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Lisa Zhang | Renjie Liao | Yuwen Xiong | Raquel Urtasun | Richard S. Zemel | Xaq Pitkow | Ethan Fetaya | KiJung Yoon | R. Zemel | Ethan Fetaya | R. Urtasun | Renjie Liao | Kijung Yoon | Xaq Pitkow | Yuwen Xiong | Lisa Zhang
[1] Chuan-Sheng Foo,et al. Efficient multiple hyperparameter learning for log-linear models , 2007, NIPS.
[2] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[3] Pineda,et al. Generalization of back-propagation to recurrent neural networks. , 1987, Physical review letters.
[4] Barak A. Pearlmutter. Fast Exact Multiplication by the Hessian , 1994, Neural Computation.
[5] Quoc V. Le,et al. Sequence to Sequence Learning with Neural Networks , 2014, NIPS.
[6] M. Hestenes,et al. Methods of conjugate gradients for solving linear systems , 1952 .
[7] J J Hopfield,et al. Neurons with graded response have collective computational properties like those of two-state neurons. , 1984, Proceedings of the National Academy of Sciences of the United States of America.
[8] Richard S. Zemel,et al. Gated Graph Sequence Neural Networks , 2015, ICLR.
[9] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[10] Simon Haykin,et al. Neural Networks and Learning Machines , 2010 .
[11] Ah Chung Tsoi,et al. The Graph Neural Network Model , 2009, IEEE Transactions on Neural Networks.
[12] J. Zico Kolter,et al. OptNet: Differentiable Optimization as a Layer in Neural Networks , 2017, ICML.
[13] Vassil S. Dimitrov,et al. On the Computation of Neumann Series , 2017, ArXiv.
[14] Justin Domke,et al. Generic Methods for Optimization-Based Modeling , 2012, AISTATS.
[15] Yann Ollivier,et al. Unbiasing Truncated Backpropagation Through Time , 2017, ArXiv.
[16] Yves Chauvin,et al. Backpropagation: theory, architectures, and applications , 1995 .
[17] Ruslan Salakhutdinov,et al. Revisiting Semi-Supervised Learning with Graph Embeddings , 2016, ICML.
[18] Luís B. Almeida,et al. A learning rule for asynchronous perceptrons with feedback in a combinatorial environment , 1990 .
[19] Jasper Snoek,et al. Practical Bayesian Optimization of Machine Learning Algorithms , 2012, NIPS.
[20] Jing Peng,et al. An Efficient Gradient-Based Algorithm for On-Line Training of Recurrent Network Trajectories , 1990, Neural Computation.
[21] Yoshua Bengio,et al. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.
[22] Renjie Liao,et al. Graph Partition Neural Networks for Semi-Supervised Classification , 2018, ICLR.
[23] Michael A. Saunders,et al. LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares , 1982, TOMS.
[24] Yoshua Bengio,et al. Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation , 2016, Front. Comput. Neurosci..
[25] J J Hopfield,et al. Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.
[26] Mohamed Chtourou,et al. On the training of recurrent neural networks , 2011, Eighth International Multi-Conference on Systems, Signals & Devices.
[27] Guillaume Charpiat,et al. Training recurrent networks online without backtracking , 2015, ArXiv.
[28] R. Feynman. Forces in Molecules , 1939 .
[29] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[30] Nicol N. Schraudolph,et al. Fast Curvature Matrix-Vector Products for Second-Order Gradient Descent , 2002, Neural Computation.
[31] P J Webros. BACKPROPAGATION THROUGH TIME: WHAT IT DOES AND HOW TO DO IT , 1990 .
[32] Alan S. Lapedes,et al. A self-optimizing, nonsymmetrical neural net for content addressable memory and pattern recognition , 1986 .
[33] Marshall F. Tappen,et al. Learning optimized MAP estimates in continuously-valued MRF models , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[34] Ryan P. Adams,et al. Gradient-based Hyperparameter Optimization through Reversible Learning , 2015, ICML.
[35] D. Westreich. Evaluating the matrix polynomial I+A+. . .+A/sup N-1/ , 1989 .
[36] Yoshua Bengio,et al. Equivalence of Equilibrium Propagation and Recurrent Backpropagation , 2017, Neural Computation.