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DynaMS: Dyanmic Margin Selection for Efficient Deep Learning., , , , , , , , , и . ICLR, OpenReview.net, (2023)Learning Query-aware Embedding Index for Improving E-commerce Dense Retrieval., , , , , , и . SIGIR, стр. 3265-3269. ACM, (2023)Adaptive Hyper-parameter Learning for Deep Semantic Retrieval., , , , , , , и . EMNLP (Industry Track), стр. 775-782. Association for Computational Linguistics, (2023)Adaptive Dropout Rates for Learning with Corrupted Features., , и . IJCAI, стр. 4126-4133. AAAI Press, (2015)Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors., , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 5995-6003. PMLR, (2018)Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors., , и . CoRR, (2017)Understanding and Accelerating Particle-Based Variational Inference., , , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 4082-4092. PMLR, (2019)Understanding MCMC Dynamics as Flows on the Wasserstein Space., , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 4093-4103. PMLR, (2019)WSLRec: Weakly Supervised Learning for Neural Sequential Recommendation Models., , , , и . CoRR, (2022)Learning Random Fourier Features by Hybrid Constrained Optimization., , и . CoRR, (2017)