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Breaking the gridlock in Mixture-of-Experts: Consistent and Efficient Algorithms.

, , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 4304-4313. PMLR, (2019)

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On additive-combinatorial affine inequalities for Shannon entropy and differential entropy., and . ISIT, page 1053-1057. IEEE, (2016)Learning One-hidden-layer Neural Networks under General Input Distributions., , , and . CoRR, (2018)Learning One-hidden-layer Neural Networks under General Input Distributions., , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1950-1959. PMLR, (2019)Optimal transport mapping via input convex neural networks., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 6672-6681. PMLR, (2020)LASER: Linear Compression in Wireless Distributed Optimization., , , , , and . CoRR, (2023)Machine Learning-Aided Efficient Decoding of Reed-Muller Subcodes., , , , , and . CoRR, (2023)Barracuda: The Power of ℓ-polling in Proof-of-Stake Blockchains., , , , , and . MobiHoc, page 351-360. ACM, (2019)Globally Consistent Algorithms for Mixture of Experts., , and . CoRR, (2018)Equivalence of Additive-Combinatorial Linear Inequalities for Shannon Entropy and Differential Entropy., and . IEEE Trans. Inf. Theory, 64 (5): 3579-3589 (2018)Learning in Gated Neural Networks., , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 3338-3348. PMLR, (2020)