NeurIPS 2024 will take place at the Vancouver Convention Center from December 10-15, bringing together the world’s leading experts in artificial intelligence and machine learning.

Accepted Papers Overview:

Optimal Parallelization of Boosting*
Arthur da Cunha, Mikael Møller Høgsgaard, Kasper Green Larsen
Link: https://arxiv.org/abs/2408.16653

Derandomizing Multi-Distribution Learning
Kasper Green Larsen, Omar Montasser, Nikita Zhivotovskiy
Link: https://arxiv.org/abs/2409.17567

The Many Faces of Optimal Weak-to-Strong Learning
Mikael Møller Høgsgaard, Kasper Green Larsen, Markus Engelund Mathiasen
Link: https://arxiv.org/abs/2408.17148

LoQT: Low Rank Adapters for Quantized Training
Sebastian Loeschcke, Mads Toftrup, Michael J. Kastoryano, Serge Belongie, Vésteinn Snæbjarnarson
Link: https://arxiv.org/abs/2405.16528

FUGAL: Feature-fortified Unrestricted Graph Alignment
Aditya Bommakanti, Harshith Reddy Vonteri, Konstantinos Skitsas, Sayan Ranu, Davide Mottin, Panagiotis Karras
Link: TBA

Proportional Fairness in Non-Centroid Clustering
Ioannis Caragiannis, Evi Micha and Nisarg Shah
Link: https://www.cs.toronto.edu/~emicha/papers/fair-noncentroid-clustering.pdf

*Selected for oral presentation at NeurIPS 2024

About NeurIPS
Founded in 1987, NeurIPS is a leading interdisciplinary conference focused on machine learning and artificial intelligence. The annual event features invited talks, refereed papers, workshops, and tutorials, fostering a space for the exchange of cutting-edge research ideas. For more information, visit the official NeurIPS website (https://neurips.cc/).