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Avrim Blum

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Competitive strategies to use "warm start" algorithms with predictions

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May 06, 2024
Vaidehi Srinivas, Avrim Blum

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Learning Actionable Counterfactual Explanations in Large State Spaces

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Apr 25, 2024
Keziah Naggita, Matthew R. Walter, Avrim Blum

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Nearly-tight Approximation Guarantees for the Improving Multi-Armed Bandits Problem

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Apr 01, 2024
Avrim Blum, Kavya Ravichandran

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Dueling Optimization with a Monotone Adversary

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Nov 18, 2023
Avrim Blum, Meghal Gupta, Gene Li, Naren Sarayu Manoj, Aadirupa Saha, Yuanyuan Yang

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On the Vulnerability of Fairness Constrained Learning to Malicious Noise

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Jul 26, 2023
Avrim Blum, Princewill Okoroafor, Aadirupa Saha, Kevin Stangl

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Strategic Classification under Unknown Personalized Manipulation

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May 25, 2023
Han Shao, Avrim Blum, Omar Montasser

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Certifiable (Multi)Robustness Against Patch Attacks Using ERM

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Mar 15, 2023
Saba Ahmadi, Avrim Blum, Omar Montasser, Kevin Stangl

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Fundamental Bounds on Online Strategic Classification

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Feb 23, 2023
Saba Ahmadi, Avrim Blum, Kunhe Yang

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Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback

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Feb 07, 2023
Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew R. Walter

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Multi Stage Screening: Enforcing Fairness and Maximizing Efficiency in a Pre-Existing Pipeline

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Mar 14, 2022
Avrim Blum, Kevin Stangl, Ali Vakilian

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