Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural…
Quantifying Distribution Shifts and Uncertainties for Enhanced Model Robustness in Machine Learning Applicationsby Vegard FlovikFirst…
Mathematics of statistical sequential decision-making: concentration, risk-awareness and modelling in stochastic bandits, with applications to…
Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarksby Guanhua Zhang, Moritz HardtFirst submitted to…
Enhancing User Experience in On-Device Machine Learning with Gated Compression Layersby Haiguang Li, Usama Pervaiz,…
Uniformly Stable Algorithms for Adversarial Training and Beyondby Jiancong Xiao, Jiawei Zhang, Zhi-Quan Luo, Asuman…
Early-stage detection of cognitive impairment by hybrid quantum-classical algorithm using resting-state functional MRI time-seriesby Junggu…
Text Quality-Based Pruning for Efficient Training of Language Modelsby Vasu Sharma, Karthik Padthe, Newsha Ardalani,…
Lightweight Conceptual Dictionary Learning for Text Classification Using Information Compressionby Li Wan, Tansu Alpcan, Margreta…
Wildfire Risk Prediction: A Reviewby Zhengsen Xu, Jonathan Li, Sibo Cheng, Xue Rui, Yu Zhao,…