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Efficient Informed Proposals for Discrete Distributions via Newton's Series Approximation.

Y. Xiang, D. Zhu, B. Lei, D. Xu, и R. Zhang. AISTATS, том 206 из Proceedings of Machine Learning Research, стр. 7288-7310. PMLR, (2023)

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Lei Lei

Bowen Yan

Bowen Lu

Tina Bowenkamp

Другие публикации лиц с тем же именем

Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction.B. Lei, D. Xu, R. Zhang, S. He, и B. Mallick. CoRR, (2023)ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models.B. Xu, Z. Peng, B. Lei, S. Mukherjee, Y. Liu, и D. Xu. CoRR, (2023)Efficient Informed Proposals for Discrete Distributions via Newton's Series Approximation.Y. Xiang, D. Zhu, B. Lei, D. Xu, и R. Zhang. AISTATS, том 206 из Proceedings of Machine Learning Research, стр. 7288-7310. PMLR, (2023)Accelerating Dataset Distillation via Model Augmentation.L. Zhang, J. Zhang, B. Lei, S. Mukherjee, X. Pan, B. Zhao, C. Ding, Y. Li, и D. Xu. CVPR, стр. 11950-11959. IEEE, (2023)Towards Reliable Rare Category Analysis on Graphs via Individual Calibration.L. Wu, B. Lei, D. Xu, и D. Zhou. KDD, стр. 2629-2638. ACM, (2023)Dynamic Sparse Training via Balancing the Exploration-Exploitation Trade-off.S. Huang, B. Lei, D. Xu, H. Peng, Y. Sun, M. Xie, и C. Ding. DAC, стр. 1-6. IEEE, (2023)Calibrating the Rigged Lottery: Making All Tickets Reliable.B. Lei, R. Zhang, D. Xu, и B. Mallick. ICLR, OpenReview.net, (2023)Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration.S. Huang, H. Fang, K. Mahmood, B. Lei, N. Xu, B. Lei, Y. Sun, D. Xu, W. Wen, и C. Ding. DAC, стр. 1-6. IEEE, (2023)Rethinking Data Distillation: Do Not Overlook Calibration.D. Zhu, Y. Fang, B. Lei, Y. Xie, D. Xu, J. Zhang, и R. Zhang. ICCV, стр. 4912-4922. IEEE, (2023)

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Please choose a person to relate this publication to

Lei Lei

Lei Lei

Bowen Yan

Bowen Lu

Tina Bowenkamp

Другие публикации лиц с тем же именем

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