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The Geometry of Random Features.

, , , , , и . AISTATS, том 84 из Proceedings of Machine Learning Research, стр. 1-9. PMLR, (2018)

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Krzysztof Swiatek

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Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car., , , , , , и . CoRR, (2017)The Geometry of Random Features., , , , , и . AISTATS, том 84 из Proceedings of Machine Learning Research, стр. 1-9. PMLR, (2018)Binary embeddings with structured hashed projections., , , , , и . ICML, том 48 из JMLR Workshop and Conference Proceedings, стр. 344-353. JMLR.org, (2016)Universal Graph Random Features., , , и . CoRR, (2023)Quasi-Monte Carlo Graph Random Features., , и . CoRR, (2023)Stochastic Flows and Geometric Optimization on the Orthogonal Group., , , , , , , , , и 5 other автор(ы). ICML, том 119 из Proceedings of Machine Learning Research, стр. 1918-1928. PMLR, (2020)Adaptive Anonymity via b-Matching., , и . NIPS, стр. 3192-3200. (2013)Structured Unrestricted-Rank Matrices for Parameter Efficient Fine-tuning., , , , , , и . CoRR, (2024)Provably Robust Blackbox Optimization for Reinforcement Learning., , , , , , , , и . CoRL, том 100 из Proceedings of Machine Learning Research, стр. 683-696. PMLR, (2019)Variance Reduction for Evolution Strategies via Structured Control Variates., , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 646-656. PMLR, (2020)