Where did the creator of 'Improving Web Usability Through Visualization' obtain his PhD degree?
University of Minnesota
Ed H. Chi. Ananth Balashankar et al.: Improving Classifier Robustness. (2019) authored by Ed H. Chi. Wang-Cheng Kang et al.: Deep Hash Embedding for Large-Vocab Categorical Feature Representations. (2019) authored by Ed H. Chi. Wang-Cheng Kang et al.: Toward a better trade-off between performance and fairness with kernel-based Xinyang Yi et al.: Sampling-bias-corrected neural modeling for large corpus item recommendations. (2019) authored by Ed H. Chi. Romal Thoppilan et al.: BRPO: Batch Residual Policy Optimization. (2020) authored by Ed H. Chi. Sungryull Sohn et al.: BRPO: Batch Residual Policy Optimization. (2020) authored by Ed H. Chi. Yijie Guo et al.: Batch Reinforcement Learning Through Continuation Method. (2019) authored by Ed H. Chi. Ananth Balashankar et al.: Personalized Aspect Extraction for Recommendations. (2019) authored by Ed H. Chi. Pan Li et al.: Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations. (2019) authored by Ed H. Chi Ed H. Chi. Bo Chang et al.: AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks. (2019) authored by Ed H. Chi. Xuezhi Wang et al.: Rationale-Augmented Ensembles in Language Models. (2022) authored by Ed H. Chi. Ge Liu et al.: Understanding Fairness in Multi-Task ML Systems. (2019) authored by Ed H <unk>nChi was elected to the CHI Academy in 2018. <unk>nHe is the author of Fairness without Demographics through Adversarially Reweighted Learning. (2020) authored by Ed H. Chi. Abhishek Naik et al.: Investigating Action-Space Generalization in Reinforced Learning for Recommendation Systems. CHI is married and has one daughter. He published a paper analyzing edits to Wikipedia, looking at content contributed vs the author<unk>'s edit count.
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Question: Where did the creator of 'Improving Web Usability Through Visualization' obtain his PhD degree?
Context: Ed H. Chi. Ananth Balashankar et al.: Improving Classifier Robustness. (2019) authored by Ed H. Chi. Wang-Cheng Kang et al.: Deep Hash Embedding for Large-Vocab Categorical Feature Representations. (2019) authored by Ed H. Chi. Wang-Cheng Kang et al.: Toward a better trade-off between performance and fairness with kernel-based Xinyang Yi et al.: Sampling-bias-corrected neural modeling for large corpus item recommendations. (2019) authored by Ed H. Chi. Romal Thoppilan et al.: BRPO: Batch Residual Policy Optimization. (2020) authored by Ed H. Chi. Sungryull Sohn et al.: BRPO: Batch Residual Policy Optimization. (2020) authored by Ed H. Chi. Yijie Guo et al.: Batch Reinforcement Learning Through Continuation Method. (2019) authored by Ed H. Chi. Ananth Balashankar et al.: Personalized Aspect Extraction for Recommendations. (2019) authored by Ed H. Chi. Pan Li et al.: Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations. (2019) authored by Ed H. Chi Ed H. Chi. Bo Chang et al.: AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks. (2019) authored by Ed H. Chi. Xuezhi Wang et al.: Rationale-Augmented Ensembles in Language Models. (2022) authored by Ed H. Chi. Ge Liu et al.: Understanding Fairness in Multi-Task ML Systems. (2019) authored by Ed H <unk>nChi was elected to the CHI Academy in 2018. <unk>nHe is the author of Fairness without Demographics through Adversarially Reweighted Learning. (2020) authored by Ed H. Chi. Abhishek Naik et al.: Investigating Action-Space Generalization in Reinforced Learning for Recommendation Systems. CHI is married and has one daughter. He published a paper analyzing edits to Wikipedia, looking at content contributed vs the author<unk>'s edit count.
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