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Computational Challenges in Machine Learning

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Dormant Last read 3 days ago · last published 9 years ago · next check scheduled
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The Imitation Learning View of Structured Prediction

May 3, 2017 · Simons Institute for the Theory of Computing

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Machine Learning Combinatorial Optimization Algorithms

May 3, 2017 · Simons Institute for the Theory of Computing

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A Cost Function for Similarity-Based Hierarchical Clustering

May 3, 2017 · Simons Institute for the Theory of Computing

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Machine Learning for Healthcare Data

May 3, 2017 · Simons Institute for the Theory of Computing

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Efficient Distributed Deep Learning Using MXNet

May 3, 2017 · Simons Institute for the Theory of Computing

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Your Neural Network Can't Learn Mine

May 2, 2017 · Simons Institute for the Theory of Computing

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Sampling Polytopes: From Euclid to Riemann

May 2, 2017 · Simons Institute for the Theory of Computing

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Understanding Generalization in Adaptive Data Analysis

May 2, 2017 · Simons Institute for the Theory of Computing

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On Gradient-Based Optimization: Accelerated, Distributed, Asynchronous and Stochastic

May 2, 2017 · Simons Institute for the Theory of Computing

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Stochastic Gradient MCMC for Independent and Dependent Data Sources

May 2, 2017 · Simons Institute for the Theory of Computing

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