Publications

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
Self-Supervised Multi-Granularity Map Learning for Vision-and-Language Navigation
- - Peihao Chen
  - Dongyu Ji
  - et al.
- 2022
- NeurIPS 2022
S³-NeRF: Neural Reflectance Field from Shading and Shadow under a Single Viewpoint
- - Wenqi Yang
  - Guanying Chen
  - et al.
- 2022
- NeurIPS 2022
Approximate Euclidean lengths and distances beyond Johnson-Lindenstrauss
- - Aleksandros Sobczyk
  - Mathieu Luisier
- 2022
- NeurIPS 2022