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Disambiguation of "Parker-Holder, Jack"

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From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers.

, , , , , , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 3962-3983. PMLR, (2022)

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Thomas Parker

David Parker

Darren Parker

June Parker

Jan Parker

 

Other publications of authors with the same name

Practical Nonisotropic Monte Carlo Sampling in High Dimensions via Determinantal Point Processes., , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 1363-1374. PMLR, (2020)Provably Robust Blackbox Optimization for Reinforcement Learning., , , , , , , , and . CoRL, volume 100 of Proceedings of Machine Learning Research, page 683-696. PMLR, (2019)Human-Timescale Adaptation in an Open-Ended Task Space., , , , , , , , , and 18 other author(s). CoRR, (2023)Towards tractable optimism in model-based reinforcement learning., , , , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 1413-1423. AUAI Press, (2021)Ready Policy One: World Building Through Active Learning., , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 591-601. PMLR, (2020)Towards an Understanding of Default Policies in Multitask Policy Optimization., , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 10661-10686. PMLR, (2022)From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization., , , , and . NeurIPS, page 10299-10309. (2019)Insights From the NeurIPS 2021 NetHack Challenge., , , , , , , , , and 19 other author(s). NeurIPS (Competition and Demos), volume 176 of Proceedings of Machine Learning Research, page 41-52. PMLR, (2021)Grounding Aleatoric Uncertainty for Unsupervised Environment Design., , , , , , , and . NeurIPS, (2022)MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research., , , , , , , , , and . NeurIPS Datasets and Benchmarks, (2021)