Pseudo-Probability Unlearning: Towards Efficient and Privacy-Preserving Machine Unlearningby Zihao Zhao, Yijiang Li, Yuchen Yang, Wenqing…
Graph-based Confidence Calibration for Large Language Modelsby Yukun Li, Sijia Wang, Lifu Huang, Li-Ping LiuFirst…
Mitigating Spurious Correlations via Disagreement Probabilityby Hyeonggeun Han, Sehwan Kim, Hyungjun Joo, Sangwoo Hong, Jungwoo…
Fixing the Loose Brake: Exponential-Tailed Stopping Time in Best Arm Identificationby Kapilan Balagopalan, Tuan Ngo…
Counterfactual explainability of black-box prediction modelsby Zijun Gao, Qingyuan ZhaoFirst submitted to arxiv on: 3…
Analysis of regularized federated learningby Langming Liu, Dingxuan ZhouFirst submitted to arxiv on: 3 Nov…
XNB: Explainable Class-Specific NaIve-Bayes Classifierby Jesus S. Aguilar-Ruiz, Cayetano Romero, Andrea CicconardiFirst submitted to arxiv…
Conformalized High-Density Quantile Regression via Dynamic Prototypes-based Probability Density Estimationby Batuhan Cengiz, Halil Faruk Karagoz,…
Variational Neural Stochastic Differential Equations with Change Pointsby Yousef El-Laham, Zhongchang Sun, Haibei Zhu, Tucker…
Constrained Sampling with Primal-Dual Langevin Monte Carloby Luiz F. O. Chamon, Mohammad Reza Karimi, Anna…