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02/23/2023
Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws
Specifying reward functions for complex tasks like object manipulation o...
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02/20/2023
Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty
In online marketplaces, customers have access to hundreds of reviews for...
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07/10/2022
Mechanisms that Incentivize Data Sharing in Federated Learning
Federated learning is typically considered a beneficial technology which...
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02/25/2022
Off-Policy Evaluation with Policy-Dependent Optimization Response
The intersection of causal inference and machine learning for decision-m...
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02/22/2022
No-Regret Learning in Partially-Informed Auctions
Auctions with partially-revealed information about items are broadly emp...
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12/31/2021
Polynomial-Time Key Recovery Attack on the Lau-Tan Cryptosystem Based on Gabidulin Codes
This paper presents a key recovery attack on the cryptosystem proposed b...
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07/13/2021
Robust Learning of Optimal Auctions
We study the problem of learning revenue-optimal multi-bidder auctions f...
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07/07/2021
Semilinear transformations in coding theory and their application to cryptography
This paper presents a brand-new idea of masking the algebraic structure ...
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07/04/2021
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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06/28/2021
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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06/23/2021
The Stereotyping Problem in Collaboratively Filtered Recommender Systems
Recommender systems – and especially matrix factorization-based collabor...
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06/22/2021
Test-time Collective Prediction
An increasingly common setting in machine learning involves multiple par...
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06/11/2021
Online Learning of Competitive Equilibria in Exchange Economies
The sharing of scarce resources among multiple rational agents is one of...
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04/06/2021
Two modifications for Loidreau's code-based cryptosystem
This paper presents two modifications for Loidreau's code-based cryptosy...
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03/30/2021
Multi-Source Causal Inference Using Control Variates
While many areas of machine learning have benefited from the increasing ...
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03/24/2021
A Variational Inequality Approach to Bayesian Regression Games
Bayesian regression games are a special class of two-player general-sum ...
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11/07/2020
Do Offline Metrics Predict Online Performance in Recommender Systems?
Recommender systems operate in an inherently dynamical setting. Past rec...
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07/10/2020
Finding Equilibrium in Multi-Agent Games with Payoff Uncertainty
We study the problem of finding equilibrium strategies in multi-agent ga...
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03/04/2020
Neural Kernels Without Tangents
We investigate the connections between neural networks and simple buildi...
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02/21/2020
Robust Optimization for Fairness with Noisy Protected Groups
Many existing fairness criteria for machine learning involve equalizing ...
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05/23/2019