Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression
- Ilias Diakonikolas
- Daniel Kane
- et al.
- 2023
- NeurIPS 2023
Publications
1594 results for Machine Learning
Towards Label Position Bias in Graph Neural Networks
- Haoyu Han
- Xiaorui Liu
- et al.
- 2023
- NeurIPS 2023
Model Sparsity Can Simplify Machine Unlearning
- Jinghan Jia
- Jiancheng Liu
- et al.
- 2023
- NeurIPS 2023
Modulated Neural ODEs
- Ilze Amanda Auzina
- Cagatay Yildiz
- et al.
- 2023
- NeurIPS 2023
On the role of entanglement and statistics in learning
- Srinivasan Arunachalam
- Vojtech Havlicek
- et al.
- 2023
- NeurIPS 2023
Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity
- Weichao Mao
- Haoran Qiu
- et al.
- 2023
- NeurIPS 2023
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition
- Nicolas Menet
- Michael Hersche
- et al.
- 2023
- NeurIPS 2023
TIES-Merging: Resolving Interference When Merging Models
- Prateek Yadav
- Derek Tam
- et al.
- 2023
- NeurIPS 2023
Machine learning derived sub-seasonal to seasonal extremes
- Daniel Salles Civitarese
- Bianca Zadrozny
- 2023
- NeurIPS 2023
On Representations of Mean-Field Variational Inference
- Soumyadip Ghosh
- Yingdong Lu
- et al.
- 2023
- NeurIPS 2023