Timezone: »
Contributed Talk: Linear Models are Robust Optimal Under Strategic Behavior
Wei Tang · Chien-Ju Ho · Yang Liu
Author Information
Wei Tang (Washington University in St. Louis)
Chien-Ju Ho (Washington University in St. Louis)
Yang Liu (UC Santa Cruz)
More from the Same Authors
-
2020 : Contributed Talk: Incentives for Federated Learning: a Hypothesis Elicitation Approach »
Yang Liu · Jiaheng Wei -
2021 : Linear Classifiers that Encourage Constructive Adaptation »
Yatong Chen · Jialu Wang · Yang Liu -
2021 : When Optimizing f-divergence is Robust with Label Noise »
Jiaheng Wei · Yang Liu -
2022 : Adaptive Data Debiasing Through Bounded Exploration »
Yifan Yang · Yang Liu · Parinaz Naghizadeh -
2023 : To Aggregate or Not? Learning with Separate Noisy Labels »
Jiaheng Wei · Zhaowei Zhu · Tianyi Luo · Ehsan Amid · Abhishek Kumar · Yang Liu -
2023 : Understanding Unfairness via Training Concept Influence »
Yuanshun Yao · Yang Liu -
2023 : Towards an Efficient Algorithm for Time Series Forecasting with Anomalies »
Hao Cheng · Qingsong Wen · Yang Liu · Liang Sun -
2023 Workshop: DMLR Workshop: Data-centric Machine Learning Research »
Ce Zhang · Praveen Paritosh · Newsha Ardalani · Nezihe Merve Gürel · William Gaviria Rojas · Yang Liu · Rotem Dror · Manil Maskey · Lilith Bat-Leah · Tzu-Sheng Kuo · Luis Oala · Max Bartolo · Ludwig Schmidt · Alicia Parrish · Daniel Kondermann · Najoung Kim -
2023 Poster: Identifiability of Label Noise Transition Matrix »
Yang Liu · Hao Cheng · Kun Zhang -
2023 Poster: Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes »
Zhaowei Zhu · Yuanshun Yao · Jiankai Sun · Hang Li · Yang Liu -
2023 Poster: Model Transferability with Responsive Decision Subjects »
Yatong Chen · Zeyu Tang · Kun Zhang · Yang Liu -
2022 : Model Transferability With Responsive Decision Subjects »
Yang Liu · Yatong Chen · Zeyu Tang · Kun Zhang -
2022 Poster: Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network »
Shuo Yang · Erkun Yang · Bo Han · Yang Liu · Min Xu · Gang Niu · Tongliang Liu -
2022 Poster: Detecting Corrupted Labels Without Training a Model to Predict »
Zhaowei Zhu · Zihao Dong · Yang Liu -
2022 Poster: Understanding Instance-Level Impact of Fairness Constraints »
Jialu Wang · Xin Eric Wang · Yang Liu -
2022 Spotlight: Understanding Instance-Level Impact of Fairness Constraints »
Jialu Wang · Xin Eric Wang · Yang Liu -
2022 Spotlight: Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network »
Shuo Yang · Erkun Yang · Bo Han · Yang Liu · Min Xu · Gang Niu · Tongliang Liu -
2022 Poster: Metric-Fair Classifier Derandomization »
Jimmy Wu · Yatong Chen · Yang Liu -
2022 Poster: Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features »
Zhaowei Zhu · Jialu Wang · Yang Liu -
2022 Spotlight: Detecting Corrupted Labels Without Training a Model to Predict »
Zhaowei Zhu · Zihao Dong · Yang Liu -
2022 Spotlight: Metric-Fair Classifier Derandomization »
Jimmy Wu · Yatong Chen · Yang Liu -
2022 Spotlight: Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features »
Zhaowei Zhu · Jialu Wang · Yang Liu -
2022 Poster: To Smooth or Not? When Label Smoothing Meets Noisy Labels »
Jiaheng Wei · Hangyu Liu · Tongliang Liu · Gang Niu · Masashi Sugiyama · Yang Liu -
2022 Oral: To Smooth or Not? When Label Smoothing Meets Noisy Labels »
Jiaheng Wei · Hangyu Liu · Tongliang Liu · Gang Niu · Masashi Sugiyama · Yang Liu -
2021 Poster: Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels »
Zhaowei Zhu · Yiwen Song · Yang Liu -
2021 Spotlight: Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels »
Zhaowei Zhu · Yiwen Song · Yang Liu -
2021 Poster: Understanding Instance-Level Label Noise: Disparate Impacts and Treatments »
Yang Liu -
2021 Oral: Understanding Instance-Level Label Noise: Disparate Impacts and Treatments »
Yang Liu -
2020 Workshop: Incentives in Machine Learning »
Boi Faltings · Yang Liu · David Parkes · Goran Radanovic · Dawn Song -
2020 Poster: Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates »
Yang Liu · Hongyi Guo -
2019 Poster: Fairness without Harm: Decoupled Classifiers with Preference Guarantees »
Berk Ustun · Yang Liu · David Parkes -
2019 Oral: Fairness without Harm: Decoupled Classifiers with Preference Guarantees »
Berk Ustun · Yang Liu · David Parkes