Advancing Model Pruning via Bi-level Optimization
- Yihua Zhang
- Yuguang Yao
- et al.
- 2022
- NeurIPS 2022
Publications
Hierarchical Lattice Layer for Partially Monotone Neural Networks
- Hiroki Yanagisawa
- Kohei Miyaguchi
- et al.
- 2022
- NeurIPS 2022
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
- Dennis Wei
- Rahul Nair
- et al.
- 2022
- NeurIPS 2022
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization
- Songtao Lu
- Siliang Zeng
- et al.
- 2022
- NeurIPS 2022
Compositional generalization through abstract representations in human and artificial neural networks
- Takuya Ito
- Tim Klinger
- et al.
- 2022
- NeurIPS 2022
Accelerating Certified Robustness Training via Knowledge Transfer
- Pratik Vaishnavi
- Kevin Eykholt
- et al.
- 2022
- NeurIPS 2022
A Unified Analysis of Federated Learning with Arbitrary Client Participation
- Shiqiang Wang
- Mingyue Ji
- 2022
- NeurIPS 2022
Is this the Right Neighborhood? Accurate and Query Efficient Model Agnostic Explanations
- Amit Dhurandhar
- Karthikeyan Natesan Ramamurthy
- et al.
- 2022
- NeurIPS 2022
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees
- Songkai Xue
- Yuekai Sun
- et al.
- 2022
- NeurIPS 2022
Domain Adaptation meets Individual Fairness. And they get along.
- Debarghya Mukherjee
- Felix Petersen
- et al.
- 2022
- NeurIPS 2022