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Katya Scheinberg

Finding Optimal Policy for Queueing Models: New Parameterization

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Jun 21, 2022
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Nesterov Accelerated Shuffling Gradient Method for Convex Optimization

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Feb 07, 2022
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Adaptive Stochastic Optimization

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Jan 18, 2020
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A Novel Smoothed Loss and Penalty Function for Noncrossing Composite Quantile Estimation via Deep Neural Networks

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Sep 24, 2019
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Feature Engineering and Forecasting via Integration of Derivative-free Optimization and Ensemble of Sequence-to-sequence Networks: Renewable Energy Case Studies

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Sep 12, 2019
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Linear interpolation gives better gradients than Gaussian smoothing in derivative-free optimization

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Jun 02, 2019
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Novel and Efficient Approximations for Zero-One Loss of Linear Classifiers

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Feb 28, 2019
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Inexact SARAH Algorithm for Stochastic Optimization

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Nov 25, 2018
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New Convergence Aspects of Stochastic Gradient Algorithms

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Nov 10, 2018
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A Stochastic Trust Region Algorithm Based on Careful Step Normalization

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Jun 26, 2018
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