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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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Understanding Trajectory Behavior: A Motion Pattern Approach

Jan 04, 2015
Mahdi M. Kalayeh, Stephen Mussmann, Alla Petrakova, Niels da Vitoria Lobo, Mubarak Shah

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