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Information Projection and Approximate Inference for Structured Sparse Variables.

, , , и . CoRR, (2016)

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Boosting Variational Inference: an Optimization Perspective., , , и . AISTATS, том 84 из Proceedings of Machine Learning Research, стр. 464-472. PMLR, (2018)Interpreting Black Box Predictions using Fisher Kernels., , , и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 3382-3390. PMLR, (2019)A Deflation Method for Structured Probabilistic PCA., , , и . SDM, стр. 534-542. SIAM, (2017)Adversarially-Trained Deep Nets Transfer Better: Illustration on Image Classification., , , , и . ICLR, OpenReview.net, (2021)Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers., , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 8774-8795. PMLR, (2022)Boundary thickness and robustness in learning models., , , , , , , и . NeurIPS, (2020)LocalNewton: Reducing Communication Bottleneck for Distributed Learning., , , , , и . CoRR, (2021)Information Projection and Approximate Inference for Structured Sparse Variables., , , и . CoRR, (2016)Boosting Variational Inference: an Optimization Perspective., , , и . CoRR, (2017)Structured learning for non-smooth ranking losses., , , и . KDD, стр. 88-96. ACM, (2008)