| Gemma: Open models based on gemini research and technology G Team, T Mesnard, C Hardin, R Dadashi, S Bhupatiraju, S Pathak, ... arXiv preprint arXiv:2403.08295, 2024 | 403 | 2024 |
| Exploring the Vickrey-Clarke-Groves mechanism for electricity markets PG Sessa, N Walton, M Kamgarpour IFAC-PapersOnLine 50 (1), 189-194, 2017 | 49 | 2017 |
| No-regret learning in unknown games with correlated payoffs PG Sessa, I Bogunovic, M Kamgarpour, A Krause Advances in Neural Information Processing Systems 32, 2019 | 44 | 2019 |
| Gemma 2: Improving open language models at a practical size G Team, M Riviere, S Pathak, PG Sessa, C Hardin, S Bhupatiraju, ... arXiv preprint arXiv:2408.00118, 2024 | 31 | 2024 |
| Boosting search engines with interactive agents L Adolphs, B Boerschinger, C Buck, MC Huebscher, M Ciaramita, ... arXiv preprint arXiv:2109.00527, 2021 | 25 | 2021 |
| Designing coalition-proof reverse auctions over continuous goods O Karaca, PG Sessa, N Walton, M Kamgarpour IEEE Transactions on Automatic Control 64 (11), 4803-4810, 2019 | 24 | 2019 |
| Learning to play sequential games versus unknown opponents PG Sessa, I Bogunovic, M Kamgarpour, A Krause Advances in neural information processing systems 33, 8971-8981, 2020 | 23 | 2020 |
| Contextual games: Multi-agent learning with side information PG Sessa, I Bogunovic, A Krause, M Kamgarpour Advances in Neural Information Processing Systems 33, 21912-21922, 2020 | 21 | 2020 |
| Charline Le Lan, Christopher A G Team, T Mesnard, C Hardin, R Dadashi, S Bhupatiraju, S Pathak, ... | 19 | 2024 |
| Mixed strategies for robust optimization of unknown objectives PG Sessa, I Bogunovic, M Kamgarpour, A Krause International Conference on Artificial Intelligence and Statistics, 2970-2980, 2020 | 18 | 2020 |
| Bounding inefficiency of equilibria in continuous actions games using submodularity and curvature PG Sessa, M Kamgarpour, A Krause The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 13 | 2019 |
| From uncertainty data to robust policies for temporal logic planning PG Sessa, D Frick, TA Wood, M Kamgarpour Proceedings of the 21st International Conference on Hybrid Systems …, 2018 | 12 | 2018 |
| Efficient model-based multi-agent reinforcement learning via optimistic equilibrium computation PG Sessa, M Kamgarpour, A Krause International Conference on Machine Learning, 19580-19597, 2022 | 11 | 2022 |
| Movement penalized Bayesian optimization with application to wind energy systems SS Ramesh, PG Sessa, A Krause, I Bogunovic Advances in Neural Information Processing Systems 35, 27036-27048, 2022 | 10 | 2022 |
| Filtering approaches for online train motion estimation with onboard power measurements PG Sessa, V De Martinis, F Corman Computer‐Aided Civil and Infrastructure Engineering 35 (5), 415-429, 2020 | 10 | 2020 |
| No-regret learning from partially observed data in repeated auctions O Karaca*, PG Sessa*, A Leidi, M Kamgarpour IFAC-PapersOnLine 53 (2), 14-19, 2020 | 10 | 2020 |
| Distributionally robust model-based reinforcement learning with large state spaces SS Ramesh, PG Sessa, Y Hu, A Krause, I Bogunovic International Conference on Artificial Intelligence and Statistics, 100-108, 2024 | 9 | 2024 |
| Exploiting structure of chance constrained programs via submodularity D Frick*, PG Sessa*, TA Wood, M Kamgarpour Automatica 105, 89-95, 2019 | 7 | 2019 |
| Bond: Aligning llms with best-of-n distillation PG Sessa, R Dadashi, L Hussenot, J Ferret, N Vieillard, A Ramé, ... arXiv preprint arXiv:2407.14622, 2024 | 4 | 2024 |
| Online submodular resource allocation with applications to rebalancing shared mobility systems PG Sessa, I Bogunovic, A Krause, M Kamgarpour International Conference on Machine Learning, 9455-9464, 2021 | 4 | 2021 |
Maryam KamgarpourEPFLVerified email at epfl.ch
