Mladenov, Martin

20 publications

ICLR 2024 Demystifying Embedding Spaces Using Large Language Models Guy Tennenholtz, Yinlam Chow, ChihWei Hsu, Jihwan Jeong, Lior Shani, Azamat Tulepbergenov, Deepak Ramachandran, Martin Mladenov, Craig Boutilier

AAAI 2024 Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization Craig Boutilier, Martin Mladenov, Guy Tennenholtz

ICML 2023 Reinforcement Learning with History Dependent Dynamic Contexts Guy Tennenholtz, Nadav Merlis, Lior Shani, Martin Mladenov, Craig Boutilier

ICML 2021 Meta-Thompson Sampling Branislav Kveton, Mikhail Konobeev, Manzil Zaheer, Chih-Wei Hsu, Martin Mladenov, Craig Boutilier, Csaba Szepesvari

NeurIPS 2020 Differentiable Meta-Learning of Bandit Policies Craig Boutilier, Chih-wei Hsu, Branislav Kveton, Martin Mladenov, Csaba Szepesvari, Manzil Zaheer

ICML 2020 Optimizing Long-Term Social Welfare in Recommender Systems: A Constrained Matching Approach Martin Mladenov, Elliot Creager, Omer Ben-Porat, Kevin Swersky, Richard Zemel, Craig Boutilier

IJCAI 2019 Advantage Amplification in Slowly Evolving Latent-State Environments Martin Mladenov, Ofer Meshi, Jayden Ooi, Dale Schuurmans, Craig Boutilier

IJCAI 2018 Efficient Symbolic Integration for Probabilistic Inference Samuel Kolb, Martin Mladenov, Scott Sanner, Vaishak Belle, Kristian Kersting

IJCAI 2018 Planning and Learning with Stochastic Action Sets Craig Boutilier, Alon Cohen, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans

AAAI 2017 Lifted Inference for Convex Quadratic Programs Martin Mladenov, Leonard Kleinhans, Kristian Kersting

IJCAI 2017 Logistic Markov Decision Processes Martin Mladenov, Craig Boutilier, Dale Schuurmans, Ofer Meshi, Gal Elidan, Tyler Lu

AAAI 2017 The Symbolic Interior Point Method Martin Mladenov, Vaishak Belle, Kristian Kersting

IJCAI 2015 Computer Science on the Move: Inferring Migration Regularities from the Web via Compressed Label Propagation Fabian Hadiji, Martin Mladenov, Christian Bauckhage, Kristian Kersting

UAI 2015 Equitable Partitions of Concave Free Energies Martin Mladenov, Kristian Kersting

AISTATS 2014 Efficient Lifting of MAP LP Relaxations Using K-Locality Martin Mladenov, Kristian Kersting, Amir Globerson

UAI 2014 Lifted Message Passing as Reparametrization of Graphical Models Martin Mladenov, Amir Globerson, Kristian Kersting

AAAI 2014 Lifting Relational MAP-LPs Using Cluster Signatures Udi Apsel, Kristian Kersting, Martin Mladenov

AAAI 2014 Power Iterated Color Refinement Kristian Kersting, Martin Mladenov, Roman Garnett, Martin Grohe

MLJ 2013 Exploiting Symmetries for Scaling Loopy Belief Propagation and Relational Training Babak Ahmadi, Kristian Kersting, Martin Mladenov, Sriraam Natarajan

AISTATS 2012 Lifted Linear Programming Martin Mladenov, Babak Ahmadi, Kristian Kersting