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Understanding Short-Horizon Bias in Stochastic Meta-Optimization.

, , , and . ICLR (Poster), OpenReview.net, (2018)

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Scaling up Natural Gradient by Sparsely Factorizing the Inverse Fisher Matrix., and . ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 2304-2313. JMLR.org, (2015)Stochastic Gradient Langevin dynamics that Exploit Neural Network Structure., , , , , and . ICLR (Workshop), OpenReview.net, (2018)Noisy Natural Gradient as Variational Inference., , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 5847-5856. PMLR, (2018)Proximal Learning With Opponent-Learning Awareness., , , and . NeurIPS, (2022)Path Independent Equilibrium Models Can Better Exploit Test-Time Computation., , , , , , , and . NeurIPS, (2022)On Monotonic Linear Interpolation of Neural Network Parameters., , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 7168-7179. PMLR, (2021)Fast Convergence of Natural Gradient Descent for Over-Parameterized Neural Networks., , and . NeurIPS, page 8080-8091. (2019)Regularized linear autoencoders recover the principal components, eventually., , , and . NeurIPS, (2020)The Reversible Residual Network: Backpropagation Without Storing Activations., , , and . NIPS, page 2214-2224. (2017)Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation, , , , and . NIPS, page 5279-5288. (2017)