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Abhishek Sinha

Tight Bounds for Online Convex Optimization with Adversarial Constraints

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May 15, 2024
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Zero-shot Active Learning Using Self Supervised Learning

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Jan 03, 2024
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Confidence Is All You Need for MI Attacks

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Nov 26, 2023
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Playing in the Dark: No-regret Learning with Adversarial Constraints

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Oct 29, 2023
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$α$-Fair Contextual Bandits

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Oct 22, 2023
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BanditQ -- No-Regret Learning with Guaranteed Per-User Rewards in Adversarial Environments

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Apr 11, 2023
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No-regret Algorithms for Fair Resource Allocation

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Mar 11, 2023
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Online Subset Selection using $α$-Core with no Augmented Regret

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Sep 29, 2022
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Optimistic No-regret Algorithms for Discrete Caching

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Aug 15, 2022
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Universal Caching

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May 10, 2022
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