A New Theoretical Perspective on Data Heterogeneity in Federated Optimization
- Jiayi Wang
- Shiqiang Wang
- et al.
- 2023
- ICML 2023
Publications
44 results at ICML 2023
Slicing Mutual Information Generalization Bounds for Neural Networks
- Kimia Nadjahi
- Kristjan Greenewald
- et al.
- 2023
- ICML 2023
Identifiability Guarantees for Causal Disentanglement from Soft Interventions
- Jiaqi Zhang
- Chandler Squires
- et al.
- 2023
- ICML 2023
Fast Feature Selection with Fairness Constraints
- Francesco Quinzan
- Rajiv Khanna
- 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
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
Regression with Sensor Data Containing Incomplete Observations
- 2023
- ICML 2023
Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies
- Hiroshi Kajino
- Kohei Miyaguchi
- et al.
- 2023
- ICML 2023
Learning Prescriptive ReLU Networks
- Wei Sun
- Asterios Tsiourvas
- 2023
- ICML 2023