robust and Memory-Efficient Database Fragment Allocation for Large and Uncertain Database Workloads.
Proceedings of the 24th International Conference on Extending Database Technology, 2021

2020
Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms.
Proc. VLDB Endow., 2020

Self-driving database systems: a conceptual approach.
Distributed Parallel Databases, 2020

Risk-sensitive control of Markov decision processes: A moment-based approach with target distributions.
Comput. Oper. Res., 2020

A Decomposition Approach for Risk-Averse Index Selection.
Proceedings of the SSDBM 2020: 32nd International Conference on Scientific and Statistical Database Management, 2020

Predicting Location Probabilities of Drivers to Improve Dispatch Decisions of Transportation Network Companies based on Trajectory Data.
Proceedings of the 9th International Conference on Operations Research and Enterprise Systems, 2020

Exploration of Dynamic Query-Based Load Balancing for Partially Replicated Database Systems with Node Failures.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Automated repricing and ordering strategies in competitive markets.
AI Commun., 2019

Stochastic Dynamic Pricing with Strategic Customers and Reference Price Effects.
Proceedings of the 8th International Conference on Operations Research and Enterprise Systems, 2019

Efficient Scalable Multi-attribute Index Selection Using Recursive Strategies.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

A Framework for Self-Managing Database Systems.
Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019

A Comparison of Allocation Algorithms for Partially Replicated Databases.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Workload-Driven Fragment Allocation for Partially Replicated Databases Using Linear Programming.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018
Dealing with the dimensionality curse in dynamic pricing competition: Using frequent repricing to compensate imperfect market anticipations.
Comput. Oper. Res., 2018

Data-Driven Stochastic Dynamic Pricing and Ordering.
Proceedings of the Operations Research Proceedings 2018, 2018

Dynamic Pricing under Competition on Online Marketplaces: A Data-Driven Approach.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Data-Driven Inventory Management and Dynamic Pricing Competition on Online Marketplaces.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Dynamic Pricing Competition with Unobservable Inventory Levels: A Hidden Markov Model Approach.
Proceedings of the Operations Research and Enterprise Systems, 2018

Dynamic Pricing Strategies in a Finite Horizon Duopoly with Partial Information.
Proceedings of the 7th International Conference on Operations Research and Enterprise Systems, 2018

Hybrid Data Layouts for Tiered HTAP Databases with Pareto-Optimal Data Placements.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017
Stochastic dynamic pricing and advertising in isoelastic oligopoly models.
Eur. J. Oper. Res., 2017

Next Generation Cooperative Wearables: Generalized Activity Assessment Computed Fully Distributed Within a Wireless Body Area Network.
IEEE Access, 2017

Data-Driven Repricing Strategies in Competitive Markets: An Interactive Simulation Platform.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Stochastic Dynamic Multi-product Pricing Under Competition.
Proceedings of the Operations Research Proceedings 2017, 2017

Optimal Price Reaction Strategies in the Presence of Active and Passive Competitors.
Proceedings of the 6th International Conference on Operations Research and Enterprise Systems, 2017

An Interactive Platform to Simulate Dynamic Pricing Competition on Online Marketplaces.
Proceedings of the 21st IEEE International Enterprise Distributed Object Computing Conference, 2017

Detecting Fraudulent Advertisements on a Large E-Commerce Platform.
Proceedings of the Workshops of the EDBT/ICDT 2017 Joint Conference (EDBT/ICDT 2017), 2017

2016
How to Survive Dynamic Pricing Competition in E-commerce.
Proceedings of the Poster Track of the 10th ACM Conference on Recommender Systems (RecSys 2016), 2016

A Cost-Aware and Workload-Based Index Advisor for Columnar In-Memory Databases.
Proceedings of the Information and Software Technologies - 22nd International Conference, 2016

2015
Oligopoly Pricing and Advertising in Isoelastic Adoption Models.
Dyn. Games Appl., 2015

2013
Optimal advertising and pricing in a class of general new-product adoption models.
Eur. J. Oper. Res., 2013


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