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Dennis Wei

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Trust Regions for Explanations via Black-Box Probabilistic Certification

Feb 21, 2024
Amit Dhurandhar, Swagatam Haldar, Dennis Wei, Karthikeyan Natesan Ramamurthy

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Effective Human-AI Teams via Learned Natural Language Rules and Onboarding

Nov 07, 2023
Hussein Mozannar, Jimin J Lee, Dennis Wei, Prasanna Sattigeri, Subhro Das, David Sontag

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SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation

Oct 19, 2023
Chongyu Fan, Jiancheng Liu, Yihua Zhang, Dennis Wei, Eric Wong, Sijia Liu

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Interpretable Differencing of Machine Learning Models

Jun 13, 2023
Swagatam Haldar, Diptikalyan Saha, Dennis Wei, Rahul Nair, Elizabeth M. Daly

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Convex Bounds on the Softmax Function with Applications to Robustness Verification

Mar 03, 2023
Dennis Wei, Haoze Wu, Min Wu, Pin-Yu Chen, Clark Barrett, Eitan Farchi

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Who Should Predict? Exact Algorithms For Learning to Defer to Humans

Jan 15, 2023
Hussein Mozannar, Hunter Lang, Dennis Wei, Prasanna Sattigeri, Subhro Das, David Sontag

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On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach

Nov 02, 2022
Dennis Wei, Rahul Nair, Amit Dhurandhar, Kush R. Varshney, Elizabeth M. Daly, Moninder Singh

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Downstream Fairness Caveats with Synthetic Healthcare Data

Mar 09, 2022
Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett

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Analogies and Feature Attributions for Model Agnostic Explanation of Similarity Learners

Feb 02, 2022
Karthikeyan Natesan Ramamurthy, Amit Dhurandhar, Dennis Wei, Zaid Bin Tariq

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