More from the Same Authors

• 2021 : Stateful Performative Gradient Descent »
  Zachary Izzo · James Zou · Lexing Ying
• 2022 : On the nonlinear correlation of ML performance across data subpopulations »
  Weixin Liang · Yining Mao · Yongchan Kwon · Xinyu Yang · James Zou
• 2022 : MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts »
  Weixin Liang · Xinyu Yang · James Zou
• 2022 : Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning »
  Weixin Liang · Yuhui Zhang · Yongchan Kwon · Serena Yeung · James Zou
• 2022 : Invited talk #2 James Zou (Title: Machine learning to make clinical trials more efficient and diverse) »
  James Zou
• 2022 : Contributed Talk 2: MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts »
  Weixin Liang · Xinyu Yang · James Zou
• 2022 Poster: Meaningfully debugging model mistakes using conceptual counterfactual explanations »
  Abubakar Abid · Mert Yuksekgonul · James Zou
• 2022 Spotlight: Meaningfully debugging model mistakes using conceptual counterfactual explanations »
  Abubakar Abid · Mert Yuksekgonul · James Zou
• 2019 Poster: Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits »
  Martin Zhang · James Zou · David Tse
• 2019 Oral: Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits »
  Martin Zhang · James Zou · David Tse
• 2017 Poster: Estimating the unseen from multiple populations »
  Aditi Raghunathan · Greg Valiant · James Zou
• 2017 Poster: Learning Latent Space Models with Angular Constraints »
  Pengtao Xie · Yuntian Deng · Yi Zhou · Abhimanu Kumar · Yaoliang Yu · James Zou · Eric Xing
• 2017 Talk: Learning Latent Space Models with Angular Constraints »
  Pengtao Xie · Yuntian Deng · Yi Zhou · Abhimanu Kumar · Yaoliang Yu · James Zou · Eric Xing
• 2017 Talk: Estimating the unseen from multiple populations »
  Aditi Raghunathan · Greg Valiant · James Zou