Publications

1615 results for Machine Learning

Slicing Mutual Information Generalization Bounds for Neural Networks
- - Kimia Nadjahi
  - Kristjan Greenewald
  - et al.
- 2024
- ICML 2024
Conference paper
What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
- - Irene Ko
  - Pin-Yu Chen
  - et al.
- 2024
- ICML 2024
Conference paper
Proactive DP: A Multiple Target Optimization Framework for DP-SGD
- - Marten Van Dijk
  - Nhuong Nguyen
  - et al.
- 2024
- ICML 2024
Conference paper
Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity Theory
- - Kai Xu
  - Hong Ge
- 2024
- ICML 2024
Conference paper
FADAS: Towards Federated Adaptive Asynchronous Optimization
- - Yujia Wang
  - Shiqiang Wang
  - et al.
- 2024
- ICML 2024
Conference paper
Federated Learning for Discrete Optimal Transport with Large Population under Incomplete Information
- - Juntao Chen
  - Yingdong Lu
- 2024
- ISMP 2024
Invited talk
Generation constraint scaling can mitigate hallucination
- - Georgios Kollias
  - Payel Das
  - et al.
- 2024
- ICML 2024
Workshop paper
Needle in the Haystack for Memory Based Large Language Models
- - Payel Das
  - Soham Dan
  - et al.
- 2024
- ICML 2024
Workshop paper
Towards Assurance of LLM Adversarial Robustness using Ontology-Driven Argumentation
- - Tomas Bueno Momcilovic
  - Beat Buesser
  - et al.
- 2024
- xAI 2024
Workshop paper
Identifying Homogeneous and Interpretable Groups for Conformal Prediction
- - Natalia Martinez Gil
  - Dhaval Patel
  - et al.
- 2024
- UAI 2024
Conference paper