Parameter-Free Algorithms for Performative Regret Minimization under Decision-Dependent Distributionsby Sungwoo Park, Junyeop Kwon, Byeongnoh Kim,…
Quaternion recurrent neural network with real-time recurrent learning and maximum correntropy criterionby Pauline Bourigault, Dongpo…
Reconstruction-Based Anomaly Localization via Knowledge-Informed Self-Trainingby Cheng Qian, Xiaoxian Lao, Chunguang LiFirst submitted to arxiv…
LLM-Assisted Content Conditional Debiasing for Fair Text Embeddingby Wenlong Deng, Blair Chen, Beidi Zhao, Chiyu…
Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimationby Gavin Brown,…
Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positiveby Arka Pal, Deep Karkhanis, Samuel Dooley,…
Analysis of Using Sigmoid Loss for Contrastive Learningby Chungpa Lee, Joonhwan Chang, Jy-yong SohnFirst submitted…
Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Lossby Paul Krzakala, Junjie Yang,…
Learning Memory Kernels in Generalized Langevin Equationsby Quanjun Lang, Jianfeng LuFirst submitted to arxiv on:…
Quantum-Inspired Analysis of Neural Network Vulnerabilities: The Role of Conjugate Variables in System Attacksby Jun-Jie…