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Adrian Vladu

Quantized Distributed Training of Large Models with Convergence Guarantees

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Feb 05, 2023
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CrAM: A Compression-Aware Minimizer

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Jul 28, 2022
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AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks

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Jun 23, 2021
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Decomposable Submodular Function Minimization via Maximum Flow

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Mar 05, 2021
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Projection-Free Bandit Optimization with Privacy Guarantees

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Dec 22, 2020
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Adaptive Gradient Methods for Constrained Convex Optimization

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Aug 16, 2020
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A Parallel Double Greedy Algorithm for Submodular Maximization

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Dec 04, 2018
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Towards Deep Learning Models Resistant to Adversarial Attacks

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Nov 09, 2017
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Multidimensional Binary Search for Contextual Decision-Making

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Apr 26, 2017
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Tight Bounds for Approximate Carathéodory and Beyond

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Dec 29, 2015
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