Summary of Stabilizing Linear Passive-aggressive Online Learning with Weighted Reservoir Sampling, by Skyler Wu et al.
Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Samplingby Skyler Wu, Fred Lu, Edward Raff,…
Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Samplingby Skyler Wu, Fred Lu, Edward Raff,…
Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applicationsby Matthew Werenski, Brendan Mallery, Shuchin Aeron,…
Global Convergence in Training Large-Scale Transformersby Cheng Gao, Yuan Cao, Zihao Li, Yihan He, Mengdi…
Domain-decomposed image classification algorithms using linear discriminant analysis and convolutional neural networksby Axel Klawonn, Martin…
Random Heterogeneous Neurochaos Learning Architecture for Data Classificationby Remya Ajai A S, Nithin NagarajFirst submitted…
Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivityby Abulikemu Abuduweili, Changliu LiuFirst submitted…
Resource Governance in Networked Systems via Integrated Variational Autoencoders and Reinforcement Learningby Qiliang Chen, Babak…
Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspectiveby Haixiang Sun, Ye ShiFirst submitted…
Adaptive Network Intervention for Complex Systems: A Hierarchical Graph Reinforcement Learning Approachby Qiliang Chen, Babak…
On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Gamesby…