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Rainer Schlosser
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- affiliation: Hasso Plattner Institute, Potsdam, Germany
- affiliation: Humboldt University of Berlin, Institute of Operations Research, Germany
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2020 – today
- 2024
- [j19]Jan Groeneveld, Judith Herrmann, Nikkel Mollenhauer, Leonard Dreeßen, Nick Bessin, Johann Schulze Tast, Alexander Kastius, Johannes Huegle, Rainer Schlosser
:
Self-learning Agents for Recommerce Markets. Bus. Inf. Syst. Eng. 66(4): 441-463 (2024) - [j18]Stefan Halfpap, Jan Kossmann, Rainer Schlosser, Volker Markl:
Looking Deeply into the Magic Mirror: An Interactive Analysis of Database Index Selection Approaches. Proc. VLDB Endow. 17(12): 4301-4304 (2024) - [c42]Stefan Halfpap, Rainer Schlosser:
Fragment Allocations for Partially Replicated Databases Considering Data Modifications and Changing Workloads. CIKM 2024: 758-767 - [c41]Paul Mattes, Rainer Schlosser, Ralf Herbrich:
Hieros: Hierarchical Imagination on Structured State Space Sequence World Models. ICML 2024 - 2023
- [j17]Rainer Schlosser
Risk-averse dynamic pricing using mean-semivariance optimization. Eur. J. Oper. Res. 310(3): 1151-1163 (2023) - [j16]Rainer Schlosser
Robust Index Selection for Stochastic Dynamic Workloads. SN Comput. Sci. 4(1): 59 (2023) - [c40]Rainer Schlosser:
Dynamic Pricing under Competition: Challenges and Opportunities. ICORES 2023: 7 - [c39]Kenneth Schröder, Alexander Kastius, Rainer Schlosser
Reinforcement Learning Algorithms: Categorization and Structural Properties. ICORES (Selected Papers) 2023: 96-120 - [c38]Kenneth Schröder, Alexander Kastius, Rainer Schlosser
Welcome to the Jungle: A Conceptual Comparison of Reinforcement Learning Algorithms. ICORES 2023: 143-150 - [c37]Johannes Huegle, Christopher Hagedorn, Rainer Schlosser
A KNN-Based Non-Parametric Conditional Independence Test for Mixed Data and Application in Causal Discovery. ECML/PKDD (1) 2023: 541-558 - [i2]Paul Mattes, Rainer Schlosser
Hieros: Hierarchical Imagination on Structured State Space Sequence World Models. CoRR abs/2310.05167 (2023) - 2022
- [j15]Michael Perscheid, Hasso Plattner, Daniel Ritter
Das Fachgebiet "Enterprise Platform and Integration Concepts" am Hasso-Plattner-Institut. Datenbank-Spektrum 22(2): 175-180 (2022) - [j14]Régis Y. Chenavaz
Dynamic pricing with reference price effects in integrated online and offline retailing. Int. J. Prod. Res. 60(19): 5854-5875 (2022) - [j13]Christopher Hagedorn
Understanding unforeseen production downtimes in manufacturing processes using log data-driven causal reasoning. J. Intell. Manuf. 33(7): 2027-2043 (2022) - [j12]Keven Richly, Rainer Schlosser
Budget-Conscious Fine-Grained Configuration Optimization for Spatio-Temporal Applications. Proc. VLDB Endow. 15(13): 4079-4092 (2022) - [j11]Michael Perscheid, Hasso Plattner, Daniel Ritter, Rainer Schlosser
Enterprise Platform and Integration Concepts Research at HPI. SIGMOD Rec. 51(4): 68-73 (2022) - [j10]Rainer Schlosser
Self-Adaptive Agents in a Dynamic Pricing Duopoly: Competition, Collusion, and Risk Considerations. SN Comput. Sci. 3(3): 234 (2022) - [c36]Jan Kossmann, Alexander Kastius, Rainer Schlosser:
SWIRL: Selection of Workload-aware Indexes using Reinforcement Learning. EDBT 2022: 2:155-2:168 - [c35]Tom Braun, Ben Hurdelhey, Dominik Meier, Petr Tsayun, Christopher Hagedorn, Johannes Huegle, Rainer Schlosser
