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Nolan Miller
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2020 – today
- 2024
- [i5]Gus Kristiansen, Mark Sandler, Andrey Zhmoginov, Nolan Miller, Anirudh Goyal, Jihwan Lee, Max Vladymyrov:
Narrowing the Focus: Learned Optimizers for Pretrained Models. CoRR abs/2408.09310 (2024) - 2023
- [c2]Andrey Zhmoginov, Mark Sandler, Nolan Miller, Gus Kristiansen, Max Vladymyrov:
Decentralized Learning with Multi-Headed Distillation. CVPR 2023: 8053-8063 - [i4]Mark Sandler, Andrey Zhmoginov, Max Vladymyrov, Nolan Miller:
Training trajectories, mini-batch losses and the curious role of the learning rate. CoRR abs/2301.02312 (2023) - [i3]Johannes von Oswald, Eyvind Niklasson, Maximilian Schlegel, Seijin Kobayashi, Nicolas Zucchet, Nino Scherrer, Nolan Miller, Mark Sandler, Blaise Agüera y Arcas, Max Vladymyrov, Razvan Pascanu, João Sacramento:
Uncovering mesa-optimization algorithms in Transformers. CoRR abs/2309.05858 (2023) - 2022
- [i2]Andrey Zhmoginov, Mark Sandler, Nolan Miller, Gus Kristiansen, Max Vladymyrov:
Decentralized Learning with Multi-Headed Distillation. CoRR abs/2211.15774 (2022) - 2021
- [c1]Mark Sandler, Max Vladymyrov, Andrey Zhmoginov, Nolan Miller, Tom Madams, Andrew Jackson, Blaise Agüera y Arcas:
Meta-Learning Bidirectional Update Rules. ICML 2021: 9288-9300 - [i1]Mark Sandler, Max Vladymyrov, Andrey Zhmoginov, Nolan Miller, Andrew Jackson, Tom Madams, Blaise Agüera y Arcas:
Meta-Learning Bidirectional Update Rules. CoRR abs/2104.04657 (2021)
2000 – 2009
- 2009
- [p1]Nolan Miller, Paul Resnick, Richard Zeckhauser:
Eliciting Informative Feedback: The Peer-Prediction Method. Computing with Social Trust 2009: 185-212 - 2007
- [j2]Nolan Miller, John W. Pratt, Richard J. Zeckhauser, Scott Johnson:
Mechanism design with multidimensional, continuous types and interdependent valuations. J. Econ. Theory 136(1): 476-496 (2007) - 2005
- [j1]Nolan Miller, Paul Resnick, Richard Zeckhauser:
Eliciting Informative Feedback: The Peer-Prediction Method. Manag. Sci. 51(9): 1359-1373 (2005)
Coauthor Index
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