Publications

1489 results for Machine Learning

Estimating Fréchet bounds for validating programmatic weak supervision
- - Felipe Maia Polo
  - Mikhail Yurochkin
  - et al.
- 2023
- NeurIPS 2023
Causal Markov Blanket Representation Learning for Out-of-distribution Generalization
- - Naiyu Yin
  - Hanjing Wang
  - et al.
- 2023
- NeurIPS 2023
Duality and Sample Complexity for the Gromov-Wasserstein Distance
- - Zhengxin Zhang
  - Ziv Goldfeld
  - et al.
- 2023
- NeurIPS 2023
IDMU: Impact Driven Machine Unlearning
- - Shubhi Asthana
  - Bing Zhang
  - et al.
- 2023
- NeurIPS 2023
Explaining knock-on effects of bias mitigation
- - Svetoslav Nizhnichenkov
  - Rahul Nair
  - et al.
- 2023
- NeurIPS 2023
On Representations of Mean-Field Variational Inference
- - Soumyadip Ghosh
  - Yingdong Lu
  - et al.
- 2023
- NeurIPS 2023
Influence Based Approaches to Algorithmic Fairness: A Closer Look
- - Soumya Ghosh
  - Prasanna Sattigeri
  - et al.
- 2023
- NeurIPS 2023
On the Promise and Challenges of Foundation Models for Learning-based Cloud Systems Management
- - Haoran Qiu
  - Weichao Mao
  - et al.
- 2023
- NeurIPS 2023
Associative Memory & Hopfield Networks in 2023
- - Parikshit Ram
  - Hilde Kuehne
  - et al.
- 2023
- NeurIPS 2023
PALM: Adaptive Resource Allocation for Datacenter Power Capping
- - Haoran Qiu
  - Linghao Zhang
  - et al.
- 2023
- NeurIPS 2023