Optimization
A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization
Sulaiman Alghunaim, Kun Yuan, Ali H. Sayed
Neural Information Processing Systems http://nips.cc/
Stochastic Cubic Regularization for Fast Nonconvex Optimization
Nilesh Tripuraneni, Mitchell Stern, Chi Jin, Jeffrey Regier, Michael I. Jordan
Neural Information Processing Systems http://nips.cc/
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization
Shusen Wang, Fred Roosta, Peng Xu, Michael W. Mahoney
Neural Information Processing Systems http://nips.cc/
Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach
In this paper, we propose an online convex optimization approach with two different levels of adaptivity. On a higher level, our approach is agnostic to the unknown types and curvatures of the online functions, while at a lower level, it can exploit the unknown niceness of the environments and attain problem-dependent guarantees.
E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection
Multimodal image fusion and object detection are crucial for autonomous driving. While current methods have advanced the fusion of texture details and semantic information, their complex training processes hinder broader applications. Addressing this challenge, we introduce E2E-MFD, a novel end-to-end algorithm for multimodal fusion detection.
Certifiable Robustness to Graph Perturbations
Aleksandar Bojchevski, Stephan Gรผnnemann
Neural Information Processing Systems http://nips.cc/
Preference Based Adaptation for Learning Objectives
Neural Information Processing Systems http://nips.cc/
Do Less, Get More: Streaming Submodular Maximization with Subsampling
Moran Feldman, Amin Karbasi, Ehsan Kazemi
Neural Information Processing Systems http://nips.cc/
Tight Dimension Independent Lower Bound on the Expected Convergence Rate for Diminishing Step Sizes in SGD
PHUONG_HA NGUYEN, Lam Nguyen, Marten van Dijk
Neural Information Processing Systems http://nips.cc/
Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization
Rad Niazadeh, Tim Roughgarden, Joshua Wang
Neural Information Processing Systems http://nips.cc/