GPUCSL: GPU-Based Library for Causal Structure Learning. ICDM (Workshops) 2022: 1236-1239 - [c34]Marcel Weisgut, Leonardo Hübscher, Oliver Nordemann, Rainer Schlosser
Solver-based Approaches for Robust Multi-index Selection Problems with Stochastic Workloads and Reconfiguration Costs. ICORES 2022: 28-39 - [c33]Christopher Hagedorn
GPU Acceleration for Information-theoretic Constraint-based Causal Discovery. CD@KDD 2022: 30-60 - [c32]Rainer Schlosser, Alexander Kastius:
A Conceptual Framework for Studying Self-learning Agents in Recommerce Markets. OR 2022: 549-555 - [c31]Alexander Kastius, Nils Kiele, Rainer Schlosser:
Multi-agent Dynamic Pricing Using Reinforcement Learning and Asymmetric Information. OR 2022: 557-563 - 2021
- [c30]Rainer Schlosser
Robust and Memory-Efficient Database Fragment Allocation for Large and Uncertain Database Workloads. EDBT 2021: 367-372 - [c29]Keven Richly, Rainer Schlosser, Janos Brauer, Hasso Plattner:
A Probabilistic Location Prediction Approach to Optimize Dispatch Processes in the Ride-Hailing Industry. HICSS 2021: 1-11 - [c28]Stefan Halfpap, Rainer Schlosser
Memory-Efficient Database Fragment Allocation for Robust Load Balancing when Nodes Fail. ICDE 2021: 1811-1816 - [c27]Keven Richly, Rainer Schlosser
Joint Index, Sorting, and Compression Optimization for Memory-Efficient Spatio-Temporal Data Management. ICDE 2021: 1901-1906 - [c26]Keven Richly, Rainer Schlosser
Enabling Risk-Averse Dispatch Processes for Transportation Network Companies by Probabilistic Location Prediction. ICORES (Selected Papers) 2021: 21-42 - [c25]Youri Kaminsky, Tobias Maltenberger, Mats Pörschke, Jan Westphal, Rainer Schlosser
Pricing Competition in a Duopoly with Self-adapting Strategies. ICORES 2021: 60-71 - [c24]Alexander Kastius, Rainer Schlosser:
Towards Transfer Learning for Revenue and Pricing Management. OR 2021: 361-366 - [c23]Rainer Schlosser, Alexander Kastius:
Stochastic Dynamic Pricing Under Duopoly Competition with Mutual Strategy Adjustments. OR 2021: 367-372 - 2020
- [j9]Rainer Schlosser
Risk-sensitive control of Markov decision processes: A moment-based approach with target distributions. Comput. Oper. Res. 123: 104997 (2020) - [j8]Jan Kossmann, Rainer Schlosser
Self-driving database systems: a conceptual approach. Distributed Parallel Databases 38(4): 795-817 (2020) - [j7]Jan Kossmann, Stefan Halfpap, Marcel Jankrift, Rainer Schlosser:
Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms. Proc. VLDB Endow. 13(11): 2382-2395 (2020) - [c22]Stefan Halfpap, Rainer Schlosser
Exploration of Dynamic Query-Based Load Balancing for Partially Replicated Database Systems with Node Failures. CIKM 2020: 3409-3412 - [c21]Keven Richly, Janos Brauer, Rainer Schlosser
Predicting Location Probabilities of Drivers to Improve Dispatch Decisions of Transportation Network Companies based on Trajectory Data. ICORES 2020: 47-58 - [c20]Rainer Schlosser
A Decomposition Approach for Risk-Averse Index Selection. SSDBM 2020: 16:1-16:4
2010 – 2019
- 2019
- [j6]Rainer Schlosser
Automated repricing and ordering strategies in competitive markets. AI Commun. 32(1): 15-29 (2019) - [c19]Jan Kossmann, Rainer Schlosser
A Framework for Self-Managing Database Systems. ICDE Workshops 2019: 100-106 - [c18]Rainer Schlosser
Efficient Scalable Multi-attribute Index Selection Using Recursive Strategies. ICDE 2019: 1238-1249 - [c17]Stefan Halfpap, Rainer Schlosser
