Jordan Hoffmann
According to our database1,
Jordan Hoffmann
authored at least 14 papers
between 2019 and 2023.
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Bibliography
2023
Policy composition in reinforcement learning via multi-objective policy optimization.
CoRR, 2023
2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
CoRR, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization.
Proceedings of the 8th International Conference on Learning Representations, 2020
2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization.
CoRR, 2019
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019