Publications

54 results at ICML 2024

A New Theoretical Perspective on Data Heterogeneity in Federated Averaging
- - Jiayi Wang
  - Shiqiang Wang
  - et al.
- 2024
- ICML 2024
Proactive DP: A Multiple Target Optimization Framework for DP-SGD
- - Marten Van Dijk
  - Nhuong Nguyen
  - et al.
- 2024
- ICML 2024
Slicing Mutual Information Generalization Bounds for Neural Networks
- - Kimia Nadjahi
  - Kristjan Greenewald
  - et al.
- 2024
- ICML 2024
Trust Regions for Explanations via Black-Box Probabilistic Certification
- - Amit Dhurandhar
  - Swagatam Haldar
  - et al.
- 2024
- ICML 2024
Latent Space Symmetry Discovery
- - Jianke Yang
  - Nima Dehmamy
  - et al.
- 2024
- ICML 2024
Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints
- - Yunsheng Tian
  - Ane Zuniga
  - et al.
- 2024
- ICML 2024
Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series
- - Asterios Tsiourvas
  - Wei Sun
  - et al.
- 2024
- ICML 2024
Risk Aware Benchmarking of Large Language Models
- - Apoorva Nitsure
  - Youssef Mroueh
  - et al.
- 2024
- ICML 2024
Thermometer: Towards Universal Calibration for Large Language Models
- - Maohao Shen
  - Subhro Das
  - et al.
- 2024
- ICML 2024
How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?
- - Hongkang Li
  - Meng Weng
  - et al.
- 2024
- ICML 2024