VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building von Daum, Maureen, Zhang, Enhao, He, Dong, Mussmann, Stephen, Haynes, Brandon, Krishna, Ranjay, Balazinska, Magdalena

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Continuous nonlinear adaptive experimental design with gradient flow von Jin, Ruhui, Li, Qin, Mussmann, Stephen O, Wright, Stephen J

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Uncertainty Sampling is Preconditioned Stochastic Gradient Descent on Zero-One Loss von Mussmann, Stephen, Liang, Percy

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On the Relationship between Data Efficiency and Error for Uncertainty Sampling von Mussmann, Stephen, Liang, Percy

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Generalized Binary Search For Split-Neighborly Problems von Mussmann, Stephen, Liang, Percy

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On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks von Mussmann, Stephen, Jia, Robin, Liang, Percy

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VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building [Technical Report] von Daum, Maureen, Zhang, Enhao, He, Dong, Mussmann, Stephen, Haynes, Brandon, Krishna, Ranjay, Balazinska, Magdalena

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Active Learning with Expected Error Reduction von Mussmann, Stephen, Reisler, Julia, Tsai, Daniel, Mousavi, Ehsan, O'Brien, Shayne, Goldszmidt, Moises

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A Tight Analysis of Greedy Yields Subexponential Time Approximation for Uniform Decision Tree von Li, Ray, Liang, Percy, Mussmann, Stephen

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Continuous nonlinear adaptive experimental design with gradient flow von Jin, Ruhui, Li, Qin, Mussmann, Stephen O, Wright, Stephen J

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LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning von Zhang, Jifan, Chen, Yifang, Canal, Gregory, Mussmann, Stephen, Das, Arnav M, Bhatt, Gantavya, Zhu, Yinglun, Bilmes, Jeffrey, Du, Simon Shaolei, Jamieson, Kevin, Nowak, Robert D

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An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models von Bhatt, Gantavya, Chen, Yifang, Das, Arnav M, Zhang, Jifan, Truong, Sang T, Mussmann, Stephen, Zhu, Yinglun, Bilmes, Jeffrey, Du, Simon S, Jamieson, Kevin, Ash, Jordan T, Nowak, Robert D

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On the Relationship between Data Efficiency and Error for Uncertainty Sampling von Mussmann, Stephen, Liang, Percy

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Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation von Chen, Mayee F, Cohen-Wang, Benjamin, Mussmann, Stephen, Sala, Frederic, Ré, Christopher

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Generalized Binary Search For Split-Neighborly Problems von Mussmann, Stephen, Liang, Percy

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Fast Amortized Inference and Learning in Log-linear Models with Randomly Perturbed Nearest Neighbor Search von Mussmann, Stephen, Levy, Daniel, Ermon, Stefano

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Concept Bottleneck Models von Koh, Pang Wei, Nguyen, Thao, Tang, Yew Siang, Mussmann, Stephen, Pierson, Emma, Kim, Been, Liang, Percy

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On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks von Mussmann, Stephen, Jia, Robin, Liang, Percy

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VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building [Technical Report] von Daum, Maureen, Zhang, Enhao, He, Dong, Mussmann, Stephen, Haynes, Brandon, Krishna, Ranjay, Balazinska, Magdalena

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Selection via Proxy: Efficient Data Selection for Deep Learning von Coleman, Cody, Yeh, Christopher, Mussmann, Stephen, Mirzasoleiman, Baharan, Bailis, Peter, Liang, Percy, Leskovec, Jure, Zaharia, Matei

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