Martin Mladenov
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
12
Active years
2010–2024
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | AAAI | Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization. | Craig Boutilier, Martin Mladenov, Guy Tennenholtz |
| 2024 | ICLR | Demystifying Embedding Spaces using Large Language Models. | Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Jihwan Jeong, Lior Shani, Azamat Tulepbergenov, Deepak Ramachandran, Martin Mladenov, Craig Boutilier |
| 2024 | SIGIR | Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies. | Chih-Wei Hsu, Martin Mladenov, Ofer Meshi, James Pine, Hubert Pham, Shane Li, Xujian Liang, Anton Polishko, Li Yang, Ben Scheetz, Craig Boutilier |
| 2023 | ICML | Reinforcement Learning with History Dependent Dynamic Contexts. | Guy Tennenholtz, Nadav Merlis, Lior Shani, Martin Mladenov, Craig Boutilier |
| 2023 | WWW | Investigating Action-Space Generalization in Reinforcement Learning for Recommendation Systems. | Abhishek Naik, Bo Chang, Alexandros Karatzoglou, Martin Mladenov, Ed H. Chi, Minmin Chen |
| 2021 | ICML | Meta-Thompson Sampling. | Branislav Kveton, Mikhail Konobeev, Manzil Zaheer, Chih-Wei Hsu, Martin Mladenov, Craig Boutilier, Csaba Szepesvri |
| 2021 | WWW | Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities. | Ruohan Zhan, Konstantina Christakopoulou, Ya Le, Jayden Ooi, Martin Mladenov, Alex Beutel, Craig Boutilier, Ed H. Chi, Minmin Chen |
| 2020 | ICML | Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach. | Martin Mladenov, Elliot Creager, Omer Ben-Porat, Kevin Swersky, Richard S. Zemel, Craig Boutilier |
| 2020 | RecSys | Demonstrating Principled Uncertainty Modeling for Recommender Ecosystems with RecSim NG. | Martin Mladenov, Chih-Wei Hsu, Vihan Jain, Eugene Ie, Christopher Colby, Nicolas Mayoraz, Hubert Pham, Dustin Tran, Ivan Vendrov, Craig Boutilier |
| 2019 | IJCAI | Advantage Amplification in Slowly Evolving Latent-State Environments. | Martin Mladenov, Ofer Meshi, Jayden Ooi, Dale Schuurmans, Craig Boutilier |
| 2018 | IJCAI | Planning and Learning with Stochastic Action Sets. | Craig Boutilier, Alon Cohen, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans |
| 2018 | IJCAI | Efficient Symbolic Integration for Probabilistic Inference. | Samuel Kolb, Martin Mladenov, Scott Sanner, Vaishak Belle, Kristian Kersting |
| 2017 | AAAI | The Symbolic Interior Point Method. | Martin Mladenov, Vaishak Belle, Kristian Kersting |
| 2017 | AAAI | Lifted Inference for Convex Quadratic Programs. | Martin Mladenov, Leonard Kleinhans, Kristian Kersting |
| 2017 | IJCAI | Logistic Markov Decision Processes. | Martin Mladenov, Craig Boutilier, Dale Schuurmans, Ofer Meshi, Gal Elidan, Tyler Lu |
| 2016 | AAAI | RELOOP: A Python-Embedded Declarative Language for Relational Optimization. | Martin Mladenov, Danny Heinrich, Leonard Kleinhans, Felix Gonsior, Kristian Kersting |
| 2015 | IJCAI | Computer Science on the Move: Inferring Migration Regularities from the Web via Compressed Label Propagation. | Fabian Hadiji, Martin Mladenov, Christian Bauckhage, Kristian Kersting |
| 2015 | UAI | Equitable Partitions of Concave Free Energies. | Martin Mladenov, Kristian Kersting |
| 2014 | AAAI | Lifting Relational MAP-LPs Using Cluster Signatures. | Udi Apsel, Kristian Kersting, Martin Mladenov |
| 2014 | AAAI | Lifting Relational MAP-LPs using Cluster Signatures. | Udi Apsel, Kristian Kersting, Martin Mladenov |
| 2014 | AAAI | Power Iterated Color Refinement. | Kristian Kersting, Martin Mladenov, Roman Garnett, Martin Grohe |
| 2014 | AISTATS | Efficient Lifting of MAP LP Relaxations Using k-Locality. | Martin Mladenov, Kristian Kersting, Amir Globerson |
| 2014 | ESA | Dimension Reduction via Colour Refinement. | Martin Grohe, Kristian Kersting, Martin Mladenov, Erkal Selman |
| 2014 | UAI | Lifted Message Passing as Reparametrization of Graphical Models. | Martin Mladenov, Amir Globerson, Kristian Kersting |
| 2013 | AAAI | Lifted Inference via k-Locality. | Martin Mladenov, Kristian Kersting |
| 2012 | ILP | Pairwise Markov Logic. | Daan Fierens, Kristian Kersting, Jesse Davis, Jian Chen, Martin Mladenov |
| 2010 | IV | Extracting Events from Spatial Time Series. | Gennady L. Andrienko, Natalia V. Andrienko, Martin Mladenov, Michael Mock, Christian Plitz |