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Nika Haghtalab

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Can Probabilistic Feedback Drive User Impacts in Online Platforms?

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Jan 25, 2024
Jessica Dai, Bailey Flanigan, Nika Haghtalab, Meena Jagadeesan, Chara Podimata

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Smooth Nash Equilibria: Algorithms and Complexity

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Sep 21, 2023
Constantinos Daskalakis, Noah Golowich, Nika Haghtalab, Abhishek Shetty

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Delegating Data Collection in Decentralized Machine Learning

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Sep 04, 2023
Nivasini Ananthakrishnan, Stephen Bates, Michael I. Jordan, Nika Haghtalab

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The Sample Complexity of Multi-Distribution Learning for VC Classes

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Jul 22, 2023
Pranjal Awasthi, Nika Haghtalab, Eric Zhao

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Jailbroken: How Does LLM Safety Training Fail?

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Jul 05, 2023
Alexander Wei, Nika Haghtalab, Jacob Steinhardt

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Improved Bayes Risk Can Yield Reduced Social Welfare Under Competition

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Jun 26, 2023
Meena Jagadeesan, Michael I. Jordan, Jacob Steinhardt, Nika Haghtalab

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Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents

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Jun 05, 2023
Nika Haghtalab, Chara Podimata, Kunhe Yang

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Smoothed Analysis of Sequential Probability Assignment

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Mar 08, 2023
Alankrita Bhatt, Nika Haghtalab, Abhishek Shetty

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A Unifying Perspective on Multi-Calibration: Unleashing Game Dynamics for Multi-Objective Learning

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Feb 21, 2023
Nika Haghtalab, Michael I. Jordan, Eric Zhao

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Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty

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Feb 20, 2023
Wenshuo Guo, Nika Haghtalab, Kirthevasan Kandasamy, Ellen Vitercik

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