ininternational conferenceon learning representation
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Practical Deep Learning with Bayesian Principles
Kazuki Osawa, Siddharth Swaroop, Mohammad Emtiyaz E. Khan, Anirudh Jain, Runa Eschenhagen, Richard E. Turner, Rio Yokota
Figure 2: distributed calculation algorithmic Momentum Itiswell improv to Adam, where 1isthemomentumµin in Adaminit.xavier_normalin V methods, and AUR andissecond-best significantly and Adam Wealsosho7] in Figures itscalibration ImageNet, required Wealso different protocol 16,31,8,32] tocompare Wealsoborro16,30], sho reporting Ideally, we data.
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Exponential Family Estimation via Adversarial Dynamics Embedding
Bo Dai, Zhen Liu, Hanjun Dai, Niao He, Arthur Gretton, Le Song, Dale Schuurmans
Theorem 1 (Fencheldualoflog-partition (Wainwrightand Jordan,2008)) Let H(q): = R q(x) logq(x)dx. The C. Compared optimization Goodfello, 2014; Arjovsk, 2017; Dai, 2017), thereversalmin-maxin (20), themajor sharesparameters updatesofthe accelerating learnedadv empirically 5. Similaroptimization(13) with (17).
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