Martin Mladenov

Orcid: 0009-0007-5565-5126

According to our database1, Martin Mladenov authored at least 46 papers between 2008 and 2024.

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Bibliography

2024
Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Demystifying Embedding Spaces using Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Modeling Recommender Ecosystems: Research Challenges at the Intersection of Mechanism Design, Reinforcement Learning and Generative Models.
CoRR, 2023

Content Prompting: Modeling Content Provider Dynamics to Improve User Welfare in Recommender Ecosystems.
CoRR, 2023

Ranking with Popularity Bias: User Welfare under Self-Amplification Dynamics.
CoRR, 2023

Investigating Action-Space Generalization in Reinforcement Learning for Recommendation Systems.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Reinforcement Learning with History Dependent Dynamic Contexts.
Proceedings of the International Conference on Machine Learning, 2023

2022
An adversarial variational inference approach for travel demand calibration of urban traffic simulators.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

2021
RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems.
CoRR, 2021

Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Meta-Thompson Sampling.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Differentiable Meta-Learning in Contextual Bandits.
CoRR, 2020

Differentiable Bandit Exploration.
CoRR, 2020

Demonstrating Principled Uncertainty Modeling for Recommender Ecosystems with RecSim NG.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Differentiable Meta-Learning of Bandit Policies.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
RecSim: A Configurable Simulation Platform for Recommender Systems.
CoRR, 2019

Empirical Bayes Regret Minimization.
CoRR, 2019

Advantage Amplification in Slowly Evolving Latent-State Environments.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Planning and Learning with Stochastic Action Sets.
CoRR, 2018

Efficient Symbolic Integration for Probabilistic Inference.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Planning and Learning with Stochastic Action Sets.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Relational linear programming.
Artif. Intell., 2017

Logistic Markov Decision Processes.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Lifted Inference for Convex Quadratic Programs.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

The Symbolic Interior Point Method.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Lifted Convex Quadratic Programming.
CoRR, 2016

RELOOP: A Python-Embedded Declarative Language for Relational Optimization.
Proceedings of the Declarative Learning Based Programming, 2016

2015
Equitable Partitions of Concave Free Energies.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Computer Science on the Move: Inferring Migration Regularities from the Web via Compressed Label Propagation.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014
Relational Linear Programs.
CoRR, 2014

Lifted Message Passing as Reparametrization of Graphical Models.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Dimension Reduction via Colour Refinement.
Proceedings of the Algorithms - ESA 2014, 2014

Efficient Lifting of MAP LP Relaxations Using k-Locality.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Power Iterated Color Refinement.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Lifting Relational MAP-LPs using Cluster Signatures.
Proceedings of the Statistical Relational Artificial Intelligence, 2014

2013
Exploiting symmetries for scaling loopy belief propagation and relational training.
Mach. Learn., 2013

Lifted Inference via k-Locality.
Proceedings of the Statistical Relational Artificial Intelligence, 2013

2012
Identifying Place Histories from Activity Traces with an Eye to Parameter Impact.
IEEE Trans. Vis. Comput. Graph., 2012

Lifted Linear Programming.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Pairwise Markov Logic.
Proceedings of the Inductive Logic Programming - 22nd International Conference, 2012

2011
On Lifted PageRank, Kalman Filter and Towards Lifted Linear Program Solving.
Proceedings of the Report of the symposium "Lernen, 2011

2010
Extracting Events from Spatial Time Series.
Proceedings of the 14th International Conference on Information Visualisation, 2010

Discovering bits of place histories from people's activity traces.
Proceedings of the 5th IEEE Conference on Visual Analytics Science and Technology, 2010

2008
Fault monitoring and correction in a walking robot using LMS filters.
Proceedings of the International Workshop on Intelligent Solutions in Embedded Systems, 2008


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