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Active Learning with Expected Error Reduction


Nov 17, 2022
Stephen Mussmann, Julia Reisler, Daniel Tsai, Ehsan Mousavi, Shayne O'Brien, Moises Goldszmidt


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Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation


Mar 03, 2021
Mayee F. Chen, Benjamin Cohen-Wang, Stephen Mussmann, Frederic Sala, Christopher Ré

* To appear in AISTATS 2021 

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On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks


Oct 10, 2020
Stephen Mussmann, Robin Jia, Percy Liang

* In Findings of EMNLP 2020 

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Concept Bottleneck Models


Jul 09, 2020
Pang Wei Koh, Thao Nguyen, Yew Siang Tang, Stephen Mussmann, Emma Pierson, Been Kim, Percy Liang

* ICML 2020 

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A Tight Analysis of Greedy Yields Subexponential Time Approximation for Uniform Decision Tree


Jun 26, 2019
Ray Li, Percy Liang, Stephen Mussmann

* 40 pages, 5 figures 

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Selection Via Proxy: Efficient Data Selection For Deep Learning


Jun 26, 2019
Cody Coleman, Christopher Yeh, Stephen Mussmann, Baharan Mirzasoleiman, Peter Bailis, Percy Liang, Jure Leskovec, Matei Zaharia


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Uncertainty Sampling is Preconditioned Stochastic Gradient Descent on Zero-One Loss


Dec 05, 2018
Stephen Mussmann, Percy Liang

* NeurIPS 2018 

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On the Relationship between Data Efficiency and Error for Uncertainty Sampling


Jun 15, 2018
Stephen Mussmann, Percy Liang


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Generalized Binary Search For Split-Neighborly Problems


Feb 27, 2018
Stephen Mussmann, Percy Liang

* AISTATS 2018 

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Fast Amortized Inference and Learning in Log-linear Models with Randomly Perturbed Nearest Neighbor Search


Jul 11, 2017
Stephen Mussmann, Daniel Levy, Stefano Ermon

* In UAI proceedings 

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