Selective Explanations
- Lucas Monteiro Paes
- Dennis Wei
- et al.
- 2024
- NeurIPS 2024
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77 results for Dennis Wei
Interventional Causal Discovery in a Mixture of DAGs
- Burak Varici
- Dmitriy Katz-Rogozhnikov
- et al.
- 2024
- NeurIPS 2024
Better Bias Benchmarking of Language Models via Multi-factor Analysis
- Hannah Powers
- Ioana Baldini Soares
- et al.
- 2024
- NeurIPS 2024
Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods
- Dennis Wei
- Inkit Padhi
- et al.
- 2024
- NeurIPS 2024
Using Causal Inference to Investigate Contraceptive Discontinuation in Sub-Saharan Africa
- Victor Akinwande
- Megan Macgregor
- et al.
- 2024
- IJCAI 2024
Trust Regions for Explanations via Black-Box Probabilistic Certification
- Amit Dhurandhar
- Swagatam Haldar
- et al.
- 2024
- ICML 2024
Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs
- Swanand Ravindra Kadhe
- Farhan Ahmed
- et al.
- 2024
- ICML 2024
Facilitating Human-LLM Collaboration through Factuality Scores and Source Attributions
- Hyo Jin Do
- Rachel Ostrand
- et al.
- 2024
- CHI 2024
SalUn: Empowering Machine Unlearning via Gradient-Based Weight Saliency in Both Image Classification and Generation
- Chongyu Fan
- Jiancheng Liu
- et al.
- 2024
- ICLR 2024
Causal Bandits with General Causal Models and Interventions
- Zirui Yan
- Dennis Wei
- et al.
- 2024
- AISTATS 2024