
Robust Learning of Optimal Auctions
We study the problem of learning revenueoptimal multibidder auctions f...
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Semilinear transformations in coding theory and their application to cryptography
This paper presents a brandnew idea of masking the algebraic structure ...
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Expanded Gabidulin Codes and Their Application to Cryptography
This paper presents a new family of linear codes, namely the expanded Ga...
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Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits
We introduce the "inverse bandit" problem of estimating the rewards of a...
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The Stereotyping Problem in Collaboratively Filtered Recommender Systems
Recommender systems – and especially matrix factorizationbased collabor...
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Testtime Collective Prediction
An increasingly common setting in machine learning involves multiple par...
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Online Learning of Competitive Equilibria in Exchange Economies
The sharing of scarce resources among multiple rational agents is one of...
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Two modifications for Loidreau's codebased cryptosystem
This paper presents two modifications for Loidreau's codebased cryptosy...
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MultiSource Causal Inference Using Control Variates
While many areas of machine learning have benefited from the increasing ...
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A Variational Inequality Approach to Bayesian Regression Games
Bayesian regression games are a special class of twoplayer generalsum ...
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Do Offline Metrics Predict Online Performance in Recommender Systems?
Recommender systems operate in an inherently dynamical setting. Past rec...
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Finding Equilibrium in MultiAgent Games with Payoff Uncertainty
We study the problem of finding equilibrium strategies in multiagent ga...
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Neural Kernels Without Tangents
We investigate the connections between neural networks and simple buildi...
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Robust Optimization for Fairness with Noisy Protected Groups
Many existing fairness criteria for machine learning involve equalizing ...
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Accelerated PrimalDual Coordinate Descent for Computational Optimal Transport
We propose and analyze a novel accelerated primaldual coordinate descen...
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Wenshuo Guo
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