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Computational learning theory
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#	Item
231	Journal of Machine Learning Research[removed]2801 Submitted 1/08; Revised 9/08; Published[removed]Robust Submodular Observation Selection Andreas Krause Add to Reading List Source URL: www.select.cs.cmu.edu Language: English - Date: 2009-08-13 03:47:05 Computational complexity theory Submodular set function Matroid theory Greedy algorithm Algorithm Optimization problem Selection algorithm Time complexity Reduction Theoretical computer science Mathematics Applied mathematics
232	arXiv:1310.8499v2 [cs.LG] 20 May[removed]Deep AutoRegressive Networks Karol Gregor Ivo Danihelka Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-05-20 20:36:13 Computational statistics Boltzmann machine Autoencoder Information theory Expectation–maximization algorithm Perceptron Backpropagation Autoregressive conditional heteroskedasticity Importance sampling Neural networks Statistics Machine learning
233	No More Pesky Learning Rates Tom Schaul Sixin Zhang Yann LeCun Courant Institute of Mathematical Sciences Add to Reading List Source URL: yann.lecun.com Language: English - Date: 2013-06-04 12:26:23 Computational statistics Neural networks Statistical theory Econometrics Fisher information Stochastic gradient descent Loss function Perceptron Yann LeCun Statistics Machine learning Estimation theory
234	Foundations of Machine Learning Lecture 2 Mehryar Mohri Courant Institute and Google Research Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2014-09-22 09:09:12 Computational learning theory Learning Probably approximately correct learning Mehryar Mohri Mohri Computational complexity theory Generalization error Algorithm Time complexity Theoretical computer science Applied mathematics Machine learning
235	Solving LWE problem with bounded errors in polynomial time Jintai Ding1,2 Southern Chinese University of Technology, 1 University of Cincinnati, 2 [removed] Add to Reading List Source URL: eprint.iacr.org Language: English - Date: 2010-11-02 07:13:56 Cryptography Computational complexity theory Information theory Models of computation Learning with errors Lattice problem Quantum computer PP Low Theoretical computer science Applied mathematics Mathematics
236	Abstract of “ Toward Practical Planar Graph Algorithms ” by David Elliot Eisenstat, Ph.D., Brown University, May 2014 Many optimization problems involving graphs naturally feature road networks, grids, or other large Add to Reading List Source URL: www.davideisenstat.com Language: English - Date: 2015-01-19 22:58:16 Computational learning theory Dana Angluin Applied mathematics Michael L. Scott Computing Year of birth missing James Aspnes Computer science
237	Policy Search for Motor Primitives in Robotics Jens Kober, Jan Peters Max Planck Institute for Biological Cybernetics Spemannstr[removed]Tübingen, Germany Add to Reading List Source URL: www-clmc.usc.edu Language: English - Date: 2009-01-13 06:30:39 Mind Computational neuroscience Neural networks Reinforcement learning Expectation–maximization algorithm Artificial neural network Fisher information Motor learning Statistics Machine learning Estimation theory
238	Table of Contents Invited Presentations Random Multivariate Search Trees Luc Devroye . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2006-06-13 07:36:33 Computational learning theory Theoretical computer science Manfred K. Warmuth Supervised learning Stability Reinforcement learning Perceptron Least squares Machine learning Learning Artificial intelligence
239	Quantum Machine Learning Algorithms: Read the Fine Print Scott Aaronson For twenty years, quantum computing has been catnip to science journalists. Not only would a quantum computer harness the notorious weirdness of qua Add to Reading List Source URL: www.scottaaronson.com Language: English - Date: 2015-02-03 15:32:05 Computational complexity theory Quantum algorithms Quantum computer Algorithm Time complexity Speedup Qubit Quantum mechanics BQP Theoretical computer science Applied mathematics Quantum information science
240	On the concrete hardness of Learning with Errors Martin R. Albrecht1 , Rachel Player1 , and Sam Scott1 Information Security Group, Royal Holloway, University of London Abstract. The Learning with Errors (LWE) problem has Add to Reading List Source URL: eprint.iacr.org Language: English - Date: 2015-01-19 12:06:15 Lattice points Computational number theory Abstract algebra Lattice problem Lattice reduction Lenstra–Lenstra–Lovász lattice basis reduction algorithm Learning with errors Lattice Projection Mathematics Cryptography Algebra

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