Interventional Causal Discovery in a Mixture of DAGsBurak VariciDmitriy Katz-Rogozhnikovet al.2024NeurIPS 2024
SalUn: Empowering Machine Unlearning via Gradient-Based Weight Saliency in Both Image Classification and GenerationChongyu FanJiancheng Liuet al.2024ICLR 2024
CoFrNets: Interpretable Neural Architecture Inspired by Continued FractionsIsha PuriAmit Dhurandharet al.2021NeurIPS 2021
Decision-Making Under Selective Labels: Optimal Finite-Domain Policies and BeyondDennis Wei2021ICML 2021
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian NetworksDennis WeiTian Gaoet al.2020NeurIPS 2020
Is there a trade-off between fairness and accuracy? A perspective using mismatched hypothesis testingSanghamitra DuttaDennis Weiet al.2020ICML 2020
Trust Regions for Explanations via Black-Box Probabilistic CertificationAmit DhurandharSwagatam Haldaret al.2024ICML 2024
Effective Human-AI Teams via Learned Natural Language Rules and OnboardingHussein MozannarJimin Leeet al.2023NeurIPS 2023
On the Safety of Interpretable Machine Learning: A Maximum Deviation ApproachDennis WeiRahul Nairet al.2022NeurIPS 2022