Workload-Driven Fragment Allocation for Partially Replicated Databases Using Linear Programming. ICDE 2019: 1746-1749 - [c16]Stefan Halfpap, Rainer Schlosser
A Comparison of Allocation Algorithms for Partially Replicated Databases. ICDE 2019: 2008-2011 - [c15]Rainer Schlosser
Stochastic Dynamic Pricing with Waiting and Forward-Looking Consumers. ICORES (Selected Papers) 2019: 47-69 - [c14]Rainer Schlosser
Stochastic Dynamic Pricing with Strategic Customers and Reference Price Effects. ICORES 2019: 179-188 - 2018
- [j5]Rainer Schlosser
Dealing with the dimensionality curse in dynamic pricing competition: Using frequent repricing to compensate imperfect market anticipations. Comput. Oper. Res. 100: 26-42 (2018) - [c13]Martin Boissier
Hybrid Data Layouts for Tiered HTAP Databases with Pareto-Optimal Data Placements. ICDE 2018: 209-220 - [c12]Rainer Schlosser
Dynamic Pricing Competition with Unobservable Inventory Levels: A Hidden Markov Model Approach. ICORES (Selected Papers) 2018: 15-36 - [c11]Rainer Schlosser
Dynamic Pricing Strategies in a Finite Horizon Duopoly with Partial Information. ICORES 2018: 21-30 - [c10]Rainer Schlosser
Data-Driven Inventory Management and Dynamic Pricing Competition on Online Marketplaces. IJCAI 2018: 5856-5858 - [c9]Rainer Schlosser
Dynamic Pricing under Competition on Online Marketplaces: A Data-Driven Approach. KDD 2018: 705-714 - [c8]Rainer Schlosser:
Data-Driven Stochastic Dynamic Pricing and Ordering. OR 2018: 397-403 - [i1]Rainer Schlosser, Martin Boissier:
Dealing with the Dimensionality Curse in Dynamic Pricing Competition: Using Frequent Repricing to Compensate Imperfect Market Anticipations. CoRR abs/1809.02433 (2018) - 2017
- [j4]Martin Seiffert
Next Generation Cooperative Wearables: Generalized Activity Assessment Computed Fully Distributed Within a Wireless Body Area Network. IEEE Access 5: 16793-16807 (2017) - [j3]Rainer Schlosser
Stochastic dynamic pricing and advertising in isoelastic oligopoly models. Eur. J. Oper. Res. 259(3): 1144-1155 (2017) - [c7]Tim Zimmermann, Timo Djürken, Arne Mayer, Michael Janke, Martin Boissier, Christian Schwarz, Rainer Schlosser, Matthias Uflacker:
Detecting Fraudulent Advertisements on a Large E-Commerce Platform. EDBT/ICDT Workshops 2017 - [c6]Sebastian Serth
An Interactive Platform to Simulate Dynamic Pricing Competition on Online Marketplaces. EDOC 2017: 61-66 - [c5]Rainer Schlosser
Optimal Price Reaction Strategies in the Presence of Active and Passive Competitors. ICORES 2017: 47-56 - [c4]Rainer Schlosser:
Stochastic Dynamic Multi-product Pricing Under Competition. OR 2017: 527-533 - [c3]Martin Boissier, Rainer Schlosser
Data-Driven Repricing Strategies in Competitive Markets: An Interactive Simulation Platform. RecSys 2017: 355-357 - 2016
- [c2]Martin Boissier
A Cost-Aware and Workload-Based Index Advisor for Columnar In-Memory Databases. ICIST 2016: 285-299 - [c1]Rainer Schlosser, Martin Boissier, Andre Schober, Matthias Uflacker:
How to Survive Dynamic Pricing Competition in E-commerce. RecSys Posters 2016 - 2015
- [j2]Kurt Helmes, Rainer Schlosser
Oligopoly Pricing and Advertising in Isoelastic Adoption Models. Dyn. Games Appl. 5(3): 334-360 (2015) - 2013
- [j1]Kurt Helmes, Rainer Schlosser
Optimal advertising and pricing in a class of general new-product adoption models. Eur. J. Oper. Res. 229(2): 433-443 (2013)
Coauthor Index
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last updated on 2024-11-15 20:36 CET by the dblp team
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