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Trump's Iran Agreement Draws More Alarm Than Relief From GOP

TIME - Tech

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Iranians Welcome a Peace Deal, but Worry About What Comes Next

TIME - Tech

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Generalized Top-k Mallows Model for Ranked Choices

Neural Information Processing Systems

The classic Mallows model is a foundational tool for modeling user preferences. However, it has limitations in capturing real-world scenarios, where users often focus only on a limited set of preferred items and are indifferent to the rest. To address this, extensions such as the top-k Mallows model have been proposed, aligning better with practical applications. In this paper, we address several challenges related to the generalized top-k Mallows model, with a focus on analyzing buyer choices. Our key contributions are: (1) a novel sampling scheme tailored to generalized top-k Mallows models, (2) an efficient algorithm for computing choice probabilities under this model, and (3) an active learning algorithm for estimating the model parameters from observed choice data. These contributions provide new tools for analysis and prediction in critical decision-making scenarios. We present a rigorous mathematical analysis for the performance of our algorithms. Furthermore, through extensive experiments on synthetic data and real-world data, we demonstrate the scalability and accuracy of our proposed methods, and we compare the predictive power of Mallows model for top-k lists compared to the simpler Multinomial Logit model.


Trump Champions Peace Agreement, Threatens to Resume Bombing If Iran Doesn't Comply

TIME - Tech

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A Rock Band Went Viral. Then AI Scammers Moved In

TIME - Tech

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Why You're Seeing a PA or NP--But Not a Doctor

TIME - Tech

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Breaking Down the Thrilling Ending of Widow's Bay

TIME - Tech

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How to Make an Impact in the AI Economy

TIME - Tech

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Energy Independence is Becoming Solar's Strongest Selling Point

TIME - Tech

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Read the Full Text of the 14-Point Draft Agreement Between the U.S. and Iran

TIME - Tech

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