Slicing Mutual Information Generalization Bounds for Neural Networks
- Kimia Nadjahi
- Kristjan Greenewald
- et al.
- 2023
- ICML 2023
Publications
44 results at ICML 2023
A New Theoretical Perspective on Data Heterogeneity in Federated Optimization
- Jiayi Wang
- Shiqiang Wang
- et al.
- 2023
- ICML 2023
Fast Feature Selection with Fairness Constraints
- Francesco Quinzan
- Rajiv Khanna
- et al.
- 2023
- ICML 2023
Towards a Theoretical and Practical Understanding of One-Shot Federated Learning with Fisher Information
- Divyansh Jhunjhunwala
- Shiqiang Wang
- et al.
- 2023
- ICML 2023
The 2nd Workshop on New Frontiers in Adversarial Machine Learning
- Sijia Liu
- Pin-Yu Chen
- et al.
- 2023
- ICML 2023
Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data
- Yonggui Yan
- Jie Chen
- et al.
- 2023
- ICML 2023
Simple Disentanglement of Style and Content in Visual Representations
- Lilian Ngweta
- Subha Maity
- et al.
- 2023
- ICML 2023
Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction
- Minghao Guo
- Veronika Thost
- et al.
- 2023
- ICML 2023
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning
- Timothy Castiglia
- Yi Zhou
- et al.
- 2023
- ICML 2023
Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning
- Zhuqing Liu
- Xin Zhang
- et al.
- 2023
- ICML 2023