Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity Theory
- Kai Xu
- Hong Ge
- 2024
- ICML 2024
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- Machine Learning
1423 results for Machine Learning
Efficient Contrastive Learning for Fast and Accurate Inference on Graphs
- Teng Xiao
- Huaisheng Zhu
- et al.
- 2024
- ICML 2024
Risk Aware Benchmarking of Large Language Models
- Apoorva Nitsure
- Youssef Mroueh
- et al.
- 2024
- ICML 2024
A New Theoretical Perspective on Data Heterogeneity in Federated Averaging
- Jiayi Wang
- Shiqiang Wang
- et al.
- 2024
- ICML 2024
What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
- Irene Ko
- Pin-Yu Chen
- 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
Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series
- Asterios Tsiourvas
- Wei Sun
- et al.
- 2024
- ICML 2024
A new computationally efficient algorithm to solve Feature Selection for Functional Data Classification in high-dimensional spaces
- Tobia Boschi
- Francesca Bonin
- et al.
- 2024
- ICML 2024
Slicing Mutual Information Generalization Bounds for Neural Networks
- Kimia Nadjahi
- Kristjan Greenewald
- et al.
- 2024
- ICML 2024
Federated Learning for Discrete Optimal Transport with Large Population under Incomplete Information
- Juntao Chen
- Yingdong Lu
- 2024
- ISMP 2024