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Using Butterfly-Patterned Partial Sums to Optimize GPU Memory Accesses for Drawing from Discrete Distributions., and . CoRR, (2015)Computable PAC Learning of Continuous Features., , , , and . LICS, page 7:1-7:12. ACM, (2022)Rate-Regularization and Generalization in Variational Autoencoders., , , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 3880-3888. PMLR, (2021)Efficient Training of LDA on a GPU by Mean-for-Mode Estimation., , and . ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 59-68. JMLR.org, (2015)Scaling Hierarchical Coreference with Homomorphic Compression., , , and . AKBC, (2019)Enforcing Output Constraints via SGD: A Step Towards Neural Lagrangian Relaxation., , , and . AKBC@NIPS, OpenReview.net, (2017)Adding Approximate Counters., and . ACM Trans. Parallel Comput., 4 (1): 5:1-5:45 (2017)A formal proof of PAC learnability for decision stumps., , , and . CPP, page 5-17. ACM, (2021)Conjugate Energy-Based Models., , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 11228-11239. PMLR, (2021)Using Butterfly-Patterned Partial Sums to Draw from Discrete Distributions., and . PPoPP, page 341-355. ACM, (2017)