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Preferential Mixture-of-Experts: Interpretable Models that Rely on Human Expertise as much as Possible.

, , , , , and . CoRR, (2021)

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Learning in constrained stochastic dynamic potential games., , and . ICASSP, page 4568-4572. IEEE, (2016)Distributed cognitive radio systems with temperature-interference constraints and overlay scheme., , and . EUSIPCO, page 855-859. IEEE, (2014)Optimal attack and defence of large scale networks using mean field theory., , , , and . EUSIPCO, page 973-977. IEEE, (2016)Preferential Mixture-of-Experts: Interpretable Models that Rely on Human Expertise as much as Possible., , , , , and . CoRR, (2021)AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires., , , , , , , , , and 1 other author(s). MLHC, volume 219 of Proceedings of Machine Learning Research, page 588-611. PMLR, (2023)A control theoretic approach to solve a constrained uplink power dynamic game., , and . EUSIPCO, page 401-405. IEEE, (2014)Distributed black-box optimization of nonconvex functions., , and . ICASSP, page 3591-3595. IEEE, (2015)Robust Worst-Case Analysis of Demand-Side Management in Smart Grids., , and . IEEE Trans. Smart Grid, 8 (2): 662-673 (2017)Convolutional Dictionary Learning in Hierarchical Networks., , and . CAMSAP, page 131-135. IEEE, (2019)Pursuit-evasion games: a tractable framework for antijamming games in aerial attacks., , , , and . EURASIP J. Wireless Comm. and Networking, (2017)