Plug-in Performative Optimization von Lin, Licong, Zrnic, Tijana

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What causes the test error? Going beyond bias-variance via ANOVA von Lin, Licong, Dobriban, Edgar

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Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining von Lin, Licong, Bai, Yu, Mei, Song

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When is it worthwhile to jackknife? Breaking the quadratic barrier for Z-estimators von Lin, Licong, Su, Fangzhou, Mou, Wenlong, Ding, Peng, Wainwright, Martin

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Semi-parametric inference based on adaptively collected data von Lin, Licong, Khamaru, Koulik, Wainwright, Martin J

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Plug-in Performative Optimization von Lin, Licong, Zrnic, Tijana

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Near-optimal multiple testing in Bayesian linear models with finite-sample FDR control von Ahn, Taejoo, Lin, Licong, Mei, Song

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Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning von Zhang, Ruiqi, Lin, Licong, Bai, Yu, Mei, Song

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Mean-field variational inference with the TAP free energy: Geometric and statistical properties in linear models von Celentano, Michael, Fan, Zhou, Lin, Licong, Mei, Song

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Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning von Fan, Chongyu, Liu, Jiancheng, Lin, Licong, Jia, Jinghan, Zhang, Ruiqi, Mei, Song, Liu, Sijia

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Scaling Laws in Linear Regression: Compute, Parameters, and Data von Lin, Licong, Wu, Jingfeng, Kakade, Sham M, Bartlett, Peter L, Lee, Jason D

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What causes the test error? Going beyond bias-variance via ANOVA von Lin, Licong, Dobriban, Edgar

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Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference von Lin, Licong, Ying, Mufang, Ghosh, Suvrojit, Khamaru, Koulik, Zhang, Cun-Hui

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Second-order Information in First-order Optimization Methods von Hu, Yuzheng, Lin, Licong, Tang, Shange

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On Oscillation of First Order Nonlinear Neutral Equations von Lin, L.C., Wang, G.Q.

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Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining von Lin, Licong, Bai, Yu, Song, Mei

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Near-optimal multiple testing in Bayesian linear models with finite-sample FDR control von Ahn, Taejoo, Lin, Licong, Song, Mei

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When is it worthwhile to jackknife? Breaking the quadratic barrier for Z-estimators von Lin, Licong, Su, Fangzhou, Mou, Wenlong, Ding, Peng, Wainwright, Martin

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Semi-parametric inference based on adaptively collected data von Lin, Licong, Khamaru, Koulik, Wainwright, Martin J

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Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning von Zhang, Ruiqi, Lin, Licong, Bai, Yu, Song, Mei

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